- Corpora - ELRA lists

North African in ML affinity group workshop at NeurIPS 2022 (Deadline extended)
by Nedjma OUSIDHOUM 21 Sep '22

21 Sep '22

Dear colleagues, We are pleased to invite you to the North Africans in ML affinity group workshop <https://sites.google.com/view/northafricansinml/cfp>, which will take place at NeurIPS 2022. The workshop will include talks, poster sessions, as well as a shared task relating to ML in North Africa. We will have both archival and non-archival tracks and invited talks. Junior researchers and students interested in NLP from North African institutions and beyond (academia and industry) are welcome to present their new work as well as completed or ongoing research projects or ideas. All nationalities are welcome! Authors of non-archival papers can choose to have their abstracts, bios, and posters posted on our website. NeurIPS D&I will provide some travel grants and registration fee waivers to the participants. Please note that all participants are encouraged to apply for NeurIPS registration fee waivers. We welcome submissions related to any topic of Machine Learning and NLP. You can visit our website: https://sites.google.com/view/northafricansinml/. *Important dates* Oct 14th: Extended abstract (2 pages), short (4 pages) and long (8 pages) paper submission deadline Nov 1st: Notification of acceptance Nov 15th: Camera ready submission deadline Nov 15th: Poster submission deadline Dec 5th: Virtual Workshop Shared Task tentative schedule Aug 15th: Registration opens (https://forms.gle/zdZgkNZovFwm9BEX7) Sept 25th: Releasing the training data Oct 10th: Releasing the dev data Nov 8th: Releasing the test data Nov 10th: System submission deadline Nov 15th: System description paper deadline Nov 15th: Poster submission deadline Dec 5th: Virtual Workshop Best regards, The organisers.

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Faculty recruiting at several universities in Australia
by Jonathan K Kummerfeld 21 Sep '22

21 Sep '22

Several top Australian universities are recruiting new faculty. All are tenure-track research positions, though the position titles in Australia are slightly different: University of Sydney - https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown… University of Melbourne - https://jobs.unimelb.edu.au/caw/en/job/909798/lecturer-senior-lecturer-in-m… - https://jobs.unimelb.edu.au/caw/en/job/909837/senior-lecturer-associate-pro… Australian National University - https://jobs.anu.edu.au/en/job/540228 All three are excellent institutions. If you have questions about Sydney (where I just started), please reach out! Jonathan Kummerfeld -- Senior Lecturer (ie. research tenure-track Asst. Prof.) University of Sydney e: j.k.kummerfeld(a)gmail.com w: www.jkk.name

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PhD Position in Document-Level Machine Translation Evaluation (Dublin City University)
by Sheila Castilho M de Sousa 20 Sep '22

20 Sep '22

We are please to announce the following *PhD Position *in the are of Machine Translation Evaluation at the ADAPT Centre and the School of Applied Language and Intercultural Studies in Dublin City University, Ireland. *Minimum qualifications:* - Bachelors in Translation, Natural Language Processing or related fields with knowledge of Machine Translation evaluation. - English language requirements for non-native speakers of English is available here, under Post Graduate>>Faculty of Humanities and Social Science: https://www.dcu.ie/registry/english-language-requirements-non-native-speake… *Preferred qualifications:* - Masters in Translation Technologies, Machine Translation, Natural Language Processing or related fields. - Experience with machine translation evaluation. *Application Process:* As part of your application you will be required to submit: - A letter of introduction (max 1500 words). In the letter, applicants should include the following details: - An explanation of your interest in this research, highlighting why you think you are a suitable candidate. - Highlight any experience you have with machine translation evaluation, or any other relevant experience e.g., working as a translator/linguist, MT developer, or any relevant projects in the area. - Details of your final year undergraduate project (if applicable), and or 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) - Detailed CV, including – if applicable – relevant publications; - Transcripts of degrees *Application deadline:* 14th of October 2022 *Enquiries*: sheila.castilho(a)dcu.ie More details and application form can be found here: https://www.adaptcentre.ie/careers/phd-in-document-level-human-evaluation-o… *----* *Sheila Castilho* Ollamh Cúnta | Scoil na dTeangacha Feidhmeacha & Staidéar Idirchultúrtha | Ollscoil Chathair Bhaile Átha Cliath Assistant Professor | School of Applied Language and Intercultural Studies | Dublin City University ADAPT Centre - Tel: + 353 1 700 5832 -- __ Séanadh Ríomhphoist/_ Email Disclaimer__ ** Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://www.dcu.ie/iss/seanadh-riomhphoist.shtml> <https://www4.dcu.ie/iss/seanadh-riomhphoist.shtml>* _ This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://www.dcu.ie/iss/email-disclaimer.shtml> _ *_

