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Vacancy: Research Fellow in Clinical Natural Language Processing
by Bea Alex 10 Apr '24

10 Apr '24

The following Research Fellow position is available as part of the Edinburgh Clinical NLP Group and the Advanced Care Research Centre at the University of Edinburgh. The deadline is 19th of April 2024. https://www.jobs.ac.uk/job/DGS698/research-fellow-in-clinical-natural-langu… ---------------------------------------------------------------- Dr. Beatrice Alex Senior Lecturer and Chancellor’s Fellow University of Edinburgh Head of the Edinburgh Language Technology Group Co-lead of the Edinburgh Clinical NLP Group The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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NER Shared Task (Deadline 10 April)
by Mustafa Jarrar 09 Apr '24

09 Apr '24

Registration Deadline 10 April The 2nd Arabic Named Entity Recognition Shared Task, at ArabicNLP’24 https://dlnlp.ai/st/wojood/ Dataset: Wojood-Fine <https://aclanthology.org/2023.arabicnlp-1.25/> New version: Arabic Fine-Grained Entity Recognition (Wojood + Subtypes of entity types). Subtask-1 (Closed-Track Flat Fine-Grain NER): We provide the Wojood-Fine Flat train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%). External data is not allowed .... (read more <https://dlnlp.ai/st/wojood/>). Subtask-2 (Closed-Track Nested Fine-Grain NER): This subtask is similar to the subtask-1, we provide the Wojood-Fine Nested train (70%) and development (10%) datasets. The final evaluation will be on the test set (20%) .... (read more <https://dlnlp.ai/st/wojood/>). Subtask-3 (Open-Track NER - Gaza War): to allow participants to reflect on the utility of NER in the context of real-world events, allow them to use external resources, and encourage them to use generative models in different ways (fine-tuned, zero-shot learning, in-context learning, etc.). The goal of focusing on generative models in this particular subtask is to help the Arabic NLP research community better understand the capabilities and performance gaps of LLMs in information extraction, an area currently understudied. We provide development and test data related to the current War on Gaza. This is motivated by the assumption that discourse about recent global events will involve mentions from different data distribution. For this subtask, we include data from five different news domains related to the War on Gaza - but we keep the names of the domains hidden. Participants will be given a development dataset (10K tokens, 2K from each of the five domains), and a testing dataset (50K tokens, 10K from each domain). Both development and testing sets are manually annotated with fine-grain named entities using the same annotation guidelines used in Subtask1 and Subtask2 (also described in Liqreina et al., 2023). .... (read more <https://dlnlp.ai/st/wojood/>). BASELINES Two baseline models trained on WojoodFine (flat and nested) are provided (See Liqreina et al., 2023 <https://aclanthology.org/2023.arabicnlp-1.25/>). The code used to produce these baselines is available on GitHub <https://github.com/SinaLab/ArabicNER>. Subtask Precision Recall Average Micro-F1 Flat Fine-Grain NER (Subtask 1) 0.8870 0.8966 0.8917 Nested Fine-Grain NER (Subtask 2) 0.9179 0.9279 0.9229 GOOGLE COLAB NOTEBOOKS To allow you to experiment with the baseline, we authored four Google Colab notebooks that demonstrate how to train and evaluate our baseline models. [1] Train Flat Fine-Grain NER <https://gist.github.com/mohammedkhalilia/72c3261734d7715094089bdf4de74b4a>: This notebook can be used to train our ArabicNER model on the flat Fine-grain NER task using the sample Wojood_Fine data. [2] Evaluate Flat Fine-Grain NER <https://gist.github.com/mohammedkhalilia/c807eb1ccb15416b187c32a362001665>: This notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. [3] Train Nested Fine-Grain NER <https://gist.github.com/mohammedkhalilia/a4d83d4e43682d1efcdf299d41beb3da>: This notebook can be used to train our ArabicNER model on the nested Fine-grain task using the sample Wojood data. [4] Evaluate Nested Fine-Grain NER <https://gist.github.com/mohammedkhalilia/9134510aa2684464f57de7934c97138b>: This notebook will use the trained model saved from the notebook above to perform evaluation on unseen dataset. REGISTRATION Participants need to register via this form (NERSharedTask 2024) <https://docs.google.com/forms/d/1ISMILgQYfUug3XuDpxFmuPASXkWaduYOUc3xOZuGwq…>. Participating teams will be provided with common training development datasets. No external manually labelled datasets are allowed. Blind test data set will be used to evaluate the output of the participating teams. Each team is allowed a maximum of 3 submissions. All teams are required to report on the development and test sets (after results are announced) in their write-ups. FAQ For any questions related to this task, please check our Frequently Asked Questions <https://docs.google.com/document/d/1W_13FRpP3NbDx_ALYJWA3-ESXPRVomOjNovUuYf…> IMPORTANT DATES - February 25, 2024: Shared task announcement. - March 1, 2024: Release of training data, development sets, scoring script, and Codalab links. - April 10, 2024: Registration deadline. - April 26, 2024: Test set made available. - May 3, 2024: Codalab Test system submission deadline. - May 10, 2024: Shared task system paper submissions due. - June 17, 2024: Notification of acceptance. - July 1, 2024: Camera-ready version. - August 16, 2024: ArabicNLP 2024 conference in Thailand. CONTACT For any questions related to this task, please contact the organizers directly using the following email address: NERSharedtask(a)gmail.com <mailto:NERSharedtask@gmail.com> .

