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PhD/PostDoc position (3 years) on NLP for Social Good at Leibniz University Hannover (due June 23)
by h.wachsmuth＠ai.uni-hannover.de 30 May '24

30 May '24

The Institute of Artificial Intelligence invites applications for the position of a DOCTORAL OR POSTDOCTORAL RESEARCHER (M/F/D) ON THE TOPIC OF NATURAL LANGUAGE PROCESSING (NLP) FOR SOCIAL GOOD (SALARY SCALE 13 TV-L, 100%) starting in September 2024 or soon afterwards. The position is limited to a period of three years with the possibility of extension. TASKS The goal of the offered position is to carry out innovative research on NLP, aiming for scientific publications at reputed international venues. The research should involve large language models (LLMs) related to NLP for social good. We support the development of own research directions in this broad context. The position also comes with a teaching duty of four hours per week; the candidate is expected to lead tutorials and/or programming labs as well as to support the supervision of bachelor's and master’s students. We are looking for highly motivated candidates with a passion for creativity and learning who seek to make a positive impact through open and independent research in a young team. YOUR PROFILE - Completed academic degree (Master or comparable) in computer science, computational linguistics, artificial intelligence, or related disciplines - Solid understanding of machine learning with hands-on experience, ideally in the context of NLP and LLMs - Proficient programming skills in Python - Good scientific writing skills (for example, shown by a very good master’s thesis) are expected - Strong communication skills in English, both in oral and in written form TEAM The position will be placed in the NLP Group at the Institute of Artificial Intelligence. We are a diverse and international team, studying how humans express their views and intentions in language, and how LLMs can understand and create such language in a fair, trustworthy, and explainable way. Our research tackles interdisciplinary questions from the humanities and social sciences, while building on state-of-the-art NLP techniques, such as instruction fine-tuning and contrastive learning. We seek to do cutting-edge research on artificial intelligence methods that have a positive impact on society and the world. OUR OFFER - Creative and innovative work in a diverse and international team - Possibility to obtain a Ph.D. degree or to shape your Postdoc profile - State-of-the-art research facilities, including top-notch computing clusters - Participation in international scientific events and research collaborations - Salary at the level of 100% of salary scale 13 according to the Collective Agreement for the Public Service of the Länder (TV-L) D&I Leibniz University Hannover considers itself a family-friendly university and therefore promotes a balance between work and family responsibilities. Part-time employment can be arranged upon request. The university aims to promote equality between women and men. For this purpose, the university strives to reduce under-representation in areas where a certain gender is under-represented. Women are under-represented in the salary scale of the advertised position. Therefore, qualified women are encouraged to apply. Moreover, we welcome applications from qualified men. Preference will be given to equally-qualified applicants with disabilities. QUESTIONS In case you have questions, please contact Maja Stahl (email: m.stahl(a)ai.uni-hannover.de). Further information about the NLP Group can be found at: https://www.ai.uni-hannover.de/en/institute/research-groups/nlp For information on the salary scales, see: https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023&matrix… APPLICATION Please submit your application with supporting documents (including CV, full set of transcripts, a brief statement of at most 1 page of why you apply to the NLP Group, and possibly further qualifications) by June 23, 2024 as a single PDF file to Email: office(a)ai.uni-hannover.de (subject: “[ai-nlp] Application”) or alternatively by post to: Gottfried Wilhelm Leibniz Universität Hannover Institute of Artificial Intelligence Prof. Dr. Henning Wachsmuth Welfengarten 1, 30167 Hannover Germany http://www.uni-hannover.de/jobs Information on the collection of personal data according to article 13 GDPR can be found at https://www.uni-hannover.de/en/datenschutzhinweis-bewerbungen/.

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Fw: University of Leeds - Research Fellow in Computational Climate Politics
by Eric Atwell 30 May '24

30 May '24

Using methods from Computational Linguistics: LLMs to analyse social media ________________________________ From: Jobs at University of Leeds Research Fellow in Computational Climate Politics - ESLPO1099 Closing date: 24 Jun 2024 Grade: Grade 7 £37,099 to £44,263 p.a. https://jobs.leeds.ac.uk/Vacancy.aspx?ref=ESLPO1099 https://jobs.leeds.ac.uk/Upload/vacancies/files/43592/ESLPO1099%20Research%… Human Resources University of Leeds

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Call for Participation: The 2nd Shared Task on Multi-lingual Multi-task Information Retrieval
by Duygu Ataman 29 May '24

