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HiT-IT’2023: First announcement
by Caro Quintana, Rocío I. 08 Aug '22

08 Aug '22

HiT-IT’2023 (HiT-IT conference: Human-informed Translation and Interpreting Technology) Naples, Italy, 6-8 July 2023 First announcement The conference We are pleased to announce the first Conference on Human-Informed Translation and Interpreting Technology. HiT-IT 2023 is a follow-up of the successful HiT-IT workshops, which took place in Varna, Bulgaria in parallel to the international conferences RANLP 2017 and RANLP 2019. The conference will take place on Naples, Italy, 6-8 July, 2023. HiT-IT seeks to act as a meeting point for (and invites) researchers working in translation and interpreting technologies, practicing technology-minded translators and interpreters, companies and freelancers providing services in translation and interpreting as well as companies developing tools for translators and interpreters. In addition to the accepted papers for presentation, HiT-IT will feature invited talks by prominent experts as well as presentations and panels hosted by practitioners. Human translation and interpreting as well as Machine Translation (MT) (including Automatic Speech Translation) aim to solve the same problem (i.e. facilitate communication between different languages) but in most cases obtain different results. While human translation so far is largely preferred by businesses and individuals in terms of quality, it requires high cognitive efforts and a lot of time. MT is much faster and can process large amounts of textual data in no time, but its results have obvious shortcomings for the average human. However, the quality of MT has been improving and MT now is part of the standard pipeline for many professional translators and CAT tools. Translation Technology (TT) has the objective of speeding up and easing the translation process, and more specifically, of assisting human translators. The emerging field of Interpreting Technology seeks to support the work of interpreters too. TT relies heavily on methods developed in the field of Natural Language Processing (NLP) (and Computational linguistics). Typical examples are Computer-Assisted Translation (CAT) tools, electronic dictionaries, concordancers, spell-checkers, terminological databases, terminology extraction tools, translation memories, partial machine translation of template documents, speech recognition systems for automatic subtitling, to name just a few. However, quite often these tools do not address the actual needs of translation and interpreting professionals. In turn, the NLP and MT make use of the knowledge and expertise of professional translators and interpreters in order to build and improve models for automatic translation – e.g. by using parallel aligned human translations and speech interpretation corpora for machine learning, human evaluation of machine translation outputs and human annotations. Most of the existing conferences are either focused too much on the automatic side of translation or concentrate largely on translators’ and interpreters’ professions. HiT-IT seeks to fill in this gap by allowing the discussion, the scientific comparison, and the mutual enrichment of professionals from both fields. HiT-IT 2023 addresses the development of translation tools and the experience translators and interpreters have with these tools as well as the development of machine translation engines, incorporating human (translators and interpreters’) expertise. The conference also offers a discussion forum and publishing opportunity for professionals from the human translation and interpreting fields (e.g. translators including subtitlers, interpreters, respeakers, researchers in translation and interpreting studies) and for researchers and developers working on translation and interpreting technology and machine translation. The idea behind this conference attendees to hear the other side’s position and to voice their opinions on how to make translation technologies closer to what would be accepted by large audiences, by incorporating human expertise into them. We expect contributions to the following topics: TOPICS We invite papers on the following four main themes, however submissions on related themes/topics will also be considered. Both theoretical ideas and practical applications are welcome. Position papers promoting new ideas, challenging the current status of the fields and proposing how to take them forward are also encouraged. User needs: * analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology * user requirements for interpreting and translation tools * incorporating human knowledge into translation and interpreting technology * what existing translators’ (including subtitlers’) and interpreters’ tools do not offer * user requirements for electronic resources for translators and interpreters * translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed Existing methods and resources * latest developments in translation and interpreting technology * electronic resources for translators and interpreters * annotation of corpora for translation and interpreting technology * crowdsourcing techniques for creating resources for translation and interpreting * latest advances in pre-editing and post-editing of machine translation * human-informed (semi-)automatic generation of interlingual subtitles * technology for subtitling Evaluation * (human) evaluation of translation and interpreting technology * crowdsourcing techniques for evaluating translation and interpreting * evaluation of discourse and other linguistic phenomena in (machine) translation and interpreting * evaluation of existing resources for translators and interpreters * human evaluation of neural machine translation Other * position papers discussing how machine translation should be improved to incorporate translators’/interpreters’ expertise * translation and interpreting technologies’ impact on the market * comparison between human and machine translation * changes in the translators and interpreters’ professions in the new technology era especially as a result of the latest developments in Neural Machine Translation Besides the above topics, submissions from industry and practitioners could discuss: distinctive work experience, ongoing practical work, in-house procedures or software, in-house processing pipelines, technology needs, managing a translation (technology) company, interpreters in the technology era, IP issues or any topic related to their professional activities in the field of (technology for) translation and interpreting, etc. SUBMISSIONS User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages (without references). Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required): * (academic) full papers – describing original completed research. Allowed paper length: maximum 8 pages (without references). * (academic) work-in-progress papers – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 6 pages (without references). * (academic) demo papers – describing working systems. Allowed paper length: maximum 4 pages (without references). In addition to the papers, the authors will be expected to demonstrate the systems at the conference. Organisation HiT-IT is organised by the University of Wolverhampton, the University of Surrey (United Kingdom), the University of Malaga (Spain), and the University of Naples L ’Orientale (Italy), and the Association of Computational Linguistics (Bulgaria). Conference Chairs Gloria Corpas Pastor (University of Malaga), Ruslan Mitkov (University of Wolverhampton), Johanna Monti (University of Naples L’Orientale), Constantin Orasan (University of Surrey) Venue The conference will take place at the Palazzo del Mediterraneo, University of Naples, https://www.unior.it/ateneo/253/1/palazzo-del-mediterraneo.html Further information Further information and updates will be made available on the conference website http://hit-it-conference.org/. The Organising Committee can be reached by email on 2023(a)hit-it-conference.org<mailto:2023@hit-it-conference.org>.

