January 2024 - Corpora

1st CFP: 8th Workshop on Cognitive Aspects of the Lexicon
by Emmanuele Chersoni 08 Jan '24

08 Jan '24

*The 8th International Workshop on Cognitive Aspects of the Lexicon* https://sites.google.com/view/cogalex-viii-2024 *Co-located with LREC-COLING 2024* https://lrec-coling-2024.org/ <https://www.aacl2022.org/home> Turin, Italy, 20-25 May 2024 * Important Dates* Submission deadline: February 23, 2024 Date of notification: March 20, 2024 Camera ready deadline: March 29, 2024 CogALex workshop: May 20, 2024 *Meeting Description* The way we look at the lexicon has changed dramatically over the last few decades. While in the past being considered as an appendix to grammar, the lexicon has now moved to the center stage. Indeed, there is hardly any task in NLP that can be conducted without it. Also, many new proposals have emerged during the last few years. Living in a fast-moving world, it is hard for anyone to stay on top of the wave. Hence the reason for organizing events like this. The goal of this workshop is to provide builders and users of lexical resources (researchers in NLP, psychologists, computational lexicographers) a forum to share their knowledge and needs concerning the construction, organization, and use of a lexicon by people (lexical access) and machines (NLP, IR, data mining). Like in the past, we invite researchers to address unsolved problems concerning the lexicon, by considering this time however also Large Language Models (LLMs). More precisely, we would like to explore their potential for building and using lexical resources as well as their ability to shed new light on the cognitive aspects of the lexicon. We solicit contributions including, but not limited to, the topics listed below, topics, which can be considered from any of the following points of view: - traditional-, computational- or corpus linguistics, - neuro- or psycholinguistics (tip of the tongue problem, word associations), - mathematics (embedding-based approaches, graph theory, small-world problems), etc. *Submissions* Possible submission topics are: - The potential of Large Language Models for the creation and use of lexical resources; - Organization, i.e., structure of the lexicon; - The meaning of words and how to reveal it; - Analysis of the conceptual input given by a dictionary user; - Methods for crafting dictionaries or indexes; - Creation of new types of dictionaries; - Dictionary access (navigation and search strategies), interface issues Short papers can be up to 4 pages in length and long papers up to 8 pages. Both submission formats can have an unlimited number of pages for references. To create your document, please follow the guidelines defined by COLING using their style sheets ( https://lrec-coling-2024.org/authors-kit/). The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blinded. Accepted papers will also be given an additional page to address the reviewers’ comments. Notice that at least one of the authors of an accepted paper must register for the main conference and present the paper. *Submission Page* https://softconf.com/lrec-coling2024/cogalex2024/ *Dual Submission Policy* Papers may not be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication. *Invited Speaker* Prof. Gilles-Maurice de Schryver (Ghent University, Belgium) https://tshwanedje.com/members/gmds/cv.html *Workshop organizers* - Michael Zock (CNRS, LIS, Aix-Marseille University, Marseille, France) - Emmanuele Chersoni (Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China) - Yu-Yin Hsu (Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China) - Simon de Deyne (University of Melbourne / School of Psychological Sciences, University of Adelaide)

1 0

2nd Call for Participation: SemRel SemEval Shared Task 1
by Nedjma OUSIDHOUM 08 Jan '24