29 May '24

Call for Participation: The 2nd Shared Task on Multi-lingual Multi-task Information Retrieval Organized by the 4th Workshop on Multilingual Representation Learning In collocation with EMNLP 2024 Website: https://sigtyp.github.io/st2024-mrl.html With the advancement of language models accessing and processing tons of information in different formats and languages, it has become of great importance to be able to assess the capabilities to access and provide the right information useful to different audiences. Large language models (LLMs) continue to demonstrate outstanding performance in many applications that require competence in language understanding and generation, but this performance is especially prominent in English, where large amounts of public evaluation benchmarks for various downstream tasks are available and the extent to which language models can be reliably deployed in terms of different languages and domains are not still well established. In this new shared task we provide new high-quality annotations in a selected set of data-scarce and typologically-diverse languages that can be used in evaluation of multilingual LLMs in information retrieval tasks; including Named Entity Recognition (NER) and Reading Comprehension (RC), on test sets curated from articles on Wikipedia. The main objective of the shared task is to assess and understand the multilingual characteristics of the inference capability of multilingual LLMs in understanding and generating language based on logical, factual or causal relationships between knowledge contained over long contexts of text, especially under low-resource settings. Task and Evaluation Our task provides a multi-task evaluation format that assesses reading comprehension capabilities of language models in terms of two subtasks: named entity recognition and question answering. Named Entity Recognition (NER) is a classification task that identifies phrases in a text that refer to entities or predefined categories (such as dates, person, organization and location names) and it is an important capability for information access systems that perform entity look-ups for knowledge verification, spell-checking or localization applications. The objective of the system is to tag the named entities in a given text as person (PER), organization (ORG), location (LOC), and date (DATE) (Our tag set uses $$ as delimiter). Question answering (QA) is an important capability that enables responding to natural language questions with answers found in text. Here we focus on the information-seeking scenario where questions can be asked without knowing the answer—it is the system’s job to locate a suitable answer passage (if any). The information-seeking question-answer pairs tend to exhibit less lexical and morphosyntactic overlap between the question and answer since they are written separately, which is a more suitable setting to evaluate typologically-diverse languages. Here, the system is given a question, title, and a passage and the system must pick the right answer among a list of 4 different potential options. We evaluate model performance in the generative task terms of the accuracy in the multi-choice answering task, and the F1 accuracy in the NER task. We obtain a final score by averaging the scores of QA and NER. Data and Languages Teams can use any resources relevant to the task. The test sets for official evaluation will be released one week before the submission date, and will be in the following languages: - Turkish - Uzbek - Indonesian - Alemannic - Yoruba - Igbo Important dates - June 15, 2024: Release of validation data - August 1, 2024: Release of test data - August 20, 2024: Deadline to release external data and resources used in systems - September 1, 2024: Deadline for submission of systems , and release of external data and resources used in systems. - September 20, 2024: Release of rankings and results - September 30, 2024: Deadline for submitting system description papers (All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”)) Organizers Duygu Ataman David Ifeoluwa Adelani Mammad Hajili Francesco Tinner Inder Khatri Shared Task Prize The winning team will receive an award of 500 USD and will be given a presentation during the workshop. -- Duygu Ataman, Ph.D. Assistant Professor/Faculty Fellow Courant Institute of Mathematical Sciences New York University www.duyguataman.com

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Final Call for Papers and Deadline Extension: 17th International Natural Language Generation Conference INLG 2024
by Saad Mahamood 29 May '24

