SIGUL March 2024

sigul@list.elra.info

8 participants
6 discussions

[CfP] SIGIR Workshop on Large Language Model for Evaluation in IR (LLM4EVAL)
by Guglielmo Faggioli 21 Mar '24

21 Mar '24

Overview The first workshop on evaluating IR systems with Large Language Models (LLMs) is accepting submissions that describe original research findings, preliminary research results, proposals for new work, and recent relevant studies already published in high-quality venues. The workshop will have both an in-person and virtual component, and submissions are welcome even for researchers who cannot attend in person, as they will present their work in the virtual component. Topics of interest We welcome both full papers and extended abstract submissions on the following topics, including but not limited to: - LLM-based evaluation metrics for traditional IR and generative IR. - Agreement between human and LLM labels. - Effectiveness and/or efficiency of LLMs to produce robust relevance labels. - Investigating LLM-based relevance estimators for potential systemic biases. - Automated evaluation of text generation systems. - End-to-end evaluation of Retrieval Augmented Generation systems. - Trustworthiness in the world of LLMs evaluation. - Prompt engineering in LLMs evaluation. - Effectiveness and/or efficiency of LLMs as ranking models. - LLMs in specific IR tasks such as personalized search, conversational search, and multimodal retrieval. - Challenges and future directions in LLM-based IR evaluation. Submission guidelines We welcome the following submissions: - Previously unpublished manuscripts will be accepted as extended abstracts and full papers (any length between 1 - 9 pages) with unlimited references, formatted according to the latest ACM SIG proceedings template available at http://www.acm.org/publications/proceedings-template. - Published manuscripts can be submitted in their original format. All submissions should be made through Easychair: https://easychair.org/conferences/?conf=llm4eval All papers will be peer-reviewed (single-blind) by the program committee and judged by their relevance to the workshop, especially to the main themes identified above, and their potential to generate discussion. For already published studies, the paper can be submitted in the original format. These submissions will be reviewed for their relevance to this workshop. All submissions must be in English (PDF format). Please note the workshop will have an in-person (to be held with SIGIR 2024) and virtual component (to be held at a later date on SIGIR VF). During submission, the authors should select their preferred component. All accepted papers will have a poster presentation with a few selected for spotlight talks. Accepted papers may be uploaded to arXiv.org, allowing submission elsewhere as they will be considered non-archival. The workshop’s website will maintain a link to the arXiv versions of the papers. Important Dates - Submission Deadline: April 25th, 2024 (AoE time) - Acceptance Notifications: May 31st, 2024 (AoE time) - Workshop date: July 18, 2024 Website and Contact More details are available at https://llm4eval.github.io/cfp/. For any questions about paper submission, you may contact the workshop organizers at llm4eval(a)easychair.org RispondiInoltra

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NeTTT’2024 Submission Deadline Extended to 30 April 2024
by t.ranasinghe＠aston.ac.uk 21 Mar '24

21 Mar '24

International Conference ‘New Trends in Translation and Technology’ (NeTTT’2024) Varna, Bulgaria, 3-6 July 2024 https://nettt-conference.com/ *** Submission Deadline Extended to 30 April 2024 *** # 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. Continuing the tradition of the first edition of the NeTTT conference and HiT-IT events series, 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 # Keynote speakers We are delighted to announce the NeTTT’2024 keynote speakers - Helena Moniz (University of Lisbon and Unbabel), President of the European Association of Machine Translation - Carla Parra Escartín (RWS Language Weaver) # Tutorial (3 July 2024) - Tharindu Ranasinghe (Aston University), Quality Estimation for Machine Translation # Programme Committee The Programme Committee of NeTTT’2024 is listed https://nettt-conference.com/26844-2/. # Conference Chairs - Ruslan Mitkov (Lancaster University) - Gloria Corpas Pastor (University of Malaga) # Programme Chairs - Constantin Orasan (University of Surrey) - Tharindu Ranasinghe (Aston University) # Sponsorship Chair - Vilelmini Sosoni (Ionian University) # Publication Chair - Maria Kunilovskaya (University of Saarland) # Organising Committee - Organising Committee of NeTTT’2024 is listed https://nettt-conference.com/organisers/ # 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: 30 April 2024 - Notification: 5 June 2024 - Final version due: 20 June 2024 All deadlines are valid for 23.59 Anywhere on Earth. # Registration Conference registration is open on https://nettt-conference.com/fees-registration/ The promotional early registration fee has been extended to 17 March 2024. # Venue The conference will take place at https://www.chernomorebg.com/en/conference-centre.html, Varna, situated only 200 m away from the fine sandy Black Sea beach. # Further information and contact details 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 Dr Tharindu Ranasinghe Lecturer in Computer Science School of Informatics and Digital Engineering Birmingham, B4 7ET, UK aston.ac.uk