08 Jan '24

Dear corpora-list members, We are announcing the first SemEval shared task on Semantic Textual Relatedness (STR): A shared task on automatically detecting the degree of semantic relatedness (closeness in meaning) between pairs of sentences. The semantic relatedness of two language units has long been considered fundamental to understanding meaning (Halliday and Hasan, 1976; Miller and Charles, 1991), and automatically determining relatedness has many applications such as evaluating sentence representation methods, question answering, and summarization. Two sentences are considered semantically similar when they have a paraphrasal or entailment relation. On the other hand, relatedness is a much broader concept that accounts for all the commonalities between two sentences: whether they are on the same topic, express the same view, originate from the same time period, one elaborates on (or follows from) the other, etc. For instance, for the following sentence pairs: - Pair 1: a. There was a lemon tree next to the house. b. The boy enjoyed reading under the lemon tree. - Pair 2: a. There was a lemon tree next to the house. b. The boy was an excellent football player. Most people will agree that the sentences in pair 1 are more related than the sentences in pair 2. In this task, new textual datasets will be provided for Afrikaans <https://en.wikipedia.org/wiki/Afrikaans>, Algerian Arabic <https://en.wikipedia.org/wiki/Algerian_Arabic>, Amharic <https://en.wikipedia.org/wiki/Amharic>, English, Hausa <https://en.wikipedia.org/wiki/Hausa_language>, Hindi <https://en.wikipedia.org/wiki/Hindi>, Indonesian <https://en.wikipedia.org/wiki/Indonesian_language>, Kinyarwanda <https://en.wikipedia.org/wiki/Kinyarwanda>, Marathi <https://en.wikipedia.org/wiki/Marathi_language>, Moroccan Arabic <https://en.wikipedia.org/wiki/Moroccan_Arabic>, Modern Standard Arabic <https://en.wikipedia.org/wiki/Modern_Standard_Arabic>, Punjabi <https://en.wikipedia.org/wiki/Punjabi_language>, Spanish <https://en.wikipedia.org/wiki/Spanish_language>, and Telugu <https://en.wikipedia.org/wiki/Telugu_language>. Data Each instance in the training, development, and test sets is a sentence pair. The instance is labeled with a score representing the degree of semantic textual relatedness between the two sentences. The scores can range from 0 (maximally unrelated) to 1 (maximally related). These gold label scores have been determined through manual annotation. Specifically, a comparative annotation approach was used to avoid known limitations of traditional rating scale annotation methods This comparative annotation process (which avoids several biases of traditional rating scales) led to a high reliability of the final relatedness rankings. Further details about the task, the method of data annotation, how STR is different from semantic textual similarity, applications of semantic textual relatedness, etc. can be found in this paper: https://aclanthology.org/2023.eacl-main.55.pdf Tracks Each team can provide submissions for one, two or all of the tracks shown below: Track A: Supervised Participants are to submit systems that have been trained using the labeled training datasets provided. Participating teams are allowed to use any publicly available datasets (e.g., other relatedness and similarity datasets or datasets in any other languages). However, they must report additional data they used, and ideally report how impactful each resource was on the final results. Track B: Unsupervised Participants are to submit systems that have been developed without the use of any labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long in any language. The use of unigram or bigram relatedness datasets (from any language) is permitted. Track C: Cross-lingual Participants are to submit systems that have been developed without the use of any labeled semantic similarity or semantic relatedness datasets in the target language and with the use of labeled dataset(s) from at least one other language. Note: Using labeled data from another track is mandatory for submission to this track. Deciding which track a submission should go to: - If a submission uses labeled data in the target language: submit to Track A - If a submission does not use labeled data in the target language but uses labeled data from another language: submit to Track C - If a submission does not use labeled data in any language: submit to Track B ** Here ‘labeled data’ refers to labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long. Evaluation The official evaluation metric for this task is the Spearman rank correlation coefficient, which captures how well the system-predicted rankings of test instances align with human judgments. You can find the evaluation script for this shared task on our Github page <https://github.com/semantic-textual-relatedness/Semantic_Relatedness_SemEva…> . Helpful Links - Competition Website: https://codalab.lisn.upsaclay.fr/competitions/15704 - Task Website: <https://afrisenti-semeval.github.io/> https://semantic-textual-relatedness.github.io - Twitter X: <https://twitter.com/AfriSenti2023> https://twitter.com/SemRel2024 - Contact organisers semrel-semeval-organisers(a)googlegroups.com - Google group for participants semrel -semeval-participants(a)googlegroups.com Important Dates - Training data ready: 11 September 2023 - Evaluation Starts: 10 January 2024 - Evaluation End: 31 January 2024 - System Description Paper Due: February 2024 - SemEval workshop: Summer 2024 - (co-located with NAACL 2024) NB. We will organise a mentorship session in January and a system description writing tutorial in February for all participants, especially students and junior researchers. References - Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko. 2019. Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. - M. A. K. Halliday and R. Hasan. 1976. Cohesion in English. London: Longman. - George A Miller and Walter G Charles. 1991. Contextual Correlates of Semantic Similarity. Language and Cognitive Processes, 6(1):1–28 - Mohamed Abdalla, Krishnapriya Vishnubhotla, and Saif Mohammad. 2023. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 782–796, Dubrovnik, Croatia. Association for Computational Linguistics. Task Organizers Nedjma Ousidhoum Shamsuddeen Hassan Muhammad Mohamed Abdalla Krishnapriya Vishnubhotla Vladimir Araujo Meriem Beloucif Idris Abdulmumin Seid Muhie Yimam Nirmal Surange Christine De Kock Sanchit Ahuja Oumaima Hourrane Manish Shrivastava Alham Fikri Aji Thamar Solorio Saif M. Mohammad