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CfP: Third Conference on Computational Humanities Research Dec 12-14, 2022
by Melvin Wevers 08 Aug '22

08 Aug '22

In the arts and humanities, the use of computational, statistical, and mathematical approaches has considerably increased in recent years. This research is characterized by the use of formal methods and the construction of explicit, computational models. This includes quantitative, statistical approaches, but also more generally computational methods for processing and analyzing data, as well as theoretical reflections on these approaches. Despite the undeniable growth of this research area, many scholars still struggle to find suitable research-oriented venues to present and publish computational work that does not lose sight of traditional modes of inquiry in the arts and humanities. This is the scholarly niche that the CHR conference aims to fill. More precisely, the conference aims at 1. Building a community of scholars working on humanities research questions relying on a wide range of computational and quantitative approaches to humanities data in all its forms. We consider this community to be complementary to the digital humanities landscape. 2. Promoting good practices through sharing “research stories”. Such good practices may include, for instance, the publication of code and data in order to support transparency and replication of studies; pre-registering research design to present theoretical justification, hypotheses, and proposed statistical analysis; or a redesign of the reviewing process for interdisciplinary studies that rely on computational approaches to answer questions relevant to the humanities. Topics of interest We invite original research papers from a wide range of topics, including -- but not limited to -- the following: - Applications of statistical methods (machine learning) to process, enrich and analyse humanities and cultural heritage data; - Hypothesis-driven humanities research; - Development of empirical methods for humanities research; - Modeling bias, uncertainty, and conflicting interpretation in the humanities; - Evaluation methods and development of standards; - Statistical evaluation of categorization / periodization; - Explanatory models for humanities research; - Theories for quantitative methods and computational humanities approaches; - Translation and transfer of methods from other disciplines, approaches to bridge humanistic and statistical interpretations. To gain further insight into paper topics, please also refer to the proceedings of CHR2020<http://ceur-ws.org/Vol-2723/> and CHR2021<http://ceur-ws.org/Vol-2989/>. Venue The 2022 edition of the Computational Humanities Research conference will be hosted by the University of Antwerp, Belgium. The conference will be a hybrid event with an option to attend in person at the beautiful Monastery of the Grauwzusters<https://www.uantwerpen.be/en/about-uantwerp/campuses/catering-conventionhal…> in Antwerp, virtually, or a combination of the two. More details will follow soon. Important dates - Submission deadline: September 2, 2022 - Notification to authors: October 18, 2022 - Final papers ready: November 1, 2022 - Conference: December 12 - December 14, 2022 Submission types Long Papers: up to 5000 words (ca. 10 pages, references, abstract and tables/illustrations excluded). Long papers report on completed, original and unpublished results. Brevity of argument is preferred. We welcome the use of appendices or other supplementary information. Short Papers: up to 3000 words (ca. 6 pages references, abstract and tables/illustrations excluded). Short papers report on focussed contributions, and may present work in progress. Posters: For poster presentations we ask you to submit an abstract describing your work in about 750 words (references excluded). Posters are well suited to present new or early stage research, for a corpus or database description, or for detailed technical explanations and clarifications. Perhaps needless to say given the R in CHR, but posters must also describe actual research. Posters will not be published in the proceedings, but they will be added to the website of CHR. Overleaf has a word count functionality, or you can use the TexCount<https://app.uio.no/ifi/texcount/> application. Submission instructions and review process Submissions should be written in English and must be formatted according to the CHR latex template<https://github.com/cohure/CHR2022-website/raw/main/data/chr2022_latex_templ…> (see instructions on the forum to get you started here<https://discourse.computational-humanities-research.org/t/chr-latex-instruc…>.) Submissions are to be submitted anonymously. All submissions will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the Programme Chairs. Papers and posters should be submitted as PDF documents via the Easychair<https://easychair.org/conferences/?conf=chr2022> conference management system. At least one author of each accepted submission must register to the conference and present the paper or poster. Accepted papers will be submitted for publication online via the CEUR-WS<http://ceur-ws.org/> Proceedings publication service. Instructions for paper anonymisation Any information which might help identify authors should be anonymized. To this end, please: 1. do not include authors' names and affiliations; 2. use placeholders for code and data repositories, e.g. https://anonymous.4open.science/, https://zenodo.org/record/xxxxx; 3. do not mention self-references in a way that can reveal the author's identity, e.g. do not use "We previously demonstrated (Smith, 2002)" but "Smith (2022) previously demonstrated"; 4. leave acknowledgements blank. Anonymity period The anonymity period runs until the notification of acceptance (October 18, 2022). Preprints can be published after this date. Questions? Contact the organizers: info(a)computational-humanities-research.org<mailto:info@computational-humanities-research.org> or drop us a line on the discourse forum<https://discourse.computational-humanities-research.org>.