29 May '24

*Final call for papers and deadline extension: 17th International Natural Language Generation Conference INLG 2024* We invite the submission of long and short papers, as well as system demonstrations, related to all aspects of Natural Language Generation (NLG), including data-to-text, concept-to-text, text-to-text and vision-to-text approaches. Accepted papers will be presented as oral talks or posters. The event is organized under the auspices of the Special Interest Group on Natural Language Generation (SIGGEN) (https://aclweb.org/aclwiki/SIGGEN) of the Association for Computational Linguistics (ACL) (https://aclweb.org/). The event will be held from 23-27 September in Tokyo, Japan. INLG 2024 will be taking place after SIGDial 2024 (18-20 September) nearby in Kyoto. **Important dates** All deadlines are Anywhere on Earth (UTC-12) • START system regular paper submission deadline: *New* June 7, 2024 (Previously: May 31, 2024) • ARR commitment to INLG deadline via START system: June 24, 2024 • START system demo paper submission deadline: June 24, 2024 • Notification: July 15, 2024 • Camera ready: August 16, 2024 • Conference: 23-27 September 2024 **Topics** INLG 2024 solicits papers on any topic related to NLG. General topics of interest include, but are not limited to: • Large Language Models (LLMs) for NLG • Affect/emotion generation • Analysis and detection of automatically generated text • Bias and fairness in NLG systems • Cognitive modelling of language production • Computational efficiency of NLG models • Content and text planning • Corpora and resources for NLG • Ethical considerations of NLG • Evaluation and error analysis of NLG systems • Explainability and Trustworthiness of NLG systems • Generalizability of NLG systems • Grounded language generation • Lexicalisation • Multimedia and multimodality in generation • Natural language understanding techniques for NLG • NLG and accessibility • NLG in speech synthesis and spoken language models • NLG in dialogue • NLG for human-robot interaction • NLG for low-resourced languages • NLG for real-world applications • Paraphrasing, summarization and translation • Personalisation and variation in text • Referring expression generation • Storytelling and narrative generation • Surface realization • System architectures **Submissions & Format** Three kinds of papers can be submitted: • Long papers are most appropriate for presenting substantial research results and must not exceed eight (8) pages of content, plus unlimited pages of ethical considerations, supplementary material statements, and references. The supplementary material statement provides detailed descriptions to support the reproduction of the results presented in the paper (see below for details). The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. • Short papers are more appropriate for presenting an ongoing research effort and must not exceed four (4) pages, plus unlimited pages of ethical considerations, supplementary material statements, and references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. • Demo papers should be no more than two (2) pages, including references, and should describe implemented systems relevant to the NLG community. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during INLG 2024. Submissions should follow ACL Author Guidelines (https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines) and policies for submission, review and citation, and be anonymised for double blind reviewing. Please use ACL 2023 style files; LaTeX style files and Microsoft Word templates are available at: https://acl-org.github.io/ACLPUB/formatting.html Authors must honor the ethical code set out in the ACL Code of Ethics (https://www.aclweb.org/portal/content/acl-code-ethics). If your work raises any ethical issues, you should include an explicit discussion of those issues. This will also be taken into account in the review process. You may find the following checklist of use: https://aclrollingreview.org/responsibleNLPresearch/ Authors are strongly encouraged to ensure that their work is reproducible; see, e.g., the following reproducibility checklist (https://2021.aclweb.org/calls/reproducibility-checklist/). Papers involving any kind of experimental results (human judgments, system outputs, etc) should incorporate a data availability statement into their paper. Authors are asked to indicate whether the data is made publicly available. If the data is not made available, authors should provide a brief explanation why. (E.g. because the data contains proprietary information.) A statement guide is available on the INLG 2024 website: https://inlg2024.github.io/ To submit a long or short paper to INLG 2024, authors can either submit directly or commit a paper previously reviewed by ARR via the same paper submission site (https://softconf.com/n/inlg2024/). For direct submissions, the deadline for submitting papers is June 7, 2024, 11:59:59 AOE. If committing an ARR paper to INLG, the submission is also made through the INLG 2024 paper submission site, indicating the link of the paper on OpenReview. The deadline for committing an ARR paper to INLG is June 24, 2024, 11:59:59 AOE, and the last eligible ARR paper submission deadline for INLG 2024 is May 24, 2024. It is important to note that when committing an ARR paper to INLG, it should be submitted through the INLG 2024 paper submission site, just like a direct submission paper, with the only difference being the need to provide the OpenReview link to the paper and to provide an optional author response to reviews. Demo papers should be submitted directly through the INLG 2024 paper submission site (https://softconf.com/n/inlg2024/) by June 24, 2024, 11:59:59 AOE. All accepted papers will be published in the INLG 2024 proceedings and included in the ACL anthology. A paper accepted for presentation at INLG 2024 must not have been presented at any other meeting with publicly available proceedings. Dual submission to other conferences is permitted, provided that authors clearly indicate this in the submission form. If the paper is accepted at both venues, the authors will need to choose which venue to present at, since they can not present the same paper twice. Finally, at least one of the authors of an accepted paper must register to attend the conference. **Awards** INLG 2024 will present several awards to recognize outstanding achievements in the field. These awards are: • Best Long Paper Award: This award will be given to the best long paper submission based on its originality, impact, and contribution to the field of NLG. • Best Short Paper Award: This award will be given to the best short paper submission based on its originality, impact, and contribution to the field of NLG. • Best Demo Paper Award: This award will recognize the best demo paper submitted to the conference. This award considers not only the paper's quality but also the demonstration given at the conference. The demonstration will play a significant role in the judging process. • Best Evaluation Award: The award is a new addition to INLG 2024. This award is designed to honor authors who have demonstrated the most comprehensive and insightful analysis in evaluating their results. This award aims to highlight papers where the authors have gone the extra mile in providing a thorough and detailed analysis of their results, offering a nuanced understanding of their findings.