1 1

Jobs at the University of Groningen: Assistant Professors in Language Technology & Humane AI
by Bos, Johan 08 Jan '24

08 Jan '24

We are looking for new colleagues to strengthen our amazing computational linguistics research group at the University of Groningen. Please follow the link below for more information: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Application deadline: Feb 1, 2024

1 0

Second Call for Papers - International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024)
by t.ranasinghe＠aston.ac.uk 08 Jan '24

08 Jan '24

International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) Varna, Bulgaria, 3-6 July 2024 Second Call for Papers The conference The second edition of the forthcoming International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) will take place in Varna, Bulgaria, 3-6 July 2024. The objective of the conference is (i) to bridge the gap between academia and industry in the field of translation and interpreting by bringing together academics in linguistics, translation studies, machine translation and natural language processing, developers, practitioners, language service providers and vendors who work on or are interested in different aspects of technology for translation and interpreting, and (ii) to be a distinctive event for discussing the latest developments and practices. NeTTT’2024 invites all professionals who would like to learn about the new trends, present the latest work or/and share their experience in the field, and who would like to establish business and research contacts, collaborations and new ventures. The conference will take the form of presentations (peer-reviewed research and user presentations, keynote speeches), and posters; it will also feature panel discussions. The accepted papers will be published as open-access conference e-proceedings. Conference topics Contributions are invited on any topic related to latest technology and practices in machine translation, translation, subtitling, localisation and interpreting. NeTTT’2024 will feature a Special Theme Track "Future of Translation Technology in the Era of LLMs and Generative AI". The conference topics include but are not limited to: CAT tools - Translation Memory (TM) systems - NLP and MT for translation memory systems - Terminology extraction tools - Localisation tools Machine Translation - Latest developments in Neural Machine Translation - MT for under-resourced languages - MT with low computing resources - Multimodal MT - Integration of MT in TM systems - Resources for MT Technologies for MT deployment - MT evaluation techniques, metrics and evaluation results - Human evaluations of MT output - Evaluating MT in a real-world setting - Quality estimation for MT - Domain adaptation Translation Studies - Corpus-based studies applied to translation - Corpora and resources for translation - Translationese - Cognitive effort and eye-tracking experiments in translation Interpreting studies - Corpus-based studies applied to interpreting - Corpora and resources for interpreting - Interpretese - Resources for interpreting and interpreting technology applications - Cognitive effort and eye-tracking experiments in interpreting Interpreting technology - Machine interpreting - Computer-aided interpreting - NLP for dialogue interpreting - Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services) Emerging Areas in Translation and Interpreting - MT and translation tools for literary texts and creative texts - MT for social media and real-time conversations - Sign language recognition and translation Subtitling - NLP and MT for subtitling - Latest technology for subtitling 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 The business of translation and interpreting - Translation workflow and management - Technology adoption by translators and industry - Setting up translation /interpreting / language provider company Teaching translation and interpreting - Teaching Machine Translation - Teaching translation technology - Teaching interpreting technology - Latest AI developments in the syllabi of translation and interpreting curricula Ethical issues in translation and technology - Bias and fairness in MT - Privacy and security in cloud MT systems - Transparency and explainability of MT systems - Environmental impact on MT systems Special Theme Track - Future of Translation Technology in the Era of LLMs and Generative AI We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency. The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following: - Changes in the translators and interpreters’ professions in the new AI era especially as a result of the latest developments in LLMSs and Generative AI - Generative AI and translation - Generative AI and interpreting - Augmenting machine translation systems with generative AI - Domain and terminology adaptation with Large Language Models - Literary translation with Large Language Models - Improving Machine Translation Quality with Contextual Prompts in Large Language Models - Prompt engineering for translation - Generative AI for professional translation - Generative AI for professional interpreting We anticipate having a special session on this theme at the conference. Submissions and publication NETTT’2024 invites the following types of submissions: User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages. 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 12 pages + unlimited references. • (academic) work-in-progress papers/posters – 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 7 pages + unlimited references. • (academic) demo papers – describing working systems. Allowed paper length: maximum 5 pages + unlimited references. In addition to the papers, the authors will be expected to demonstrate the systems at the workshop. The conference will not consider and evaluate abstracts only. Each submission will be reviewed by three members of the Programme Committee. Submission is organised via Softconf START conference management system at https://softconf.com/n/nettt2024. For submitting the papers, we invite the authors to comply with the Springer format, following the templates: • LaTeX, - https://resource-cms.springernature.com/springer-cms/rest/v1/content/192386… • Overleaf, - https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer… • Word. - https://resource-cms.springernature.com/springer-cms/rest/v1/content/192387… The accepted papers will be published in the conference proceedings and made available online on the conference website. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers. The final version of the accepted papers will be published in e-proceedings with assigned ISBN and DOI. All accepted papers will be included in the conference e-proceedings which will be available at the conference website. Schedule Submission deadline: 31 March 2024 Notification: 5 June 2024 Final version due: 20 June 2024 All deadlines are valid for 23.59 Anywhere on Earth. Venue The conference will take place at Conference Hotel Cherno More, Varna, situated only 200 m away from the fine sandy Black Sea beach. Further information and contact details Registration will open on 15 January 2024. The follow-up calls will list keynote speakers and members of the programme committee once confirmed. The conference website is https://nettt-conference.com and will be updated on a regular basis. For further information, please contact us at nettt2024(a)nettt-conference.com