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Call for Shared Task Participation - HASOC-2022
by Dola Mullage, Damith P. 08 Aug '22

08 Aug '22

14th meeting of Forum for Information Retrieval Evaluation HASOC-2022 Shared task on HATE AND OFFENSIVE CONTENT IDENTIFICATION FIRE-22 9th to 13th Dec 2022 in a Hybrid mode at Kolkata, India Call for Shared Task Participation https://hasocfire.github.io<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> Task description: This task aims to study the various forms of problematic content, such as aggressiveness, hate, offensive, and abusive content in conversational dialogue (with context) on online platforms, such as Twitter. Systems should use the context of a conversation in order to identify problematic content. Task 1: ICHCL contextual binary classification (Hinglish and German) This task focused on the binary classification (Subtask-1) of such conversational tweets with tree-structured data into: (NOT) Non-Hate-Offensive - This tweet, comment, or reply does not contain any Hate speech, or profane, offensive content. (HOF) Hate and Offensive - This tweet, comment, or reply contains Hate, offensive, and profane content in itself or supports hate expressed in the parent tweet. The data set will be offered in Code Mixed Hindi English as well as in German. Task 2: ICHCL contextual multiclass classification Furthermore, for Hinglish (Code Mixed Hindi English), we're introducing a multiclass task that further divides the HOF tweets into 2 subclasses so this task will contain 3 labels: (SHOF) Standalone Hate - This tweet, comment, or reply contains Hate, offensive, and profane content in itself. (CHOF) Contextual Hate - Comment or reply is supporting the hate, offence and profanity expressed by its parent. This includes affirming the hate with positive sentiment and having apparent hate. (NOT) Non-Hate-Offensive - This tweet, comment, or reply does not contain any Hate speech, or profane, offensive content. For more information on task-1 and 2 please visit: https://hasocfire.github.io/hasoc/2022/ichcl.html<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> Task 3: Offensive Language Identification in Marathi This task aims to evaluate the hierarchical modelling of offensive language identification in Marathi. The task has three subtasks. Subtask-1: Offensive Language Detection In this subtask, the goal is to discriminate between offensive and non-offensive posts. Offensive posts include insults, threats, and posts containing any form of untargeted profanity. Each instance is assigned one of the following two labels: OFF - Posts containing any form of non-acceptable language (profanity) or a targeted offence, which can be veiled or direct. NOT - Posts that do not contain offence or profanity. Subtask-2: Categorisation of Offensive Language In subtask B, the goal is to predict the type of offence. Only posts labelled as Offensive (OFF) in subtask A are included in subtask B. The two categories in subtask B are the following: Targeted Insult (TIN): Posts containing an insult/threat to an individual, group, or others. Untargeted (UNT): Posts containing non-targeted profanity and swearing. Subtask-3: Offense Target Identification Subtask C focuses on the target of offences. Only posts that are either insults or threats (TIN) are considered in this third layer of annotation. The three labels in subtask C are the following: Individual (IND): Posts targeting an individual. Group (GRP): The target of these offensive posts is a group of people considered to a unity due to the same ethnicity, gender or sexual orientation, political affiliation, religious belief, or other common characteristics. Other (OTH): The target of these offensive posts does not belong to any of the previous two categories. Timeline: 5th June Task Announcement, Data of HASOC 2019,20,21 Available 1st Aug Training Data Release 1st Sept Test Data Release and Run Submission Starts 3rd Sept Registration Deadline 8th Sept Deadline for run submission 10nd Sept Result Declaration 30th Sept Paper Submission Deadline 10th Oct Review Distribution 20th Oct Revised system description paper submission 9th-13 Dec FIRE takes place in Hybrid mode Organizers: Thomas Mandl - University of Hildesheim, Germany Sandip Modha - LDRP-ITR, Gandhinagar, India Prasenjit majumder - DA-IICT, Gandhinagar, India Shrey Satapara - Indian Institute of Technology, Hyderabad, India Hiren Madhu - Indian Institute of Science, Banglore, India Tharindu Ranasinghe - University of Wolverhampton, UK Marcos Zampieri - Rochester Institute of Technology, USA Kai North - Rochester Institute of Technology, USA Damith Premasiri - University of Wolverhampton, UK For more information, please visit: https://hasocfire.github.io/hasoc/2022/index.html<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> For participation please visit: https://hasocfire.github.io/hasoc/2022/registration.html<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> For any clarification please contact us at hasocfire(a)gmail.com<mailto:hasocfire@gmail.com> Looking forward to your participation

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Postdoc/PhD position in XAI for medical NLP
by Damien Sileo 08 Aug '22

08 Aug '22

We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven.. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine). The project focuses on deep learning models for text classification in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity. The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations). We will also leverage larger-scale data (without annotated explanation) in order to improve explanation generation. One way would be to use feature importance techniques (Integrated gradients, LIME or preferably search-based methods) applied to models trained to perform medical decisions, to guide explanation generation. KU Leuven is declared the most innovative university in Europe by Reuters four years in a row and is ranked 42th on the Times Higher Education World University Ranking (2022). Offer * We offer a research position for 2 years starting September 1 or the latest October 1, 2022. * We offer a competitive wage and yearly budget to attend conferences. * We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching. * Access to our deep learning cluster which contains the latest GPU hardware. If interested,please apply the latest by August 20h, 2022. Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found. Responsibilities * Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues. * Collaborate with the other European partners of the ANTIDOTE project. * Carry out some (light) teaching duties if interested, which may include lectures, the organization of student seminars, and the supervision of bachelor and master theses. Profile * You have (or are near completion of) a master or PhD in Computer Science . * Given that we have to fill in the research position very soon, we will only consider applicants who can work at KU Leuven, Belgium without visa. * You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus. * You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing. * You are good at collaborating with others. * You work proactively and independently and have good communication skills. * You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian). * You are highly motivated, ambitious and result-oriented. For more information please contact Dr Damien Sileo mail: damien.sileo(a)kuleuven.be or Prof. Dr. Marie-Francine Moens, mail: sien.moens(a)kuleuven.be with [XAI22] in your e-mail subject.