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NLP postdoc position at Boston University (first deadline 4/15)
by Najoung Kim 09 Apr '24

09 Apr '24

(Re-sending due to the initial attempt bouncing, apologies in advance if you receive multiple copies!) Professor and co-principal investigator Najoung Kim <https://najoung.kim/>of the Boston University Department of Linguistics <https://ling.bu.edu/> (with active affiliations in Computer Science <https://www.bu.edu/cs/>and Data Science <https://www.bu.edu/cds-faculty/>) is seeking a Postdoctoral Associate to join the Professor's TIN Lab in Fall 2024. The successful applicant will have a background in one of the following disciplines: Artificial Intelligence, Natural Language Processing, Computational Linguistics, Cognitive Science, or other relevant areas. The postdoctoral associate will work closely with the PIs (Najoung Kim, Boston University & Sebastian Schuster, UCL) and will be responsible for co-leading a collaborative research project minimally involving two PhD-level graduate students. *Responsibilities* The postdoctoral associate’s primary responsibility is to lead a research project, the aim of which is to develop detailed evaluation protocols for AI technology applied to a consequential task of real-world complexity—specifically, AI in the domain of academic AI research—and to apply this evaluation to estimate the capacities of the current best models. We expect there to be a substantial system development component (for building the baselines) as well as a substantial human study design component (for a rigorous evaluation of the system outputs), where different expertise can be contributed by different members of the research team (minimally, two PIs, the postdoctoral associate, and two PhD-level graduate students). The postdoctoral associate is also invited to engage with the broader academic community at BU, spanning Linguistics, Computer Science, and the Center for Computing & Data Sciences, and academic communities in Boston and New England. There will also be regular opportunities to connect with the community at UCL. *Qualifications* The postdoctoral associate needs to hold a PhD degree at the start of their appointment. Hands-on experience in either: (1) building systems that use language models as a core component to solve complex tasks, or (2) leading human annotation efforts or human behavioral experiments is required. Publications or prior research experience in one of the following topic areas are desired, but not required: - Compositional generalization - Data-efficient training methods (e.g., BabyLM-scale) - Language model evaluation - General-purpose prompting techniques *Location* The postdoctoral associate will be based in Boston University. They will be physically located in one of the office spaces in 621 Commonwealth Avenue or 665 Commonwealth Avenue, subject to space availabilities. *Duration* This is a one-year position with the base expectation that it will renew for a second year, conditioned on satisfactory progress. *Compensation* The 12-month compensation for this position will be $90K-100K USD, commensurate with experience. *Application* Candidates must submit a CV, two pieces of their most significant research contribution, and contacts of two references at the time of application. We will only contact the reference writers for letters of recommendation when we decide to interview the candidate. Application materials should be uploaded as individual PDF files through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/27426. We will give full consideration to applications received by April 15, 2024: two weeks from the job posting date. Afterwards, applications will be considered on a rolling basis until the position is filled. Inquiries should be directed to najoung(a)bu.edu and s.schuster(a)ucl.ac.uk. -- Najoung Kim Assistant Professor Department of Linguistics & Computer Science, Boston University https://najoung.kim 🍪