1 0

Touché 2024: Shared Tasks on Argumentation Systems.
by Johannes Kiesel 08 Jan '24

08 Jan '24

Touché 2024: Shared Tasks on Argumentation Systems. Call for Participation. Touché is a series of shared tasks on argumentation systems, now in its 5th year. It is held in conjunction with the CLEF'24 conference in Grenoble, France, September 9-12. This year, Touché features a selection of three tasks: 1. Human Value Detection (a continuation of ValueEval’23 @ SemEval) features two subtasks in ethical argumentation on the detection of human values in texts and their attainment, respectively https://touche.webis.de/clef24/touche24-web/human-value-detection.html 2. Ideology and Power Identification in Parliamentary Debates (new task) features two subtasks in debate analysis on the detection of the ideology and position of power of the speaker’s party, respectively https://touche.webis.de/clef24/touche24-web/ideology-and-power-identificati… 3. Image Retrieval for Arguments (third edition, joint with ImageCLEF) features a task on the retrieval or generation of images to help convey an argument’s premise https://touche.webis.de/clef24/touche24-web/image-retrieval-for-arguments.h… Registration is now open (via CLEF): https://clef2024-labs-registration.dei.unipd.it/ Important Dates --------------- May 6, 2024: Approaches submission deadline. May 31, 2024: Participant paper submission. June 21, 2024: Participant paper notification. July 8, 2024: Camera-ready participant papers submission. Sep. 9-12, 2024: Conference Links ----- Touché: https://touche.webis.de/ Contact: touche(a)webis.de CLEF: https://clef2024.clef-initiative.eu/ Registration: https://clef2024-labs-registration.dei.unipd.it/ We are looking forward to your submission! The Touché team

1 0

What is going to be the ending of the LLM movie ?
by Giuseppe Riccardi 08 Jan '24