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CFW: Call for Workshop Proposals COLING 2025 (extended for two weeks) - New Deadline is June 14, 2024 (correction)
by sakhar＠cs.columbia.edu 29 May '24

29 May '24

Correction of the subject for the previous announcement. Apologies. Dear colleagues, This is an announcement that the Workshop Proposal submission has been extended for two weeks. The new due date is June 14, 2024.

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CFW: Call for Workshop Proposals COLING 2025 (extended for two weeks) - New Deadline is May 31, 2024
by sakhar＠cs.columbia.edu 29 May '24

29 May '24

Dear colleagues, This is an announcement that the Workshop Proposal submission has been extended for two weeks. The new due date is June 14, 2024.

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[CFP] ACL 2024 Workshop on Knowledge Graphs and LLMs (KaLLM)
by russa biswas 29 May '24

29 May '24

Dear colleagues, Apologies for cross-posting. *FINAL CALL FOR PAPERS* We want to invite you to submit the unpublished results of your research on Knowledge Graphs and Large Language Models to: *The 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM)*, to be held on *August 15, 2024*, co-located with *ACL 2024*, Bangkok, Thailand. Call for Participation *Submission Deadline: May 30, 2024 at 23:59, UTC -12h, AoE* *Website*: https://kallmworkshop.github.io/kallm2024/ *Contact email*: kallmworkshop2024(a)googlegroups.com The workshop intends to provide a platform for researchers, practitioners, and industry professionals to explore the synergies between LLMs and KGs. We aim to provide a space for the LLM community and the community of KG researchers to interact and explore how these two communities could collaborate and support one another. *Submission Guidelines:* Papers must be submitted in PDF format using the official ACL template. More details are available on the website. *Scope of the workshop:* KaLLM invites quality research contributions as short or long papers and resource papers. All submissions will undergo a double-blind review process, and accepted submissions will be presented at the workshop. The submissions should focus on the interaction between LLMs and KGs in the context of NLP. The workshop will cover a diverse range of topics related to the integration of LLMs and KGs, including but not limited to: - Knowledge-enhanced language generation - KG-based question answering using LLMs - Fact validation and bias mitigation - KG creation and completion using LLMs - Privacy considerations in LLM-KG integration - Interpretability and explainability - Cross-domain applications - KG-based text summarisation with LLMs - Ethical implications of LLM-KG technologies - Multimodality of KGs and LLMs - Multilingual LLMs for KGs and vice-versa We look forward to receiving your submissions and having your valuable contribution to the success of the workshop. If you have any questions or require further information, please do not hesitate to contact us at kallmworkshop2024(a)googlegroups.com or visit https://kallmworkshop.github.io/kallm2024/. Thank you and best regards, Workshop Organisers Russa Biswas, Hasso Plattner Institute, Germany Lucie Aimée Kaffee, Hugging Face Oshin Agarwal, Bloomberg, USA Pasquale Minervini, University of Edinburgh, UK Sameer Singh, University of California, Irvine, USA Gerard de Melo, Hasso Plattner Institute, University of Potsdam, Germany

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Last CfP: FEL2024, The XXVIIIth Annual Conference of the Foundation for Endangered Languages, 25-27 September 2024
by Steven Krauwer 28 May '24

28 May '24

LAST CALL FOR PAPERS -- DEADLINE IS 31 MAY! =========================================== The Foundation for Endangered Languages (FEL) and the Forum for Language Initiatives (FLI), in collaboration with Allama Iqbal Open University Islamabad will hold the 28th Annual Conference - FEL XXVIII in Islamabad, Pakistan, 25 – 27 September 2024 Main theme of the conference: Endangered Languages and Oral Traditions. Conference topics include, but are not limited to: 1. Endangered oral literatures: heritage preservation (music, poetry, mushaira, contests...) 2. Oral cultures and traditional knowledge 3. Documentation and digitalization of oral art and literature 4. Language policy, planning, and oral art 5. Oral art and mother tongue education 6. Mother-tongue education policies: oral art and literature 7. Rediscovering oral traditions and expressions 8. Oral Traditions as vehicle for transmission of culture and language The main focus of the conference will be on the dynamic relationship between language endangerment and the role of oral traditions and expressions in safeguarding them. While it has a universal scope, it specifically aims to highlight interesting and creative oral traditions and expressions of the indigenous communities of Pakistan and encourage scholarship and accounts of community initiatives for preserving and promoting them. Studies highlighting the oral traditions of indigenous communities from anywhere are welcome. Abstracts in PDF of 600 - 800 words are invited for submission on EasyChair at this address: https://easychair.org/conferences/?conf=felxxviii2024 by the deadline of 31 May 2024 at 23:59 GMT Abstracts received after this deadline will not be reviewed. If you have already submitted your abstract and want to use the extra time to make it even better you can just go to EasyChair and update the earlier version! Important Dates ▪ 31 May 2024: Deadline for submission of abstract - NEW DEADLINE ▪ 21 June 2024: Selected applicants informed ▪ 31 July 2024: Deadline for extended version of accepted abstract ▪ 25-27 September 2024: Conference dates ▪ 28 September: Excursion to a local community Conference website: https://fli-online.org/site/conference-of-the-foundation-for-endangered-lan… For more information please contact: felconf2024.islamabad(a)gmail.com -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Utrecht, NL, s.krauwer(a)uu.nl

