- Corpora - ELRA lists

Two postdoc positions at University of Turin (HARMONIA)
by Valerio Basile 23 Apr '24

23 Apr '24

The Content-Centered Computing <https://www.cs.unito.it/do/gruppi.pl/Show?_id=453y> group at the University of Turin, Italy, offers *two 14-month postdoc positions* in the context of HARMONIA (Harmony in Hybrid Decision-Making: Knowledge-enhanced Perspective-taking LLMs for Inclusive Decision-Making), funded by the European Union under the NextGenerationEU program within the larger project FAIR (Future Artificial Intelligence) Spoke 2 "Integrative AI" <https://fair.fbk.eu/>. The project aims at developing methods for the adoption of knowledge-enhanced Large Language Models (LLMs) in supporting informed and inclusive political decisions within public decision-making processes. The topics of the postdoc fellowships are: - Computational linguistics methods for knowledge-enhanced perspective-taking LLMs to support Inclusive Decision-Making - Perspective-taking LLMs for supporting Inclusive Decision-Making (full descriptions below) The team includes members of the Computer Science Department and Economics and Statistics Department of the University of Turin. A PhD in Computer Science, Computational Linguistics, or related areas is highly recommended. Knowledge of Italian is not mandatory. The deadline for application is *May 13th 2024*. The gross salary is €25.328 (about €1,860/month net salary). Turin <https://www.turismotorino.org/en/territory/torino-metropoli/torino> is a vibrant and liveable city in Northern Italy, close to the beautiful Italian Alps and with a manageable cost of living <https://en.unito.it/living-turin/when-you-arrive/cost-living-turin>. Link to the call <https://www.turismotorino.org/en/territory/torino-metropoli/torino> (in Italian). Link to the application platform <https://pica.cineca.it/unito/assegni-di-ricerca-unito-2024-i-pnrr/>. Please write to <valerio.basile(a)unito.it> or <viviana.patti(a)unito.it> for further information on how to apply. Best regards, Valerio Basile -- *Computational linguistics methods for knowledge-enhanced perspective-taking LLMs to support Inclusive Decision-Making* The activity will focus on a) design of a semantic model to represent interactions between urban services and citizens and integrate multi-source hybrid data; b) data annotation by citizens with different socio-cultural backgrounds to collect different perspectives on social issues. Data will be collected and organized in a Knowledge Graph. The activity will be supported by an interdisciplinary team of experts in KR, behavioral economics and LLMs (link with the design of knowledge-enhanced LLMs). *Perspective-taking LLMs for supporting Inclusive Decision-Making* The activity will focus on a) exploring techniques for integrating multi-source hybrid citizen data into LLMs (RAG and Knowledge Injection); b) developing methods for training and evaluating perspective-taking LLMs, which explicitly encode multiple perspectives, embodying the point of view of different citizen communities on a topic. Planned activities include: benchmark creation, error analysis, and evaluation of the efficiency and reliability of the developed technologies.

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CALAMITA - Challenge the Abilities of LAnguage Models in ITAlian - Call for Challenges
by Malvina Nissim 23 Apr '24

23 Apr '24

*CALAMITA - Challenge the Abilities of LAnguage Models in ITAlian* *Special event co-located with the Tenth Italian Conference on Computational Linguistics - CLiC-it 2024 Pisa, 4 - 6 December, 2024 - https://clic2024.ilc.cnr.it/ <https://clic2024.ilc.cnr.it/> * *Upcoming deadline: 17th May 2024, challenge pre-proposal submission! Pre-proposal form: *https://forms.gle/u4rSt9yXHHYquKrB6 *Project Description* AILC, the Italian Association for Computational Linguistics, is launching a *collaborative* effort to develop a dynamic and growing benchmark for evaluating LLMs’ capabilities in Italian. In the *long term*, we aim to establish a suite of tasks in the form of a benchmark which can be accessed through a shared platform and a live leaderboard. This would allow for ongoing evaluation of existing and newly developed Italian or multilingual LLMs. In the *short term*, we are looking to start building this benchmark through a series of challenges collaboratively construed by the research community. Concretely, this happens through the present call for challenge contributions. In a similar style to standard Natural Language Processing shared tasks, *participants are asked to contribute a task and the corresponding dataset with which a set of LLMs should be challenged*. Participants are expected to provide an explanation and motivation for a given task, a dataset that reflects that task together with any information relevant to the dataset (provenance, annotation, distribution of labels or phenomena, etc.) and a rationale for putting that together that way. Evaluation metrics and example prompts should also be provided. Existing relevant datasets are also very welcome, together with related publications if available. All of the proposed challenges either with existing datasets or new datasets, will have to follow the challenge template, which will be distributed in due time, towards the write-up of a challenge paper. In this first phase, all prospective participants are asked to submit a *pre-proposal* by filling in this form https://forms.gle/u4rSt9yXHHYquKrB6. Please fill in all the fields so we can get an idea of what challenge you’d like to propose, how the model should be prompted to perform the task, where you’d get the data and how much, whether it’s already available, etc. The organizers will examine the submitted pre-proposals and select those challenges that comply with the template’s requirements, with an eye to balancing different challenge types. The selected challenges will be expanded with a full dataset, longer descriptions, etc. according to the aforementioned template which will be distributed later. The final report of each accepted challenge must provide the code for the evaluation with an example that must smoothly run on a pre-selected base LLM (most likely LLaMa-2) which will be communicated by the organisers in the second phase. All reports will be published as CEUR Proceedings related to the CALAMITA event. Subsequently, all challenge organisers who wish to be involved can participate in a broader follow-up paper, targeting a top venue, which will describe the whole benchmark, procedures, results, and analyses. Once this first challenge set is put together, the *CALAMITA organizers* will run *zero* or *few* shots experiments with a selection of LLMs, and write a final report. No tuning materials or experiments are expected at this stage of the project. *Deadlines (tentative)* - *17th May 2024: pre-proposal submission* - 27th May 2024: notification of pre-proposal acceptance - End of May 2024: distribution of challenge paper template and further instructions - 2nd September 2024: data and report submission - 30th September 2024: benchmark ready with reports for each challenge (after light review) - October-November 2024: running selected models on the benchmark with analyses - 4th-6th December 2024: CLIC-it Pisa (special event co-located with CLIC-it 2024) *Website:* https://clic2024.ilc.cnr.it/calamita (under construction) *Mail: *calamita.ailc(a)gmail.com *Organizers* - Pierpaolo Basile (University of Bari Aldo Moro) - Danilo Croce (University of Rome, Tor Vergata) - Malvina Nissim (University of Groningen) - Viviana Patti (University of Turin)