08 Jan '24

Dear Friends and Colleagues, Whether you are a champ or skeptic of LLMs, they are here to stay. The ending of the movie is still unknown. We believe a critical aspect in the plot development will be the progress we make in the evaluation process of LLMs both in the training and testing ( inference ) phases. We lack appropriate, shared, and transparent evaluation methodologies and metrics. We would like to invite you to review and contribute to the proposed open model for LLM evaluations. It is a framework you can use as-is, in part, or contribute to modifying and extending. Article: Evaluation of Response Generation Models: Shouldn’t It Be Shareable and Replicable? <https://aclanthology.org/2022.gem-1.12/>. In Proceedings of the 2nd GEM Workshop @EMNLP 2022. Repo (codes, UI, guidelines, etc.): https://github.com/sislab-unitn/Human-Evaluation-Protocol Publications utilizing the proposed protocol: 1. Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps? <https://aclanthology.org/2023.nlp4convai-1.1/> (Mousavi et al., NLP4ConvAI 2023) 2. Are LLMs Robust for Spoken Dialogues? <https://arxiv.org/abs/2401.02297> (Mousavi et al., IWSDS2024) Best Regards ---- Prof. Dr.-Ing. Giuseppe Riccardi Founder and Director of the Signals and Interactive Systems Lab Department of Computer Science and Engineering Department University of Trento

1 0

21st International Conference on Software and Systems Reuse (ICSR 2024): Fourth Call for Papers
by Announce 05 Jan '24

05 Jan '24

*** Fourth Call for Papers *** 21st International Conference on Software and Systems Reuse (ICSR 2024) June 10-12, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/icsr2024/ (*** Submission Deadline: 12th February, 2024 AoE ***) The International Conference on Software and Systems Reuse (ICSR) is a biannual conference in the field of software reuse research and technology. ICSR is a premier event aiming to present the most recent advances and breakthroughs in the area of software reuse and to promote an intensive and continuous exchange among researchers and practitioners. The guiding theme of this edition is Sustainable Software Reuse. We invite submissions on new and innovative research results and industrial experience reports dealing with all aspects of software reuse within the context of the modern software development landscape. Topics include but are not limited to the following. 1 Technical aspects of reuse, including • Reuse in/for Quality Assurance (QA) techniques, testing, verification, etc. • Domain ontologies and Model-Driven Development • Variability management and software product lines • Context-aware and Dynamic Reuse • Reuse in and for Machine Learning • Domain-specific languages (DSLs) • New language abstractions for software reuse • Generative Development • COTS-based development and reuse of open source assets • Retrieval and recommendation of reusable assets • Reuse of non-code artefacts • Architecture-centric reuse approaches • Service-oriented architectures and microservices • Software composition and modularization • Sustainability and software reuse • Economic models of reuse • Benefit and risk analysis, scoping • Legal and managerial aspects of reuse • Reuse adoption and transition to software reuse • Lightweight reuse approaches • Reuse in agile projects • Technical debt and software reuse 2 Software reuse in industry and in emerging domains • Reuse success stories • Reuse failures, and lessons learned • Reuse obstacles and success factors • Return on Investment (ROI) studies • Reuse in hot topic domains (Artificial Intelligence, Internet of Things, Virtualization, Network functions, Quantum Computing, etc.) We welcome research (16 pages) and industry papers (12 pages) following the Springer Lecture Notes in Computer Science format. Submissions will be handled via EasyChair (https://easychair.org/my/conference?conf=icsr2024). Submissions will be **double-blindly** reviewed, meaning that authors should: • Omit all authors’ names and affiliations from the title page • Do not include the acknowledgement section, if you have any, in the submitted paper • Refer to your own work in the third person • Use anonymous GitHub, Zenondo, FigShare or equivalent to provide access to artefacts without disclosing your identity Both research and industry papers will be reviewed by members of the same program committee (check the website for details). Proceedings will be published by Springer in their Lecture Notes for Computer Science (LNCS) series. An award will be given to the best research and the best industry papers. The authors of selected papers from the conference will be invited to submit an extended version (containing at least 30% new material) to a special issue in the Journal of Systems and Software (Elsevier). More details will follow. IMPORTANT DATES • Abstract submission: February 12, 2024, AoE • Full paper submission: February 19, 2024, AoE • Notification: April 8, 2024, AoE • Camera Ready: April 15, 2024, AoE • Author Registration: April 15, 2024 AoE ORGANISATION Steering Committee • Eduardo Almeida, Federal University of Bahia, Brazil • Goetz Botterweck, Lero, University of Limerick, Ireland • Rafael Capilla, Rey Juan Carlos University, Spain • John Favaro, Trust-IT, Italy • William B. Frakes, IEEE TCSE committee on software reuse, USA • Martin L. Griss, Carnegie Mellon University, USA • Oliver Hummel, University of Applied Sciences, Germany • Hafedh Mili, Université du Québec à Montréal, Canada • Nan Niu, University of Cincinnati, USA • George Angelos Papadopoulos, University of Cyprus, Cyprus • Claudia M.L. Werner, Federal University of Rio de Janeiro, Brazil General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Co-Chairs • Achilleas Achilleos, Frederick University, Cyprus • Lidia Fuentes, University of Malaga, Spain