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Head of Internal Communications and Engagement, University of LEEDS, UK
by Eric Atwell 08 Aug '22

08 Aug '22

Just a couple of days left to apply for our Head of Internal Communications and Engagement role at the University of Leeds<https://www.linkedin.com/company/university-of-leeds/>. We are looking for a highly experienced and self-motivated internal communications leader with a proven ability to build, manage and motivate teams and establish productive stakeholder relationships, and to create and successfully implement audience content, channel and audience strategies to engage and build internal communities, in a complex environment. If this sounds like you, then please check out the details using the links below. https://jobs.leeds.ac.uk/Vacancy.aspx?ref=CSCOM1107 https://www.linkedin.com/posts/markdorey_job-opportunity-at-university-of-l…<https://www.linkedin.com/posts/markdorey_job-opportunity-at-university-of-l…> also see Jeff Allen, "Education - a commodity or a necessity" https://www.youtube.com/watch?v=wL5GIjktivQ&ab_channel=jeffallenfrance

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Free online course (MOOC) in CL and special offer
by Brezina, Vaclav 08 Aug '22

08 Aug '22

Dear all, Lancaster University offers a free online course (MOOC) in Corpus linguistics: ‘Corpus Linguistics: Method, Analysis, Interpretation’. The course starts on 19 September 2022 and runs for eight weeks. If you are interested, you can register now for free at https://www.futurelearn.com/courses/corpus-linguistics by clicking on ‘Join today’. **Special offer - £500 off Lancaster tuition fees** If you decide to study the free MOOC, or if you actively participated and completed the course within the last three years, you are eligible to apply for our MOOC entry route to Lancaster University’s MA (2 years, online) or Postgraduate Certificate (1 year, online). You can still apply for the 2022 start. By doing so, you will not take the first core module of the programme, Fundamentals of Corpus Linguistics, but will be expected to submit two written assessments, in January of year 1, using the knowledge you developed through the MOOC. This entry route has a fee discount of £500, which will be deducted from the first year of your fees. MA https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/corpus-… PG Certificate https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/corpus-… Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:983e86f0-0557-4989-92e1-32caa1d1ba1c]@vaclavbrezina [cid:271e209b-19f4-4569-93c2-3cc500082e84]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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Call for Submissions – EMNLP Workshop on NLP for Positive Impact
by Joel Tetreault 08 Aug '22

08 Aug '22

(apologies for cross-posting) Workshop website: https://sites.google.com/view/nlp4positiveimpact Submission website: https://softconf.com/emnlp2022/NLPforPositiveImpact2022/ Important Dates - (Submission channel 1) Latest submission deadline to Softconf: Aug 15, 2022 - (Submission channel 2; alternative) Latest ARR commitment deadline: Oct 2, 2022 (As the ARR site explains, authors can commit to venues when they have their reviews and meta-reviews. By Oct 2, you need to "commit" your ARR paper through Softconf, as in EMNLP 2022). - Notification of Acceptance: Oct 9, 2022 - Camera-Ready Papers Due: Oct 16, 2022 - Workshop Date: Dec 7, 2022 All deadlines are 11:59 PM (Anywhere on Earth <https://www.timeanddate.com/time/zones/aoe>) Summary The widespread and indispensable use of language-oriented AI systems presents new opportunities to have a positive social impact. NLP technologies are starting to mature to the point where they could have an even broader impact, supporting the UN sustainability goals <https://sdgs.un.org/goals> by helping to address big problems such as poverty, hunger, healthcare, education, inequality, COVID-19 and climate change. Our workshop aims to promote innovative NLP research that will positively impact society, focusing on responsible methods and new applications. We will encourage submissions from areas including (but not limited to): - Work that grounds the impact of NLP: Beyond developing a better-performing NLP model, can we make a step further to connect the model to actual social impact? Example directions include: case studies of real-world deployments; or improving the deployment and maintenance of NLP models in practice. In addition to commonly recognized NLP for social good areas such as NLP for healthcare, mental well-being, and many others, we also call for work on neglected areas such as NLP for poverty, hunger, energy, climate change, among others. We also highly value work that builds on interdisciplinary expertise, and encourage submissions of case studies or worked examples that seek to expand the social impact of NLP through collaboration with other fields (e.g., philanthropy, social science, political science, economics, HCI). - Work that guides researchers in NLP for Social Good: Can we provide insights and guidance to the field? Example directions include: measures of social impact; automatic identification of various social needs, their corresponding sizes and demographics of people affected; position papers to propose promising new tasks or directions that the field should pursue; literature review of a subfield; philosophical discussions of what social good is; approaches to interdisciplinary collaboration; user study designs, user surveys; ethical considerations, and other related topics. Note that we want submissions to our workshop to have some distinctive features of social good implications, beyond a general paper on NLP. We will require each submission to discuss the ethical and societal implications of their work, and encourage a discussion of what "positive impact" means in the work. Organizers - Zhijing Jin (Max Planck Institute & ETH Zurich) - Laura Biester (University of Michigan) - Dora Demszky (Stanford University) - Mrinmaya Sachan (ETH Zurich) - Joel Tetreault (Dataminr, Inc.) - Steven Wilson (Oakland University) - Lu Xiao (Syracuse University) - Jieyu Zhao (University of Maryland, College Park) Contact Email - nlp4pi.workshop(a)gmail.com