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First Call for Shared Task Participation on Explainability for Cross-lingual Emotion: WASSA 2024 @ ACL
by Pranaydeep Singh 19 Mar '24

19 Mar '24

We invite you to participate in the shared task on Explainability of Cross-lingual Emotion Detection (EXALT), organized as part of WASSA 2024 at ACL 2024. The goal of this task is two-fold: developing highly performant models for cross-lingual emotion detection while also encouraging model explainability and interpretability. **Task Description** You can participate in three different tracks: * Track 1: Cross-Lingual Emotion Detection, which involves emotion classification with 5 labels with transfer from English to a multi-lingual test set that also includes French, Spanish, Dutch and Russian tweets. * Track 2: Trigger Word detection (binary), a task where participants have to identify which words in a text are most essential for expressing emotion. For this track, we treat trigger word detection as a binary classification task. * Track 3: Trigger Word detection (numerical), a task where participants have to identify which words in a text are most essential for expressing emotion. For this track, participants can provide numerical importance scores for each individual word. For more information, please refer to the web page: https://lt3.ugent.be/exalt/ The data is available through: https://codalab.lisn.upsaclay.fr/competitions/17730<https://codalab.lisn.upsaclay.fr/competitions/17730#learn_the_details-overv…> **Important Dates** * 15 February, 2024: first call for participation. Training and validation data released, CodaLab opens for team registrations. * 13 May, 2024: Evaluation period/phase begins (= test data released) * 15 May, 2024: Evaluation period/phase ends (= system submission deadline) * 17 May, 2024: Announcement of final results * 22 May, 2024: Submission of system description papers for review (we encourage participants to share models, code, fact sheets, extra data, etc. with the community through github or other repositories on paper publication.) * 22 June, 2024: Notification of Acceptance * 01 July, 2024: Camera-ready deadline * 15-16 August, 2024: Presentations of the systems at the WASSA 2024 workshop (Bangkok, Thailand) **Task Organizers** Aaron Maladry <https://lt3.ugent.be/people/aaron-maladry/>LT3, Ghent University Pranaydeep Singh <https://lt3.ugent.be/people/pranaydeep-singh/>LT3, Ghent University Els Lefever <https://lt3.ugent.be/people/els-lefever/>LT3, Ghent University **Contact** You can contact all organizers of the shared task at exalt-wassa2024(a)googlegroups.com<mailto:exalt-wassa2024@googlegroups.com>

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Third Call for Task Proposals: SemEval-2025
by Atul K. Ojha 17 Mar '24