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Full Professor position in Fundamentals of Natural Language Processing at University of Bamberg, Deadline 19 October
by Stefan Ultes 20 Sep '22

20 Sep '22

We would like to draw your attention to the open call for a full-time academic position as Full Professor (m/f/d) of Fundamentals of Natural Language Processing (W3 salary level) at the University of Bamberg, Germany. Application deadline is 19 October 2022. For more details and how to apply, please refer to https://www.uni-bamberg.de/en/abt-personal/stellenausschreibung/professorsh… or directly to https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St… Queries regarding the position as such can be addressed to Prof. Dr. Andreas Henrich (andreas.henrich(a)uni-bamberg.de). -- Prof. Dr.-Ing. Stefan Ultes Chair of Language Generation and Dialogue Systems University of Bamberg Bamberg, Germany stefan.ultes(a)uni-bamberg.de

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Research Associate – Natural Language Processing @ UCREL, Lancaster
by Rayson, Paul 20 Sep '22

20 Sep '22

Research Associate – Natural Language Processing School of Computing and Communications Salary: Grade 6 £29,619 to £34,308 Closing Date: 30 September 2022 Interview Date: 17 October 2022 Reference: 0965-22 https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0965-22 The School of Computing and Communications (SCC) within Lancaster University’s Faculty of Science and Technology, is seeking to appoint a Research Associate (RA) to work on a new large five year long (nine million euros in total across sixteen partners) EU Horizon Project: Design-based Data-driven Decision-support Tools: Producing Improved Cancer Outcomes Through User-centered Research (4D PICTURE Project). Treatment decision-making by patients with cancer, their significant others, and clinicians can be complex, in particular when a choice has to be made between different treatment regimens with different risk profiles, potential outcomes, and effects on survival and quality of life. Decision making is often complicated through inefficient care paths, including logistic problems and lack of overview of the entire treatment trajectory including unclear responsibilities and inconsistency in information provision to patients. Recent research highlights that such inefficient care paths hinder patients with cancer and their significant others in treatment decision-making, leading to high levels of stress, fear, disempowerment, and unwanted dependence on healthcare professionals. Decision-support tools, which are computer-based tools developed to support decision analysis and participatory processes, have the potential to lead to improved access to innovative, high-quality, oncological care, enhanced patient empowerment, better treatment adherence, better health outcomes, and more health equity. The central aim of the 4D PICTURE project is to transform health care delivery decision-making processes in oncology by redesigning patients’ care paths and integrating evidence-based decision-support tools. The care paths will be redesigned to enable effective integration of these tools to facilitate the complexities of decision making with and for cancer patients. To achieve this aim, we will further develop a promising service design methodology to redesign care paths, called MetroMapping. Lancaster University will be leading on a work package to develop a conversation tool (based on our prior work on the metaphor menu, and the Metaphor in End of Life Care (MELC) project) for cancer patients, their significant others, their clinicians and citizens based on text mining analyses of patient experience ‘big’ data and citizen science methods. To that end, we will apply an interdisciplinary approach that combines the strengths of AI-tools (text mining / natural language processing (NLP) techniques), corpus linguistics, and qualitative (narrative) research to efficiently convert the stories of experience of people with cancer and their significant others into usable knowledge about how they experience their care trajectory. Our methodology embeds citizen science, or patient and public involvement (PPI), at its core. Working together with multiple project partners, the SCC RA will contribute to multilingual (English, Dutch, Danish and Spanish) data collection from multiple sources, exploratory data analysis using a variety of corpus-based NLP techniques, mapping patient vocabulary to clinical language, and machine learning tasks to train classifiers on human-labelled data. The RA will be part of an internationally recognised centre of expertise for corpus-based natural language processing (UCREL), and will work directly with Professor Paul Rayson in SCC, Professor Elena Semino (Linguistics) and Professor Sheila Payne (Health and Medicine). For more details, please see the associated job description and person specification for this position. Potential candidates can also make informal enquiries to Professor Paul Rayson (p.rayson(a)lancaster.ac.uk). This is a full-time position expected to start as soon as possible from October 2022, and the RA will join on an indefinite contract, however the role remains contingent on external funding, which for this position ends 30th September 2027. Flexible working arrangements may be possible, and there are possibilities to undertake a PhD on related topics during the project. Lancaster University are committed to family-friendly and flexible working policies on an individual basis. The School is also an Athena Swan Bronze Award holder, driving good employment practice and initiatives to address gender inequalities in Computing higher education and research. We welcome applications from people in all diversity groups. -- Paul Rayson Director of UCREL and Professor of Natural Language Processing Group Lead (SCC Data Science) School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK. Web: http://www.research.lancs.ac.uk/portal/en/people/Paul-Rayson/ Tel: +44 1524 510357 Contact me on Teams<https://teams.microsoft.com/l/chat/0/0?users=p.rayson@lancaster.ac.uk>