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PhD Studentship in Multilingual Multimodal Information Extraction at ADAPT Centre, MTU, Ireland
by Mohammed Hasanuzzaman 07 Aug '22

07 Aug '22

Dear List Members, ADAPT Centre (https://www.adaptcentre.ie/), Munster Technological University (MTU), Ireland and Bluetensor S.r.l, Italy ( https://bluetensor.ai/) have formed a partnership to fully fund a 4-year PhD position in the area of Artificial Intelligence. The general area for the PhD focus will be *Multilingual Multimodal Information Extraction*. The successful candidate will work closely with a team of mentors from academia and industry. *Why ADAPT Centre?* Contribute to the ADAPT research agenda that pioneers and combines research in AI driven technologies: Natural Language Processing, Video/Text/Image/Speech processing, digital engagement & HCI, semantic modeling, personalisation, privacy & data governance. Work with our interdisciplinary team of leading experts from the complementary fields of, Social Sciences, Communications, Commerce/Fintech, Ethics, Law, Health, Environment and Sustainability. Leverage our success. ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards. ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications and nearly 100 PhD students have been trained. As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically we offer: Opportunity to build your profile at international conferences and global events. A solid career pathway through formalised training & development, expert one-on-one supervision and exposure to top specialists. A Fully funded, 4 year PhD postgraduate studentship which includes a tax-free stipend of approx. €18,500 per year for up to four years including EU tuition fees, research and equipment costs and all costs associated with training related covered. *Why Bluetensor?* Combine research with field experience. Every day we apply the latest technological innovations by selecting those that are best suited to the business, developing customised solutions to solve our customers' concrete problems. Compare yourself with different sectors. See how your research is indispensable in different businesses. BlueTensor develops artificial intelligence projects in industry, education, law, media, etc. participating in public and private tenders. Exploit synergies. Technologies become even more powerful when combined with others. BlueTensor has expertise in deep learning, machine learning, predictive analysis, computer vision and natural language processing. In each project we know whether and how to combine algorithms in the best possible way. You will be able to deal with our highly skilled team of data scientists, front-end developers, full-stack developers and AI architects. *Minimum qualifications* Minimum 2.1 honours undergraduate degree in either Computer Science, Computer Engineering, Electrical and Electronic Engineering or related disciplines with strong programming skills. - Expertise and interest in Machine Learning/Natural Language Processing/Data Mining - - Previous scientific publication experience preferred. - - Excellent written and verbal communication and interpersonal skills *Application Process* Interested candidates can send an application with the following documents directly to Mohammed Hasanuzzaman (mohammed.hasanuzzaman(a)adaptcentre.ie) - Detailed curriculum vitae, including – if applicable – relevant publications; - - Transcripts of degrees, - - The name and email contacts of two academic referees, - - A cover letter/letter of introduction (max 2000 words). In the letter, applicants should include the following details: - - An explanation of your interest in the research to be conducted and why you believe they are suitable for the position. - - Details of your final year undergraduate project (if applicable) - - Details of your MSc project (if applicable) - - Details of any relevant modules previously taken, at undergraduate and/or Master level. - - Details of any relevant work experience (if applicable). *Diversity* ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis we encourage and welcome talented people from all backgrounds to join ADAPT. *About the ADAPT Centre* ADAPT is the world-leading SFI research centre for AI Driven Digital Content Technology hosted by Trinity College Dublin. ADAPT’s partner institutions include Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Athlone Institute of Technology, and the National University of Ireland Galway. ADAPT's research vision is to pioneer new forms of proactive, scalable, and integrated AI-driven Digital Content Technology that empower individuals and society to engage in digital experiences with control, inclusion, and accountability with the long term goal of a balanced digital society by 2030. ADAPT is pioneering new Human Centric AI techniques and technologies including personalisation, natural language processing, data analytics, intelligent machine translation, human-computer interaction, as well as setting the standards for data governance, privacy and ethics for digital content. *Our Research Vision* Governments and civil society are starting to recognise the need for urgent and concerted action to address the societal impact of the accelerating pace of digital content technologies and the AI techniques that underpin them. ADAPT provides an ambitious, ground-breaking, integrated research programme that assembles three interlocking Strands that together are capable of addressing this challenge. Each of these complementary and reinforcing research Strands takes one of the different perspectives on the provision of personalised, immersive, multimodal digital engagement, i.e. the individual’s experience and control of the engagement, the algorithms underlying digital content processing, and the balanced governance by enterprise and societal stakeholders. *About Bluetensor* Bluetensor was founded in Trento (Italy) in 2018 and today its team consists of 13 resources. By combining Project Management with the Agile method, Bluetensor meets clients' needs by developing solutions that have an impact on business time, costs and processes. The projects carried out over the past three years have earned Buetensor an excellent international reputation. One of its reasoning systems, for example, is being beta tested by teams of experts on five continents. Moreover, thanks to its strong expertise and challenging projects, Bletensor has created two new start-ups to apply artificial intelligence in particular sectors. Bluetensor’s founders believe in the importance of scientific research. That's why Bluetensor is sponsor of the Doctorate in Industrial Innovation at the University of Trento and partner of various initiatives with Italian and foreign universities. BlueTensor’s vision: “Promote a smarter way of working and a better lifestyle by empowering people and organizations through Artificial Intelligence.” Best regards, Mohammed ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ *Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University <https://www.mtu.ie/> * *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *Member, Lero, the SFI Research Centre for Software <https://lero.ie/>**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor/EBM:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, Computer Speech and Language* Dept. of CS Munster Technological University Bishopstown campus Cork e: mohammed.hasanuzzaman(a)adaptcentre.ie <email(a)adaptcentre.ie>/ Ireland https://mohammedhasanuzzaman.github.io/ [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 07/08/22, 20:45:43