17 Mar '24

We invite proposals for tasks to be run as part of SemEval-2025 <https://semeval.github.io/SemEval2025/>. SemEval (the International Workshop on Semantic Evaluation) is an ongoing series of evaluations of computational semantics systems, organized under the umbrella of SIGLEX <https://siglex.org/>, the Special Interest Group on the Lexicon of the Association for Computational Linguistics. SemEval tasks explore the nature of meaning in natural languages: how to characterize meaning and how to compute it. This is achieved in practical terms, using shared datasets and standardized evaluation metrics to quantify the strengths and weaknesses and possible solutions. SemEval tasks encompass a broad range of semantic topics from the lexical level to the discourse level, including word sense identification, semantic parsing, coreference resolution, and sentiment analysis, among others. For SemEval-2025 <https://semeval.github.io/SemEval2025/cft>, we welcome tasks that can test an automatic system for the semantic analysis of text (e.g., intrinsic semantic evaluation, or an application-oriented evaluation). We especially encourage tasks for languages other than English, cross-lingual tasks, and tasks that develop novel applications of computational semantics. See the websites of previous editions of SemEval to get an idea about the range of tasks explored, e.g. SemEval-2020 <http://alt.qcri.org/semeval2020/> and SemEval-2021-/2023/2024 <https://semeval.github.io/>. We strongly encourage proposals based on pilot studies that have already generated initial data, evaluation measures and baselines. In this way, we can avoid unforeseen challenges down the road which that may delay the task. For example, you may see this task proposal <https://semeval.github.io/semeval2024_shared_task6_proposals_template.pdf>as a sample. In case you are not sure whether a task is suitable for SemEval, please feel free to get in touch with the SemEval organizers at semevalorganizers(a)gmail.com to discuss your idea. === Task Selection === Task proposals will be reviewed by experts, and reviews will serve as the basis for acceptance decisions. Everything else being equal, more innovative new tasks will be given preference over task reruns. Task proposals will be evaluated on: - Novelty: Is the task on a compelling new problem that has not been explored much in the community? Is the task a rerun, but covering substantially new ground (new subtasks, new types of data, new languages, etc.)? - Interest: Is the proposed task likely to attract a sufficient number of participants? - Data: Are the plans for collecting data convincing? Will the resulting data be of high quality? Will annotations have meaningfully high inter-annotator agreements? Have all appropriate licenses for use and re-use of the data after the evaluation been secured? Have all international privacy concerns been addressed? Will the data annotation be ready on time? - Evaluation: Is the methodology for evaluation sound? Is the necessary infrastructure available or can it be built in time for the shared task? Will research inspired by this task be able to evaluate in the same manner and on the same data after the initial task? - Impact: What is the expected impact of the data in this task on future research beyond the SemEval Workshop? - Ethical: The data must be compliant with privacy policies. e.g. a) avoid personally identifiable information (PII). Tasks aimed at identifying specific people will not be accepted, b) avoid medical decision making (compliance with HIPAA, do not try to replace medical professionals, especially if it has anything to do with mental health) c) these are representative and not exhaustive === New Tasks vs. Task Reruns === We welcome both new tasks and task reruns. For a new task, the proposal should address whether the task would be able to attract participants. Preference will be given to novel tasks that have not received much attention yet. For reruns of previous shared tasks (whether or not the previous task was part of SemEval), the proposal should address the need for another iteration of the task. Valid reasons include: a new form of evaluation (e.g. a new evaluation metric, a new application-oriented scenario), new genres or domains (e.g. social media, domain-specific corpora), or a significant expansion in scale. We further discourage carrying over a previous task and just adding new subtasks, as this can lead to the accumulation of too many subtasks. Evaluating on a different dataset with the same task formulation, or evaluating on the same dataset with a different evaluation metric, typically should not be considered a separate subtask. === Task Organization === We welcome people who have never organized a SemEval task before, as well as those who have. Apart from providing a dataset, task organizers are expected to: - Verify the data annotations have sufficient inter-annotator agreement - Verify licenses for the data allow its use in the competition and afterwards. In particular, text that is publicly available online is not necessarily in the public domain; unless a license has been provided, the author retains all rights associated with their work, including copying, sharing and publishing. For more information, see: https://creativecommons.org/faq/#what-is-copyright-and-why-does-it-matter - Resolve any potential security, privacy, or ethical concerns about the data - Commit to make the data available after the task - Provide task participants with format checkers and standard scorers. - Provide task participants with baseline