1 0

3-year postdoc in NLP
by Slava Jankin 04 Jan '24

04 Jan '24

The Centre for Artificial Intelligence in Government (CAIG) <https://www.birmingham.ac.uk/research/centre-for-artificial-intelligence-in…> at the University of Birmingham invites applications for a Research Fellow with background in Machine Learning or Natural Language Processing to work on data science and AI applications across various research themes in the Centre <https://www.birmingham.ac.uk/research/centre-for-artificial-intelligence-in…>: AI for Democracy; AI for Global Affairs; AI for Government and Policy; and AI for the Health and Climate change Nexus. This is a 3-year position. This position is an excellent opportunity for a highly motivated and skilled researcher to play a pivotal role in the Centre's mission to expand the role of AI and data science in the social sciences. This mission is institutionally supported through the Data Science and AI Initiative in the College of Social Sciences. The Centre is based within the Institute for Interdisciplinary Data Science and Artificial Intelligence (IIDSAI) <https://www.birmingham.ac.uk/research/data-science/index.aspx>, which coordinates AI research and education at the University of Birmingham. As a Fellow you will have opportunities to obtain funding, lead projects, mentor students, and collaborate with governments and industry. You will work with an interdisciplinary team of computational social scientists, research software engineers and research data scientists <https://www.birmingham.ac.uk/research/arc/rsg/staff/index.aspx>. You will collaborate with colleagues from the School of Government and College of Social Sciences. Through IIDSAI you will also collaborate with colleagues from other AI-related disciplines. For example, Computer Science, Mathematics, Linguistics, Psychology, Medicine, Energy and Sustainability. You will have access to Baskerville, a UKRI National Tier-2 HPC facility <https://www.baskerville.ac.uk/index.html>, and BlueBEAR, the University HPC and HTC facility <https://www.birmingham.ac.uk/research/arc/bear/bluebear/index.aspx>. You will benefit from advanced training opportunities facilitated by IIDSAI. Responsibilities - Conduct innovative research on data science and AI applications in the social sciences - Contribute to projects under the Centre research themes - Pursue personal research and funding opportunities - Publish high quality research - Make substantial contributions to knowledge transfer and public engagement Requirements - PhD in NLP/ML/AI or related field - Strong publication record and research vision - Extensive experience with NLP and ML applications, including frontier models - Passion for interdisciplinary collaborative work Application Process To apply, please submit the following materials: Cover letter, detailing your proposed contribution to research themes of the Centre. Curriculum vitae, including a list of publications. Two representative publications or preprints. Contact details for two academic referees. The deadline for applications is 24 January 2024. We will invite shortlisted candidates for an interview shortly thereafter. Please direct any questions about the position to Professor Slava Jankin (v.jankin(a)bham.ac.uk <mailto:v.jankin@bham.ac.uk>) or Dr Timea Nochta (t.nochta(a)bham.ac.uk <mailto:t.nochta@bham.ac.uk>). The Centre for AI in Government is committed to creating a diverse and inclusive work environment and encourages applications from all qualified candidates, including women, minorities, and individuals with disabilities. _________ Slava Jankin Professor of Data Science and Government School of Government and School of Computer Science Turing Academic Lead University of Birmingham Edgbaston, Birmingham, B15 2TT, UK