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by Aleksandra Wesolowska 07 Aug '22

07 Aug '22

Leave Sent from my iPhone > On 5 Aug 2022, at 14:00, corpora-request(a)list.elra.info wrote: > > Send Corpora mailing list submissions to > corpora(a)list.elra.info > > To subscribe or unsubscribe via email, send a message with subject or > body 'help' to > corpora-request(a)list.elra.info > > You can reach the person managing the list at > corpora-owner(a)list.elra.info > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Corpora digest..." > > Today's Topics: > > 1. TempoWiC shared task at EMNLP EvoNLP Workshop: Evaluation starts (deadline: September 12) > (Jose Camacho Collados) > 2. PhD Position in Speech Translation at Fondazione Bruno Kessler > (Matteo Negri) > 3. [QPP++] 2nd CfP Query Performance Prediction and Its Evaluation in New Tasks @ CIKM 2022 > (Guglielmo Faggioli) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Thu, 4 Aug 2022 16:04:09 +0000 > From: Jose Camacho Collados <CamachoColladosJ(a)cardiff.ac.uk> > Subject: [Corpora-List] TempoWiC shared task at EMNLP EvoNLP Workshop: > Evaluation starts (deadline: September 12) > To: "corpora(a)list.elra.info" <corpora(a)list.elra.info> > Message-ID: <LO2P265MB5789301B4C033C1A12DC3F218E9F9(a)LO2P265MB5789.GBR > P265.PROD.OUTLOOK.COM> > Content-Type: multipart/alternative; boundary="_000_LO2P265MB578930 > 1B4C033C1A12DC3F218E9F9LO2P265MB5789GBRP_" > > ************************************ > > Call for participation: TempoWiC shared task at EvoNLP shared task (co-located with EMNLP) > > > Training and test data available! > > > Shared Task website: https://sites.google.com/view/evonlp/shared-task > > Codalab evaluation page: https://codalab.lisn.upsaclay.fr/competitions/5360 > > > Important dates: > > * 1 August 2022: Test data released and evaluation phase starts > > * 12 September 2022: Evaluation phase ends > > * 16 September 2022: Results released > > * 10 October 2022: System description paper deadline > > ************************************ > > > TempoWiC is the Shared Task for the "EvoNLP: The First Workshop on Ever Evolving NLP" workshop, co-located with EMNLP 2022. For this novel temporal meaning shift task, users are given a pair of sentences (or, in this case, tweets) and a target word (e.g. delta), and the task consists of deciding whether the meaning of the target word is the same or not. Basically, the framing is the same binary classification as the original WiC (Word-in-Context) task but adapted so the temporal aspect is taken into account (tweets in each pair were selected from different time periods). > > > For example, we can observe a meaning shift happening to the word folklore in the following instance, where its meaning represents a recent music album in the second example. > > (1) There's a thunderstorm outside so clearly it's the perfect time to watch videos about folklore monsters. (August 2019) > > (2) Cardigan on folklore is my favorite song. I wish @taylorswift13 would love me (August 2020) > > > > -- > > > Jose Camacho Collados > http://www.josecamachocollados.com<http://www.josecamachocollados.com/> > > -------------- next part -------------- > A message part incompatible with plain text digests has been removed ... > Name: not available > Type: text/html > Size: 6177 bytes > Desc: not available > > ------------------------------ > > Message: 2 > Date: Thu, 4 Aug 2022 22:58:14 +0200 > From: Matteo Negri <negri(a)fbk.eu> > Subject: [Corpora-List] PhD Position in Speech Translation at > Fondazione Bruno Kessler > To: corpora(a)list.elra.info, elsnet-list(a)list.hum.uu.nl, > dbworld(a)cs.wisc.edu, mt-list(a)eamt.org, > LINGUIST(a)listserv.linguistlist.org > Message-ID: > <CAOE0tRuS5pwrcaujkihv=kqW5TBiNOaed=XyVxUu5UQVQ+1R7Q(a)mail.gmail.com> > Content-Type: multipart/alternative; > boundary="0000000000005bab1c05e5709cf4" > > -- > > Apologies for cross-posting. > > -- > > Have you recently completed or expect very soon an MSc or equivalent degree > in computer science, artificial intelligence, computational linguistics, > engineering, or a related area? Are you interested in carrying out research > on Speech Translation during the next few years? Are you excited to spend a > part of your life in a pleasant city in the heart of the Italian Alps? > > WE ARE LOOKING FOR YOU!!! > > The Machine Translation <https://ict.fbk.eu/units/hlt-mt/> (MT) group at > Fondazione Bruno Kessler (Trento, Italy) in conjunction with the ICT > International Doctorate School of the University of Trento > <https://iecs.unitn.it/> is pleased to announce the availability of the > following fully-funded Ph.D. position in Speech Translation. > > TITLE: Application-oriented Speech Translation > > DESCRIPTION: > > The need to translate audio input from one language into text in a target > language has dramatically increased in the last few years with the growth > of audiovisual content freely available on the Web. Current speech > translation (ST) systems are now required to be flexible and robust enough > to operate in different application scenarios. On one side, the industry > calls for key features like real-time processing, domain adaptability, > extended language coverage, and the capability to meet application-specific > constraints. On the other side, society calls for new efforts towards > inclusiveness with respect to specific categories and groups (e.g. > gender-sensitivity, customization to the needs of impaired users). Both > industry and society face the orthogonal challenges posed by the > variability of audio conditions (e.g. background noise, strong speakers’ > accent, overlapping speakers). The objective of this Ph.D. is to make ST > flexible and robust to these and other factors. > > CONTACT: negri(a)fbk.eu > > COMPLETE DETAILS AVAILABLE AT: > https://iecs.unitn.it/education/admission/call-for-application > > > IMPORTANT DATES: > > The deadline for application is September 6, 2022, hrs. 04:00 PM (CEST) > > Potential candidates are strongly invited to contact us in advance for > preliminary interviews. Precedence for interviews will be given to > short-listed candidates that will send us a complete CV via email ( > negri(a)fbk.eu) by August 18, 2022. > > Candidate profile > > The ideal candidate must have recently completed or expect very soon an MSc > or equivalent degree in computer science, artificial intelligence, > computational linguistics, engineering, or a closely related area. In > addition, the applicant should: > > - > > Have interest in Machine and Speech Translation > - > > Have experience in deep learning and machine learning, in general > - > > Have good programming skills in Python and experience in PyTorch > - > > Enjoy working with real-world problems and large data sets > - > > Have good knowledge of written and spoken English > - > > Enjoy working in a closely collaborating team > > Working Environment > > The doctoral student will be employed at the MT group at Fondazione Bruno > Kessler, Trento, Italy. The