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Call for Papers: IWCLUL 2024 in Helsinki
by Mika Hämäläinen 28 May '24

28 May '24

The 9th International Workshop on Computational Linguistics for Uralic Languages (IWCLUL 2024) will be organized by ACL SIGUR. The proceedings of the event will be published in the ACL anthology. The workshop will take place in November 28-29, 2024 in Helsinki, Finland at Metropolia University of Applied Sciences. https://acl-sigur.github.io/iwclul2024.html Submission deadline: October 20, 2024 Registration/publication fees: 0€! We solicit original and unpublished work related to NLP methods for Uralic languages, including multilingual methods that include at least one Uralic language (e.g. Finnish, Estonian, Hungarian etc). Appropriate topics include (but are not limited to): - Multilingual approaches in NLP presenting work on at least one Uralic language - Parsers, analysers and processing pipelines of Uralic languages - Lexical databases, electronic dictionaries - Finished end-user applications aimed at Uralic languages, such as spelling or grammar checkers, machine translation or speech processing - Evaluation methods and gold standards, tagged corpora, treebanks - Reports on language-independent or unsupervised methods as applied to Uralic languages - Surveys and review articles on subjects related to computational linguistics for one or more Uralic languages - Any work that aims at combining efforts and reducing duplication of work - How to elicit activity from the language community, agitation campaigns, games with a purpose Short papers can be up to 4 pages in length (5 for camera-ready version). Short papers can report on work in progress or a more targeted contribution such as software or partial results. Long papers can be up to 8 pages in length (9 for camera-ready version). Long papers should report on previously unpublished, completed, original work. Lightning talks submitted as 750-word abstracts. Lightning talks are suited for discussing ideas or presenting work in progress. The abstracts will be published in a lightning proceedings on Zenodo. All submission formats can have an unlimited number of pages for references. All submissions must follow the ACL stylesheet. The submissions must be anonymous, and they will be peer-reviewed by our program committee. The peer review is double blinded. Papers must be submitted using the conference submission system by the deadline. At least one of the authors of an accepted paper must attend the event and present their paper. Accepted papers (short and long) will be published in the joint proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera-ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references. Important dates: - Paper submission (full and short): October 20, 2024 - Notification of acceptance: November 3, 2024 - Camera ready deadline: November 10, 2024 - Registration deadline: November 10, 2024 - Workshop: November 28-29, 2024

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Programming for Corpus Linguistics with Python and Dataframes
by Susan Hunston 28 May '24

28 May '24

Dear list members, I'm delighted to announce a new publication in the Cambridge Elements in Corpus Linguistics series. This publication is FREE to download until 10 June 2024 (see the link at the bottom of this email). Title: Programming for Corpus Linguistics with Python and Dataframes Author: Daniel Keller, Western Kentucky University Summary: This Element offers intermediate or experienced programmers algorithms for Corpus Linguistic (CL) programming in the Python language using dataframes that provide a fast, efficient, intuitive set of methods for working with large, complex datasets such as corpora. This Element demonstrates principles of dataframe programming applied to CL analyses, as well as complete algorithms for creating concordances; producing lists of collocates, keywords, and lexical bundles; and performing key feature analysis. An additional algorithm for creating dataframe corpora is presented including methods for tokenizing, part-of-speech tagging, and lemmatizing using spaCy. This Element provides a set of core skills that can be applied to a range of CL research questions, as well as to original analyses not possible with existing corpus software. The Element can be accessed using this link: https://doi.org/10.1017/9781108904094. Susan Hunston (she/her) Professor of English Language +44 121 414 5675 University of Birmingham Department of English Language and Linguistics www.birmingham.ac.uk

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