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Second CfP: Fifth Workshop on "Gender Bias in Natural Language Processing", August 16, Thailand, ACL
by Agnieszka Falenska 09 Apr '24

09 Apr '24

*Apologies for cross-posting* Fifth Workshop on Gender Bias in Natural Language Processing Bangkok, Thailand, on August 16, 2024 https://genderbiasnlp.talp.cat/ <https://kemt2024.wixsite.com/home> Second Call for Papers Gender bias, among other demographic biases (e.g. race, nationality, religion), in machine-learned models is of increasing interest to the scientific community and industry. Models of natural language are highly affected by such biases, which are present in widely used products and can lead to poor user experiences. There is a growing body of research into improved representations of gender in NLP models. Key example approaches are to build and use balanced training and evaluation datasets (e.g. Webster et al., 2018), and to change the learning algorithms themselves (e.g. Bolukbasi et al., 2016). While these approaches show promising results, there is more to do to solve identified and future bias issues. In order to make progress as a field, we need to create widespread awareness of bias and a consensus on how to work against it, for instance by developing standard tasks and metrics. Our workshop provides a forum to achieve this goal. Topics of interest We invite submissions of technical work exploring the detection, measurement, and mediation of gender bias in NLP models and applications. Other important topics are the creation of datasets, identifying and assessing relevant biases or focusing on fairness in NLP systems. Finally, the workshop is also open to non-technical work addressing sociological perspectives, and we strongly encourage critical reflections on the sources and implications of bias throughout all types of work. In addition this year we are organising a Shared Task on Gender Bias Machine Translation evaluation. Paper Submission Information Submissions will be accepted as short papers (4-6 pages) and as long papers (8-10 pages), plus additional pages for references, following the ACL 2024 guidelines. Supplementary material can be added, but should not be central to the argument of the paper. Blind submission is required. Each paper should include a statement which explicitly defines (a) what system behaviors are considered as bias in the work and (b) why those behaviors are harmful, in what ways, and to whom (cf. Blodgett et al. (2020)). More information on this requirement, which was successfully introduced at GeBNLP 2020, can be found on the workshop website. We also encourage authors to engage with definitions of bias and other relevant concepts such as prejudice, harm, discrimination from outside NLP, especially from social sciences and normative ethics, in this statement and in their work in general. Non-archival option The authors have the option of submitting research as non-archival, meaning that the paper will not be published in the conference proceedings. We expect these submissions to describe the same quality of work and format as archival submissions. Important dates. May 10, 2024: Workshop Paper Due Date June 5, 2024: Notification of Acceptance June 25, 2024: Camera-ready papers due August 16, 2024: Workshop Dates Keynote Speakers. Isabelle Augenstein, University of Copenhagen Hal Daumé III, University of Maryland and Microsoft Research NYC Organizers. Christine Basta, Alexandria University Marta R. Costa-jussà, FAIR, Meta, Agnieszka Falénska, University of Stuttgart Seraphina Goldfarb-Tarrant, Cohere Debora Nozza, Bocconi University

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Call for Participation: Announcing New DFIR 6, 7 & 8 Streams
by Andrew Zayine 08 Apr '24