group (about 10 people including staff and > students) has a long tradition in research on machine and speech > translation and is currently involved in several projects. Former students > are nowadays employed in leading IT companies in the world. > > Benefits > > Fondazione Bruno Kessler offers an attractive benefits package, including a > flexible work week, full reimbursement for conferences and summer schools, > a competitive salary, an excellent team of supervisors and mentors, help > for housing, full health insurance, the possibility of Italian courses, and > sporting facilities. > > Further Information > > For preliminary interviews, and should you need further information about > the position, please contact Matteo Negri (negri(a)fbk.eu). > > Best Regards, > > Matteo Negri > > -- > -- > Le informazioni contenute nella presente comunicazione sono di natura > privata e come tali sono da considerarsi riservate ed indirizzate > esclusivamente ai destinatari indicati e per le finalità strettamente > legate al relativo contenuto. Se avete ricevuto questo messaggio per > errore, vi preghiamo di eliminarlo e di inviare una comunicazione > all’indirizzo e-mail del mittente. > > -- > The information transmitted is > intended only for the person or entity to which it is addressed and may > contain confidential and/or privileged material. If you received this in > error, please contact the sender and delete the material. > -------------- next part -------------- > A message part incompatible with plain text digests has been removed ... > Name: not available > Type: text/html > Size: 18048 bytes > Desc: not available > > ------------------------------ > > Message: 3 > Date: Fri, 5 Aug 2022 10:05:10 +0200 > From: Guglielmo Faggioli <guglielmo.faggioli(a)phd.unipd.it> > Subject: [Corpora-List] [QPP++] 2nd CfP Query Performance Prediction > and Its Evaluation in New Tasks @ CIKM 2022 > To: corpora(a)list.elra.info > Message-ID: > <CAD3vDD-Ts1eGy6Mzq=gjKiwrq6PO=J+58OhJdPyCpiywNNzvxg(a)mail.gmail.com> > Content-Type: multipart/alternative; > boundary="00000000000076a3d705e579ed95" > > Query Performance Prediction (QPP) is currently primarily used for ad-hoc > retrieval tasks. The Information Retrieval (IR) field is reaching new > heights thanks to recent advances in large language models and neural > networks, as well as emerging new ways of searching, such as conversational > search. Such advancements are quickly spreading to adjacent research areas, > including QPP, necessitating a reconsideration of how we perform and > evaluate QPP. > > Important Dates > --------------------- > Submission deadline: September 2, 2022 > Notification of acceptance: September 27, 2022 > Camera ready: October 06, 2022 > Conference days: October 17-20, 2022 > Workshop day: October 21, 2022 > > Call for Papers > ------------------- > This workshop aims at stimulating discussion on three main aspects > concerning the future of QPP: > > What are the emerging QPP challenges posed by new methods and > technologies, including but not limited to dense retrieval, contextualized > embeddings, and conversational search? > How might these new techniques be used to improve the quality of QPP? > Can we claim that the current techniques for evaluating QPP are > effective in all arising scenarios? Can we envision new evaluation > protocols capable of granting generalizability in new domains? > > We plan to foster the discussion via two focus groups led by the workshop's > organizers. > > The first focus group will identify what possibilities the QPP offers > regarding new research models and IR tasks, primary considerations, issues > linked to different aspects of the QPP, and the potentialities provided by > new tools. > > The second focus group will gather the community’s concerns and solutions > with respect to the QPP evaluation, especially for what concerns emerging > domains. > Themes and Topics > > The workshop will focus on the following themes: > Query performance prediction applied to new tasks: > Can existing QPP techniques be exploited, or which new QPP theories and > models need to be devised for new tasks, such as passage-retrieval, Q&A, > and conversational search? > Query performance prediction exploiting new techniques: > How can new technologies, such as contextualized embeddings, large > language models, and neural networks be exploited to improve QPP? > Evaluation of query performance prediction: > How should QPP techniques be evaluated, including best practices, > datasets, and resources, and, in particular, should QPP be evaluated the > same for different IR tasks? > > It is possible to submit three main categories of manuscripts to the > workshop: > Full papers: up to 6 pages. > Short papers: up to 3 pages. > Discussion papers: up to 3 pages. > > All manuscripts are expected to address the workshop's themes as mentioned > above. > Full and short papers should contain innovative ideas and their > experimental evaluation. We are also interested in works containing > (methodologically sound) preliminary results and incremental endeavours. > Discussion papers should include work with or without preliminary results, > position papers, and papers describing failures. Such papers should foster > the discussion and thus are not required to contain full-fledged results. > In this sense, the experimental evaluation of the submitted discussion > paper is appreciated but not required. We are also interested in receiving > contributions regarding (methodologically sound) failed experiments; since > the workshop will focus on new research directions, we consider it > necessary also to discuss the reasons and causes of failures. > Each manuscript will be peer-reviewed by at least two program committee > members > Accepted papers will be published online as a volume of the CEUR-WS > proceeding series. > > Website > -------------- > qpp2022.dei.unipd.it > > Organizers > -------------- > Guglielmo Faggioli, University of Padova, Italy, faggioli(a)dei.unipd.it > <http://faggiolidei.unipd.it/> > Nicola Ferro, University of Padova, Italy, ferro(a)unipd.it > <http://ferrounipd.it/> > Josiane Mothe, Université de Toulouse, IRIT, France, josiane.mothe(a)irit.fr > <http://josiane.motheirit.fr/> > Fiana Raiber, Yahoo Research, Israel, fiana(a)yahooinc.com > <http://fianayahooinc.com/> > > ---------- > Guglielmo Faggioli > Dipartimento di Ingegneria Informatica, University of Padua > Via Gradenigo 6/b, 35138, Padua, Italy > -------------- next part -------------- > A message part incompatible with plain text digests has been removed ... > Name: not available > Type: text/html > Size: 4759 bytes > Desc: not available > > ------------------------------ > > Subject: Digest Footer > > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info > To unsubscribe send an email to corpora-leave(a)list.elra.info > > > ------------------------------ > > End of Corpora Digest, Vol 212, Issue 1 > ***************************************