1 0

Fwd: OPENCOR Forum 2024 --2nd Call for Papers
by Livy Real 04 Jan '24

04 Jan '24

Dear all, OPENCOR: Latin American and Iberian Languages Open Corpora Forum This year's OpenCor Forum will be held as a part of The 16th International Conference on Computational Processing of Portuguese (PROPOR 2024) <https://propor2024.citius.gal/> in Santiago de Compostela, Spain. OpenCor is a *collaborative* list of open corpora for Latin American and Iberian Languages. OpenCor is also a discussion group aiming to have annual meetings to integrate these communities. The full Call for Papers can be found at https://opencor.gitlab.io/cfp-opencor-2024/ The important dates are: Deadline for submission: January 17th Acceptance notification: February 1st Workshop: Day to be announced, March 14th or 15th, 2024 Looking forward to your submissions, Livy, Ivan, and Valeria -- Livy Real GLiC/USP https://livyreal.github.io/

1 0

Edge Hill Corpus Research Group, 11 January 2024
by Costas Gabrielatos 04 Jan '24

04 Jan '24

The next meeting of the Edge Hill Corpus Research Group will take place online (via Teams) on Thursday 11 January 2024, 2:00-3:00 pm (GMT). Attendance is free. You can register here: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Registration closes on Wednesday 10 January, 12 noon (GMT) Topics: Corpus Methodology, Phraseology Speaker: Benet Vincent<https://www.coventry.ac.uk/life-on-campus/staff-directory/arts-and-humaniti…> (Coventry University, UK) Title: Methodological issues and challenges in the use of phrase-frames to investigate phraseology Abstract The importance of gaining a better understanding of phraseology has been recognised for some time now in the area of English for Academic Purposes (EAP). A widespread approach is to extract from a corpus frequently-occurring fixed strings (lexical bundles, or clusters) of potentially useful phrases/multi-word units (see e.g. Gilmore and Millar's 2018). A limitation of this sort of study is the focus on fixed continuous sequences when phrases are well-known to allow a degree of variation (see e.g. Gries, 2008). One proposal to address this limitation is the 'phrase frame' (p-frame), a fixed sequence of items occurring frequently in a corpus with one or two empty slots (Lu, Yoon & Kisselev, 2021). This approach allows researchers to retrieve the most frequent p-frames in a particular corpus, then identify which items typically fill these slots and what meanings / functions might be associated with them. The idea is that the results of such research can help us better understand how members of a specific discourse community typically express themselves, which in turn may inform EAP pedagogy (Lu, Yoon, & Kisselev, 2018). Our project aimed to use a p-frame approach to create a list of pedagogically useful phrases to help novice writers of RA introductions in Health Sciences. A number of studies have used a p-frame approach with similar aims though for different discipline areas, including Fuster-Márquez and Pennock-Speck (2015), Cunningham (2017) and Lu et al., (2018, 2021). However, analysis of these studies indicates that they lack consensus on a number of issues central to p-frame methodology, presenting a challenge for new work in this area. This presentation will provide an overview of the key issues in p-frame research which we have identified and show how we have addressed them. The main aim will be to underline the importance of ensuring that the methods applied by a p-frame study align with the aims of the project. References Cunningham, K. J. (2017). A phraseological exploration of recent mathematics research articles through key phrase frames. Journal of English for Academic Purposes, 25, 71. https://doi.org/10.1016/j.jeap.2016.11.005 Fuster-Márquez, M., & Pennock-Speck, B. (2015). Target frames in British hotel websites. International Journal of English Studies, 15(1), 51-69. https://doi.org/10.6018/ijes/2015/1/213231 Gilmore, A., & Millar, N. (2018). The language of civil engineering research articles: A corpus-based approach. English for Specific Purposes, 51, 1-17. https://doi.org/10.1016/j.esp.2018.02.002 Gries, S. (2008). Phraseology and linguistic theory. In Phraseology: An interdisciplinary perspective, S. Granger & F. Meunier (eds.), 3-26. Lu, X., Yoon, J., & Kisselev, O. (2018). A phrase-frame list for social science research article introductions. Journal of English for Academic Purposes, 36, 76-85. https://doi.org/10.1016/j.jeap.2018.09.004 Lu, X., Yoon, J., & Kisselev, O. (2021). Matching phrase-frames to rhetorical moves in social science research article introductions. English for Specific Purposes, 61, 63-83. https://doi.org/10.1016/j.esp.2020.10.001 ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

1 0

2025

2024

2023

2022

Corpora January 2024