08 Apr '24

Dear All, The Association of Cyber Forensics and Threat Investigators invites you to join our next webinars: "DFIR Stream 0x6" on Tuesday, April 16 · 4:00 – 5:00 pm (GMT+00:00) UK Time Title: Operationalizing Machine Learning for Networks, by Shinan Liu, University of Chicago. Register@ https://www.acfti.org/news-events/dfir-stream-0x6 "DFIR Stream 0x7" on Tuesday, May 7. 1:30 – 2:30 pm (GMT+00:00) UK Time Title: Malware Detection in Memory Forensics: Open Challenges and Issues, by Dr. Ricardo J. Rodríguez, University of Zaragoza. Register@ https://www.acfti.org/news-events/dfir-stream-0x7 "DFIR Stream 0x8" on Monday, May 13 · 4:00 – 5:00 pm (GMT+00:00) UK Time Title: Low-Level Hardware Information Assisted Approach Towards System Security, by Dr. Chen Liu, Clarkson University. Register@ https://www.acfti.org/news-events/dfir-stream-0x8 ======Housekeeping Notes====== - Note that this event is online only. Hence, You must register to receive a link to connect. Due to limited availability, we kindly ask you to register as soon as possible to ensure your participation in the webinar of your choice. - For Students, A certificate of successful participation in the event will be delivered upon request for free (after verifying attendance), indicating the number of hours of the seminar (please make sure that you add the correct name in the registration form). This should be sufficient for those participants who plan to request ECTS recognition from their home university. Join Us & stay tuned! #CyberSecurity #MemoryForensics #MachineLearning #AnomalyDetection Finally, I would like to remind you that the call for speakers is currently open on the dedicated DFIR stream website, https://dfir.stream/call-for-guest-speakers To get more news about our events, please join our low-traffic announcement group @ https://groups.google.com/g/acfti This event is brought to you by CFTIRC (Cyber Forensics & Threat Investigations Research Community). Best regards, Andrew Zayin Ph.D., CISSP, CISM, CRISC, CDPSE, PMP ACFTI Secretariat

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CLiC-it 2024 - Tenth Italian Conference on Computational Linguistics - First CFP
by Simonetta Montemagni 08 Apr '24