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ICNLSP 2022, 5th International Conference on Natural Language and Speech Processing, 16, 17 December2022
by Mourad Abbas 05 Aug '22

05 Aug '22

*ICNLSP 2022: 3rd call for papers* Dear all, This is the 3rd call for papers for ICNLSP 2022 <https://www.icnlsp.org/2022welcome/>, the 5*th* edition of the International Conference on Natural Language and Speech Processing, hosted by DataScientia (University of Trento) <http://datascientia.disi.unitn.it/events/> for the third time, will be held online, on 16-17 December 2022. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2022 <https://www.icnlsp.org/2022welcome/> but not limited to: Signal processing, acoustic modeling Architecture of speech recognition system Deep learning for speech recognition Analysis of speech Paralinguistics in Speech and Language Pathological speech and language Speech coding Speech comprehension Summarization Speech Translation Speech synthesis Speaker and language identification Phonetics, phonology and prosody Cognition and natural language processing Text categorization Sentiment analysis and opinion mining Computational Social Web Arabic dialects processing Under-resourced languages: tools and corpora New language models Arabic OCR Lexical semantics and knowledge representation Requirements engineering and NLP NLP tools for software requirements and engineering Knowledge fundamentals Knowledge management systems Information extraction Data mining and information retrieval Machine translation NLP for Arabic heritage documents *Important dates* *Submission deadline*: *30 August 2022* *Notification of acceptance*: *31 October 2022* *Camera-ready paper due*: *20 November 2022* *Conference dates*: *16, 17 Decemberber 2022* *Publication* 1- All accepted papers will be published in ACL Anthology, and indexed in DBLP. 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed in Scopus. *Keynote speakers* 1. Eric Laporte, Gustave Eiffel University, France. 2. Jan Niehues, University of Maastricht, Netherlands. 3. Ahmed Ali, QCRI, Qatar. *Workshop: NSURL 2022* The workshop on NLP Solutions for Under Resourced Languages NSURL <http://nsurl.org> will be held with ICNLSP 2022 <https://www.icnlsp.org/2022welcome/>. The workshop aim to be a forum for solving NLP tasks concerning Arabic and its dialects and also under-resourced languages as African, Persian, etc. We look forward to welcome you to ICNLSP 2022 <https://www.icnlsp.org/2022welcome/> that will be an opportunity to get acquainted with the latest research in the field of natural language and speech processing, hoping that it will be successful with your active participation. *Contact* icnlsp2022(a)easychair.org

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