systems to use as a starting point (in order to lower the obstacles to participation). A baseline system typically contains code that reads the data, creates a baseline response (e.g. random guessing, majority class prediction), and outputs the evaluation results. Whenever possible, baseline systems should be written in widely used programming languages and/or should be implemented as a component for standard NLP pipelines. - Create a mailing list and website for the task and post all relevant information there. - Create a CodaLab or other similar competition for the task and upload the evaluation script. - Manage submissions on CodaLab or a similar competition site. - Write a task description paper to be included in SemEval proceedings, and present it at the workshop. - Manage participants’ submissions of system description papers, manage participants’ peer review of each others’ papers, and possibly shepherd papers that need additional help in improving the writing. - Review other task description papers. - Define Roles for each Organizer: - Lead Organizer - main point of contact, expected to ensure deliverables are met on time and participate in contributing to task duties (see below). - Co-Organizers - provide significant contributions to ensuring the task runs smoothly. Some examples include, maintaining communication with task participants, preparing data, creating and running evaluation scripts, and leading paper reviewing and acceptance. - Advisory Organizers - more of a supervisor role, may not contribute to detailed tasks but will provide guidance and support. === Important dates === - Task proposals due March 31, 2024 (Anywhere on Earth) - Task selection notification May 18, 2024 === Preliminary timetable === - Sample data ready July 15, 2024 - Training data ready September 1, 2024 - Evaluation data ready December 1, 2024 (internal deadline; not for public release) - Evaluation starts January 10, 2025 - Evaluation end by January 31, 2025 (latest date; task organizers may choose an earlier date) - Paper submission due February 2025 - Notification to authors on March 2025 - Camera-ready due April 2025 - SemEval workshop Summer 2025 (co-located with a major NLP conference) Tasks that fail to keep up with crucial deadlines (such as the dates for having the task and CodaLab website up and dates for uploading sample, training, and evaluation data) or that diverge significantly from the proposal may be cancelled at the discretion of SemEval organizers. While consideration will be given to extenuating circumstances, our goal is to provide sufficient time for the participants to develop strong and well-thought-out systems. Cancelled tasks will be encouraged to submit proposals for the subsequent year’s SemEval. To reduce the risk of tasks failing to meet the deadlines, we are unlikely to accept multiple tasks with overlap in the task organizers. === Submission Details === The task proposal should be a self-contained document of no longer than 3 pages (plus additional pages for references). All submissions must be in PDF format, following the ACL template <https://github.com/acl-org/acl-style-files>. Each proposal should contain the following: - Overview - Summary of the task - Why this task is needed and which communities would be interested in participating - Expected impact of the task - Data & Resources - How the training/testing data will be produced. Please discuss whether existing corpora will be re-used. - Details of copyright, so that the data can be used by the research community both during the SemEval evaluation and afterwards - How much data will be produced - How data quality will be ensured and evaluated - An example of what the data would look like - Resources required to produce the data and prepare the task for participants (annotation cost, annotation time, computation time, etc.) - Assessment of any concerns with respect to ethics, privacy, or security (e.g. personally identifiable information of private individuals; potential for systems to cause harm) - Pilot Task (strongly recommended) - Details of the pilot task - What lessons were learned and how these will impact the task design - Evaluation - The evaluation methodology to be used, including clear evaluation criteria - For Task Reruns - Justification for why a new iteration of the task is needed (see criteria above) - What will differ from the previous iteration - Expected impact of the rerun compared with the previous iteration - Task organizers - Names, affiliations, email addresses - (optional) brief description of relevant experience or expertise - (if applicable) years and task numbers, of any SemEval tasks you have run in the past - Role of each organizer Proposals will be reviewed by an independent group of area experts who may not have familiarity with recent SemEval tasks, and therefore all proposals should be written in a self-explanatory manner and contain sufficient examples. *The submission webpage is:* SemEval2025 Task Proposal Submission <https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SemEval> ( https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SemEval) For further information on this initiative, please refer to https://semeval.github.io/SemEval2025/cft === Chairs === Atul Kr. Ojha, Insight SFI Centre for Data Analytics, DSI, University of Galway A. Seza Doğruöz, Ghent University Giovanni Da San Martino, University of Padua Harish Tayyar Madabushi, The University of Bath Sara Rosenthal, IBM Research AI Aiala Rosá, Universidad de la República - Uruguay Contact: semevalorganizers(a)gmail.com