08 Apr '24

[Apologies for multiple postings] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *CLiC-it 2024 - Tenth Italian Conference on Computational Linguistics* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 4 - 6 December 2024, Pisa, Italy Conference Announcement and First Call for Papers https://clic2024.ilc.cnr.it/ <https://clic2024.ilc.cnr.it/> This year marks the 10th anniversary of the Italian Conference on Computational Linguistics, CLiC-it! To commemorate this milestone, CLiC-it will be hosted in Pisa, just as it was in 2014. Over the years, CLiC-it has evolved into an important forum for the Italian community of researchers in Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it aims to promote and disseminate high-quality, original research covering different aspects of automatic language processing, involving both written and spoken language. Furthermore, it seeks to showcase cutting-edge theoretical findings, experimental methodologies, technologies, and application perspectives. The spirit of the conference is inclusive. Recognizing the multifaceted nature of language phenomena and the need for interdisciplinary expertise, CLiC-it aims to bring together researchers from different fields including Computational Linguistics and Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it welcomes contributions focusing on all languages, with a particular emphasis on Italian. CLiC-it 2024 will be held in Pisa, from the 4th to the 6th of December. CLiC-it is organised by the Italian Association of Computational Linguistics (AILC -- http://www.ai-lc.it/ <http://www.ai-lc.it/>). Conference topics ----------------------------- CLiC-it 2024 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to (in alphabetical order): - Computational Historical Linguistics - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Generation - Handwritten Text Recognition - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Large Language Models - Linguistic Diversity - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilingualism and Cross-Lingual NLP - NLP Applications - NLP for the Humanities - Phonology, Morphology, and Word Segmentation - Pragmatics and Creativity - Question Answering - Resources and Evaluation - Semantics: Lexical, Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing Paper Submission ----------------------- Submitted papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. CLiC-it 2024 allows for a multiple submission policy. In case of acceptance of the paper in other venues, the authors must communicate this information to the CLiC-it 2024 Chairs as soon as possible. Papers may consist of up to five (5) pages of content, plus unlimited pages of acknowledgments, references and appendices. Upon acceptance, final versions of papers will be given one additional page of content, so that reviewers’ comments can be taken into account. Papers will be evaluated according to the following criteria: - soundness of approach - relevance to computational linguistics - novelty and clarity of relation with related work - quality of presentation - quality of evaluation (if applicable) - verifiability and ability to replicate (if applicable) Papers can be either in English or Italian, with the abstract in English. Accepted papers will be published on-line and will be presented at the conference either orally or as a poster. Reviewing will NOT be blind, so there is no need to remove author information from manuscripts. Information about the paper format and the conference management system to be used for submission will be notified in the second Call for Papers. Research Communications ---------------------------------- CLiC-it 2024 adopts a parallel submission policy for outstanding papers accepted in 2023 by major publication venues, namely the major international CL conferences (workshops excluded) or international journals. These contributions can be submitted to CLiC-it 2024 as short research communications. Research communications will not be published in the conference proceedings, they serve primarily to promote the dissemination of high-quality research within the Italian CL community. Submitted research communications must be in the scope of the CLiC-it 2024 conference. The authors of papers that meet the above criteria are invited to submit a written (maximum) one-page abstract of the original paper, including the paper’s title and authors as well as a pointer to the original conference or journal where the paper was published. If needed, research communications will undergo a selection process overseen by the conference chairs. Since these papers have already been reviewed, the selection criteria will primarily consider their original publication venue. Priority will be granted to papers that align most closely with the conference program, ensuring a balanced representation across various conference topics. Awards --------- To acknowledge the contribution of young researchers to the field, the title of "best paper" will be awarded to outstanding papers, provided that a Master's or PhD student is among the authors and presents the work at the conference. Recipients of this award will be invited to submit an extended version of their papers to the Italian Journal of Computational Linguistics (IJCoL). To recognise excellence in student research as well as promote awareness of our field, AILC is also conferring the “Emanuele Pianta” prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics submitted at an Italian University. The prize consists of 500 Euros plus free membership to AILC for one year and free registration to the upcoming CLiC-it. The complete call is available on the conference website at: “Calls > AILC Master Thesis Award”. Important Dates --------------- - 15/07/2024: Paper submission deadline: regular papers and research communications - 23/09/2024: Notification to authors of reviewing/selection outcome - 21/10/2024: Camera ready version of accepted papers - 4-6/12/2024: CLiC-it 2024 Conference, Pisa Conference Chairs ------ - Felice Dell’Orletta (CNR-ILC) - Alessandro Lenci (Università di Pisa) - Simonetta Montemagni (CNR-ILC) - Rachele Sprugnoli (Università di Parma) Further information ------------------- Conference website: https://clic2024.ilc.cnr.it/ <https://clic2024.ilc.cnr.it/> Mail: clicit2024(a)gmail.com <mailto:clicit2024@gmail.com> -- Simonetta Montemagni Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC) - CNR Area della Ricerca di Pisa Via Moruzzi 1, 56124 Pisa, ITALY e-mailsimonetta.montemagni(a)ilc.cnr.it direct tel. no +39 050 3152850 fax no. +39 050 3152839 cell. +39 349 7656651

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GITT-2024 at EAMT 2024 - SUBMISSION DATE EXTENDED to April 22
by bsavoldi＠fbk.eu 08 Apr '24