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3-year postdoc position in Large-Scale Natural Language Processing at the University of Oslo, Norway
by Andrey Kutuzov 20 Sep '22

20 Sep '22

[with apologies for cross-posting] The Language Technology Group (LTG) at the University of Oslo offers a fully funded postdoctoral fellowship for a duration of 3 years. This position is a part of a new EU Horizon project titled “High-Performance Language Technologies” (HPLT). HPLT is a collaboration between 5 universities (Oslo, Edinburgh, Helsinki, Prague and Turku), 2 high-performance computing centers (Uninett Sigma2 in Norway and Cesnet in the Czech Republic), and one Spanish company (Prompsit) on the development of language and translation models at scale. The project aims at continuous integration of pre-trained language models and data, resulting in free downloadable high-quality models for all official European Union languages and beyond. With a strong focus on multi-linguality, reproducibility, openness and scale, HPLT will allow easy discovery and access to corpora, models and code. We are looking for a postdoctoral fellow interested in processing and maintaining very large troves of natural language data (in particular, significant parts of the Internet Archive). These corpora and datasets will be used for training, updating, evaluating and publicly serving state-of-the-art language models for European languages (both monolingual and multilingual). This includes developing and refining automated replicable software installations across high-performance computing (HPC) systems, notably the new LUMI European pre-exascale supercomputer. The successful candidate will join the HPLT project team and enjoy an active role in the consortium. Applicants must hold a degree equivalent to a Norwegian doctoral degree in Natural Language Processing, Computational Linguistics, or Computer Science with a suitable specialization. Candidates whose doctoral thesis has been submitted for evaluation by the closing date are encouraged to apply. Only applicants with an approved doctoral thesis and public defense prior to the start date will be eligible for appointment. The application deadline is September 23, 2022. Starting date subject to discussion, but no later than February 1, 2023. For more information, please see the full announcement and application form here: https://www.jobbnorge.no/en/available-jobs/job/231118/postdoctoral-research… Please do not hesitate to contact us for any further information: - postdoctoral fellow Andrey Kutuzov: andreku(a)ifi.uio.no - professor Stephan Oepen: oe(a)ifi.uio.no -- Andrey Postdoctoral Fellow Language Technology Group (LTG) University of Oslo

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Call for papers ConsiLR
by Victoria Bobicev 20 Sep '22

20 Sep '22

Dear friends and colleagues! *Due to technical problems our site has been down for almost a week.* *Now it is back on place.* *This is why we repeat our last Call for papers for ConsILR-2022 * We kindly invite you to submit a paper for the 17th edition of The *International Conference on Linguistic Resources and Tools * *for Natural Language Processing* – ConsILR-2022 together with the 2nd *DeLORo Workshop*, which will jointly take place from the 10th to the 12th of November 2022, in Chișinău, Republic of Moldova and online. The deadlines for paper’ submissions have been extended: - *September 23, 2022 – abstracts submission (max 300 words);* - *September 30, 2022 – paper submission;* - *October 12, 2022 – authors’ notification;* - *October 20, 2022 – final form submission;* We invite papers presenting original and unpublished research in all areas related to Linguistic Resources and Tools for Natural Language Processing. We call for contributions that range from theoretical, empirical and applied linguistics to computational models, from development of resources to their dedicated use for the improvement of the natural language technology, research related to any language or no one in particular; case studies, demos and review papers are also most welcome. We encourage research evidencing specific interest on the Romanian spoken or written language per se or in contrast with other languages or within its idioms, describing morphological, syntactic and semantic structures, pragmatic usage, multi-word expressions, culture-bound or nature-related, the formation of the modern Romanian language, etc. Submitted papers can include descriptions of accomplished or in progress work. The joint DeLORo <http://deloro.iit.academiaromana-is.ro/> event is rooted in a nationally funded project aiming to build a technology capable of automatically transcribing Romanian documents written in Cyrillic into their Latin equivalents, in order to be placed at the base of future linguistic and semantic studies of the Romanian language. The 2nd DeLORo workshop will take place in the 3rd day of the ConsILR conference. Participants not involved in the project are also welcome. Authors are encouraged to also submit, additional to the papers *per se*, open-source linguistic resources, such as corpora (or corpus examples), demo code, videos and sound files. Further information can be found on the conference web site https://profs.info.uaic.ro/~consilr/2022/ On behalf of the conference organizers, Victoria Bobicev, Technical University of Moldova. *The ConsILR-2022 Conference is dedicated to* *the Ukrainian scientists! * *Their participation is tax free. *