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Third Call for Participation- IWSLT 2024
by Atul K. Ojha 14 Mar '24

14 Mar '24

Apologies for cross-posting. ---------------------------------------- *The International Conference on Spoken Language Translation* *21st IWSLT 2024 – **third** Call for Participation* *August 17-18, 2024 – Bangkok, Thailand* *http://iwslt.org <http://iwslt.org/>* The International Conference on Spoken Language Translation (IWSLT) is the premier annual conference for all aspects of Spoken Language Translation. Every year, the conference organizes and sponsors open evaluation campaigns around key challenges in simultaneous and consecutive translation, under real-time/low latency or offline conditions and under low-resource or multilingual constraints. System descriptions and results from participants’ systems and scientific papers related to key algorithmic advances and best practices are presented. IWSLT is the venue of the SIGSLTs, the Special Interest Group on Spoken Language Translation of ACL, ISCA and ELRA. With a track record of 20 years, IWSLT benchmarks and proceedings serve as reference for all researchers and practitioners working on speech translation and related fields. The 21st edition of IWSLT <https://iwslt.org/2024/> will be run as an *ELRA/ACL* event and co-located with ACL 2024 <https://2024.aclweb.org/> on August 17-18, 2024. It will be run as a hybrid event. Important Dates January 15, 2024: Release of shared task training and dev data April 01-15, 2024: Evaluation period April 29, 2024: Paper submission due (all papers) June 4, 2024: Notification of acceptance June 24, 2024: Camera-ready paper due July 22, 2024: Pre-recorded video due August 17-18, 2024: Conference Evaluation The IWSLT 2024 features shared tasks <https://iwslt.org/2024/#shared-tasks> that address the following focus areas: - Speech-to-speech track - Simultaneous track - Subtitling track - Offline track - Dubbing track - Low-resource track - Indic track *Registration <https://docs.google.com/forms/d/e/1FAIpQLSdGhCusmyPVmBz36EB8ABUFignw7nZCoKx…> for the evaluation* is now open and training and development data for each shared task are available through the website. The results of all tasks will be collected and discussed in an overview paper that will be presented at the conference. In addition, participants have the opportunity to present their work through a system paper that will be published in the ACL Proceedings. Conference IWSLT also invites submissions of scientific papers to be published in the ACL Proceedings and presented either in oral or poster format. The conference selects high-quality, original contributions on theoretical and practical issues of spoken language translation research, technologies and applications. For further information on this initiative, please refer to the website <https://iwslt.org/2024/#paper-submission> *Special Session: Recent Highlights in SLT* IWSLT 2024 will introduce a special session entitled “SLT Recent Highlights <https://iwslt.org/2024/special-session>”. The session intends to provide an overview of recent highlights from the field across venues, with a series of short presentations focused reviews on recent developments and new/emerging trends. Additionally, a short and lively discussion may follow the presentations. We believe this initiative will contribute to a better understanding of the current landscape of SLT research and foster collaboration and exchange of ideas within the IWSLT community. For more information on this initiative, please refer to the website <https://iwslt.org/2024/special-session> Contact Please send an email to iwslt-evaluation-campaign(a)googlegroups.com if you have any questions related to the shared tasks. Thanks, Marine, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul (IWSLT organisers)

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SIGUL2024: reviewers wanted
by Claudia Soria 11 Mar '24

11 Mar '24

Dear list members, the 2024 edition of SIGUL's annual workshop, to be held this year in Turin, Italy, May 20-21, in conjunction with LREC-COLING, received a very high number of proposals. We did not expect this and it caught us unprepared. We need your help and expertise as reviewers. If you can take charge of reviewing 3-4 papers by March 22, please get in touch with me. Thank you for the support you would like to give us! All the best, Claudia Soria on behalf of the SIGUL2024 Organizers -- Ricercatrice Istituto di Linguistica Computazionale "A. Zampolli" Consiglio Nazionale delle Ricerche Pisa -- Researcher "A. Zampolli" Institute for Computational Linguistics National Research Council Pisa, Italy

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SIGUL March 2024