08 Apr '24

Second International Workshop on Gender-Inclusive Translation Technologies (GITT) at EAMT 2024 27 June 2024, Sheffield, UK https://sites.google.com/tilburguniversity.edu/gitt2024 @GITT2024 Paper SUBMISSION DEADLINE EXTENDED We extend the GITT submission deadline by one week in line with the updated dates and deadlines of the EAMT main conference Important Dates (Time zone: Anywhere on Earth) EXTENDED Submission deadline: 22 April, 2024 Notification of Acceptance: 15 May, 2024 Camera Ready Copy due: 24 May, 2024 Workshop: 27 June, 2024 Aim and scope The Gender-Inclusive Translation Technologies Workshop (GITT) is set out to be the only dedicated workshop that focuses on gender-inclusive language in translation and cross-lingual scenarios. The workshop aims to bring together researchers from diverse areas, including industry partners, MT practitioners, and language professionals. GITT aims to encourage multidisciplinary research that develops and interrogates both solutions and challenges for addressing bias and promoting gender inclusivity in MT and translation tools, including LLMs applications for the translation task. Topics GITT invites technical as well as non-technical submissions, which consist of experimental, theoretical or methodological contributions. We explicitly welcome interdisciplinary submissions and submissions that focus on innovative, non-binary linguistic strategies and/or with sociolinguistically-informed perspectives. The topics of interest include, but are not limited to: - Models or methods for assessing and mitigating gender bias - New resources for inclusive language and gender translation (e.g., datasets, translation memories, dictionaries) - Social, cross-lingual, and ethical implications of gender bias - Qualitative and quantitative analyses on the potential limits of current approaches to gender bias in translation and MT, error taxonomies as well as best practices and guidelines - User-centric case studies on the impact of biased language and/or mitigating approaches which can include translators, post-editors, or monolingual MT users GITT is also open to other non-listed topics aligned with the scope of the workshop and works focusing on non-textual modalities (e.g., audiovisual translation) Submission We welcome three types of submissions: - Research papers: of at least 4 up to 10 pages (including references) - Extended Abstracts: up to 2 pages (including references) Accepted papers and extended abstracts consisting of novel work will be published online as proceedings in the ACL Anthology. - Research Communications: up to 2 pages (including reference) We include a parallel submission policy for papers accepted in other venues in 2023 and 2024. Research communications will not be included in the proceedings, but will serve to promote the dissemination of research aligned with the scope of the workshop. Submissions should adhere to the EAMT 2024 guidelines and style templates (PDF, LaTeX, Word) and be uploaded on OpenReview: https://openreview.net/group?id=EAMT.org/2024/Workshop/GITT Workshop organizers Beatrice Savoldi, Fondazione Bruno Kessler Janiça Hackenbuchner, University of Ghent Luisa Bentivogli, Fondazione Bruno Kessler Eva Vanmassenhove, University of Tilburg Joke Daems, University of Ghent Jasmijn Bastings, Google DeepMind

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Third call for participation - MentalRiskES@IberLEF2024: Early detection of mental
by María Dolores Molina González 08 Apr '24

08 Apr '24

*Test* *set* *released**!* Please, consider participating and/or forwarding to colleagues and groups. ****We apologize for multiple postings of this e-mail**** ------------------------------------------------------------------------------ MentalRiskES at IberLEF 2024: Call for Participation Website: https://sites.google.com/view/mentalriskes2024 ------------------------------------------------------------------------------- MentalRiskEs describes the second edition of a novel task on early risk identification of mental disorders in Spanish comments from social media sources. The first edition took place last year in the IberLEF evaluation forum as part of the SEPLN 2023. The task was resolved as an online problem, that is, the participants had to detect a potential risk as early as possible in a continuous stream of data. Therefore, the performance not only depended on the accuracy of the systems but also on how fast the problem was detected. These dynamics are reflected in the design of the tasks and the metrics used to evaluate participants. For this second edition, we propose three novel tasks, the first subtask is about the detection of the disorder, the second subtask consists of detecting the context that may be associated with the disorder, and the third subtask is about suicidal ideation detection. We would like to invite you to participate in the following tasks: 1. Disorders detection (multi-class classification) 2. Disorder contextualization (fine-grained classification) 3. Suicidal ideation detection (binary classification) Find out more at https://sites.google.com/view/mentalriskes2024. MentalRiskES 2024 is part of the IberLEF Workshop and will be held in conjunction with the SEPLN 2024 conference in Valladolid (Spain). ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Feb 16th Registration open Feb 21st Release of trial corpora (trial server available) Mar 20th Release of training corpora Mar 29th Registration closed *Apr 8th Release of test corpora and start of the evaluation campaign (test server available and trial submissions closed)* Apr 12th End of evaluation campaign (deadline for submission of runs) Apr 17th End of evaluation campaign (deadline for submission of runs) Apr 18th Publication of official results and release of test gold labels Apr 22th Publication of official results and release of test gold labels May 10th Deadline for paper submission May 31st Acceptance notification Jun 17th Camera-ready submission deadline July 11th Final camera-ready submission deadline (to IberLEF organisers) Please reach out to the organizers at MentalRiskEs@IberLEF2024. The MentalRiskES 2024 organizing committee. -- M. Dolores Molina González Mas informacion sobre listas de correo en la Univ. de Jaen http://www.ujaen.es/sci/redes/listas/ -----------------------------------------------------------