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Special issue DSTC9&10 on IEEE-ACM TASLP (Due Oct 15, 202)
by Luis Fernando D'Haro 20 Sep '22

20 Sep '22

=========================================================================================== IEEE/ACM TASLP Joint Special Issue on the Ninth and Tenth Dialog System Technology Challenge Call for Participation Websites: https://signalprocessingsociety.org/blog/ieee-acmtaslp-special-issue-ninth-… https://dstc10.dstc.community/call-for-talsp-papers =========================================================================================== The Dialog System Technology Challenge (DSTC) is an ongoing series of research competitions for dialog systems. To accelerate the development of new dialog technologies, the DSTCs have provided common testbeds for various research problems. The Ninth and Tenth Dialog System Technology Challenge (DSTC9&10) consist of the following nine main tracks. DSTC9: -Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access -Multi-domain Task-oriented Dialog Challenge II -Interactive Evaluation of Dialog -SIMMC: Situated Interactive Multi-Modal Conversational AI DSTC10: -MOD: Internet Meme Incorporated Open-domain Dialog -Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations -SIMMC 2.0: Situated Interactive Multimodal Conversational AI -Reasoning for Audio Visual Scene-Aware Dialog -Automatic Evaluation and Moderation of Open-domain Dialogue Systems This special issue will host work on any of the DSTC9&10 tasks. Papers may describe entries in the official DSTC9&10 challenge, or any research utilizing their datasets irrespective of the participation in the official challenge. We also welcome papers that analyze the DSTC9&10 tasks or results themselves. Finally, we also invite papers on previous DSTC tasks as well as general technical papers on any dialog-related research problems. Submission requirements ----------------------- You can get the author guide from the following link: https://signalprocessingsociety.org/publications-resources/information-auth… <https://www.google.com/url?q=https%3A%2F%2Fsignalprocessingsociety.org%2Fpu…> Submission site ----------------------- Submit your paper at mc.manuscriptcentral.com/tasl-ieee Important Dates ----------------------- -Manuscript submission date: October 15, 2022 -First Review Completed: December 15, 2022 -Revised Manuscript Due: January 15, 2023 -Second Review Completed: March 15, 2023 -Final Manuscript Due: April 30, 2023 -Expected publication date: July 2023 CONTACT ------- For any query regarding this special issue please contact steering(a)dstc.community Guest Editors Koichiro Yoshino, RIKEN, Japan Chulaka Gunasekara, IBM Research AI, USA

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CFP ACM TALLIP Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages
by Bharathi Raja Asoka Chakravarthi 20 Sep '22

20 Sep '22

*Apologies for cross-posting* *Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages * Link: https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang… * Aims, Scope and Objective of Special Issue: * Our everyday lives have become more reliant on online platforms. Social media (Facebook, Twitter, Instagram), discussion websites (Reddit), messaging services (WhatsApp, Snapchat), blogs, forums, and online chats have all been used to spread ideas and data. Without a doubt, social media platforms like Facebook, Twitter, and Instagram benefit society by enabling individuals to express themselves and seek support from others in the online community. Additionally, these platforms have an unmistakable wrong side: cyberbullying, cyberstalking, cyberterrorism, e-bile, fake news, flaming, hate speech, impersonation, pornography, glorification of dangerous behavior (e.g., eating disorders), and trolling. Various news sites in recent years have recorded numerous incidences of suicide, grief, and fear. Additionally, although individuals from many linguistic origins are exposed to online social media, English remains at the forefront of continuing advances in language technology research. Recently, several study investigations on highly resourced languages, such as Arabic, German, Hindi, and Italian, have been done. However, more research on making social media platforms safer in low-resource Eurasian languages is still needed. This special issue aims to gather original research articles that add to the body of knowledge about the use of intelligent natural language systems to build a safer social media environment in low-resource Eurasian languages. Topics Among the special issue's topics of interest are the following: - • Early detection of radicalization in low-resource Eurasian languages • Mechanisms for recognizing and preventing cyber predators in low-resource Eurasian languages • Identifying and resolving hate speech (abusive language, cyberbullying, etc.) in low-resource Eurasian languages • Simulated propagation and transmission of potentially harmful information via social media in low-resource Eurasian languages • Data collection and annotation methodologies for to safer social media in low resourced Eurasian languages • Content moderation strategies in low-resource Eurasian languages • Cybersecurity and social media in low-resource Eurasian languages • Fake news detection in low-resource Eurasian languages * Important Dates • Submissions deadline: 10 February 2023 * with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en <https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Pred…>

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Job: Research Associate – Natural Language Processing @ UCREL, Lancaster University
by Mahmoud El-Haj 20 Sep '22

20 Sep '22

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2025

2024

2023

2022

Corpora