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Invitation to a Postdoctoral Fellowship Application at La Rochelle University
by Georgeta Bordea 08 Apr '24

08 Apr '24

The Images and Contents team [1] of the L3i lab at La Rochelle University, invites researchers who have or will have a PhD degree at the call deadline in September 2024 and fulfill the eligibility criteria to prepare a joint application for an EU-funded Marie Skłodowska-Curie Fellowship [2,3]. Potential topics can include current areas of NLP research such as: - Multimodal Large Language Models - Text processing of news archives - Using NLP for Cultural Heritage, Social Sciences, Humanities and Literature - Extraction, summarisation, and analysis of financial text - Information extraction for knowledge graph population - Using additional knowledge sources for information extraction from text - Reasoning with knowledge graphs and language Potential candidates should have published at top NLP or ML conferences (EMNLP,ACL,NAACL,EACL,NeurIPS,ICML,ICLR). Female candidates and candidates from other underrepresented groups in Computer Science are especially encouraged to apply. If you want to learn more, please send an email to Georgeta Bordea (name.surname [at] univ-lr.fr) with your CV attached and the subject line "MSCA NLP". [1] https://l3i.univ-larochelle.fr/Images-et-contenus [2] https://marie-sklodowska-curie-actions.ec.europa.eu/actions/postdoctoral-fe… [3] https://marie-sklodowska-curie-actions.ec.europa.eu/calls/msca-postdoctoral…

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[CFP] 3rd and Final Call for Participation - CLEF 2024 SimpleText Task4: SOTA? "Tracking the State-of-the-Art in Scholarly Publications"
by Jennifer D'Souza 08 Apr '24

08 Apr '24

[apologies if you receive multiple copies of this call] Dear colleagues and friends, *We are pleased to release the 3rd and final Call for Participation - CLEF 2024 SimpleText Task4: SOTA?* *Overview:* SOTA? is introduced as Task 4 in the SimpleText track of CLEF 2024. The goal of the SOTA? shared task is to develop systems which given the full text of an AI paper, are capable of recognizing whether an incoming AI paper indeed reports model scores on benchmark datasets, and if so, to extract all pertinent (Task, Dataset, Metric, Score) quadruples presented within the paper. More info on the task website: https://sites.google.com/view/simpletext-sota/home SOTA? will be divided into two evaluation phases: - Evaluation Phase 1: Few-shot Testing; - Evaluation Phase 2: Zero-shot Testing *To participate in SOTA? i.e. SimpleText Task 4 @ CLEF 2024, please register your team*: 1. CLEF 2024 official registration page https://clef2024.imag.fr/index.php?page=Pages/registration.html 2. Codalab competition site: https://codalab.lisn.upsaclay.fr/competitions/16616 Note, SOTA? is organized as a new task this year under the "SimpleText - Improving Access to Scientific Texts for Everyone" initiative https://simpletext-project.com/. Please take a look at the other 3 tasks, i.e. Task 1, 2, and 3, offered by SimpleText and select one or more of those task options too if you are interested. Note that there is no interdependence of the dataset between "Task 4 - SOTA?" and the other three tasks of SimpleText. *Dates* Training and validation datasets available: March 13, 2024 Test data available/Evaluation starts: April 23, 2024 Evaluation ends: May 3, 2024 Participant paper submissions due: May 31, 2024 Notification to authors: June 24, 2024 Camera ready due: July 8, 2024 CLEF 2024 Workshop, Grenoble, France: 9-12 September 2024 *Task Organizers* Jennifer D’Souza (TIB Leibniz Information Centre for Science and Technology - Germany) Salomon Kabongo (L3S Research Center, Germany) Hamed Babaei Giglou (TIB Leibniz Information Centre for Science and Technology - Germany) Yue Zhang (Berlin Technical University, Germany) Sören Auer (TIB Leibniz Information Centre for Science and Technology - Germany) *We look forward to having you on board!* *Contact:* sota.task [at] gmail.com

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