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Postdoc or Research Assistant in London (QMUL)
by Haim Dubossarsky 23 Apr '24

23 Apr '24

On behalf of Prof. Mark Sandler. Lyrics generation project using LLMs. Notice the closing deadline. From: Mark Sandler <mark.sandler(a)qmul.ac.uk> I am happy to announce that the Centre for Digital Music is now formally advertising the new research positions I posted last week. One area is lyrics generation and the other is music signal processing (instrument ID, loop ID, lyric transcription). Both are collaborative with London-based music industry companies, session and stage. These are available immediately and can be offered as either post-doctoral or graduate research assistants, and can be either full- or part-time. Closing date is May 1 2024. Details can be found here https://www.qmul.ac.uk/jobs/vacancies/items/9619.html https://www.qmul.ac.uk/jobs/vacancies/items/9617.html

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Re: Corpora Digest, Vol 789, Issue 1
by frcchang＠gmail.com 23 Apr '24

23 Apr '24

help ---- Replied Message ---- From corpora-request(a)list.elra.info Date 04/22/2024 20:00 To corpora(a)list.elra.info Cc Subject Corpora Digest, Vol 789, Issue 1 Send Corpora mailing list submissions to corpora(a)list.elra.info To subscribe or unsubscribe via email, send a message with subject or body 'help' to corpora-request(a)list.elra.info You can reach the person managing the list at corpora-owner(a)list.elra.info When replying, please edit your Subject line so it is more specific than "Re: Contents of Corpora digest..." Today's Topics: 1. WMT 2024: Low-Resource Indic Language Translation. (Santanu Pal) 2. Final CPF: SIGIR eCom'24: May 3rd (Tracy Holloway King) 3. [2nd CFP] Special issue on Abusive Language Detection of the journal Traitement Automatique des Langues (TAL) (Farah Benamara) 4. [Call for Participation]: GermEval2024 Shared Task GerMS-Detect - Sexism Detection in German Online News Fora @Konvens 2024 (stephanie.gross(a)ofai.at) ---------------------------------------------------------------------- Message: 1 Date: Sun, 21 Apr 2024 13:02:42 +0100 From: Santanu Pal <santanu.pal.ju(a)gmail.com> Subject: [Corpora-List] WMT 2024: Low-Resource Indic Language Translation. To: corpora(a)list.elra.info Message-ID: <CALdLWwZZ4EJ6Vk5r9xS1b90vGBgtWpfq_PwGJSF=F+UQ6-ZCUg(a)mail.gmail.com> Content-Type: multipart/alternative; boundary="00000000000043488c06169a1b64" Dear Colleagues, We are pleased to inform you that we will be hosting the "Shared Task: Low-Resource Indic Language Translation" again this year as part of WMT 2024. Following the outstanding success and enthusiastic participation witnessed in the previous year's edition, we are excited to continue this important initiative. Despite recent advancements in machine translation (MT), such as multilingual translation and transfer learning techniques, the scarcity of parallel data remains a significant challenge, particularly for low-resource languages. The WMT 2024 Indic Machine Translation Shared Task aims to address this challenge by focusing on low-resource Indic languages from diverse language families. Specifically, we are targeting languages such as Assamese, Mizo, Khasi, Manipuri, Nyishi, Bodo, Mising, and Kokborok. For inquiries and further information, please contact us at lrilt.wmt24(a)gmail.com. Additionally, you can find more details and updates on the task through the following link: Task Link: https://www2.statmt.org/wmt24/indic-mt-task.html. We highly encourage participants to register in advance so that we can provide updates regarding release dates of data and other relevant information periodically To register for the event, please fill out the registration form available here. ( https://docs.google.com/forms/d/e/1FAIpQLSd8LwriqdLLhVNAvUWEcGRJmKuBFQZ9BR_… ) We look forward to your participation and contributions to advancing low-resource Indic language translation. with best regards, Santanu

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[CFP] Deadline extended - 2024 SIGIR First Workshop on Large Language Models, LLMs, for Evaluation in Information Retrieval
by Guglielmo Faggioli 23 Apr '24

23 Apr '24

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. 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). 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 May 2nd, 2024 (AoE time) - Acceptance Notifications: May 31st, 2024 (AoE time) - Workshop date: July 18, 2024 Website For more information, visit the workshop website: https://llm4eval.github.io/ Contact For any questions about paper submission, you may contact the workshop organizers at llm4eval(a)easychair.org

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Edge Hill Corpus Research Group – Meeting #12
by Costas Gabrielatos 23 Apr '24

23 Apr '24

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 25 April 2024, 2:00-3:30 pm (UK time). Registration closes tomorrow (Wednesday 24 April), 11 am. Attendance is free. You can register here: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Topics: Corpus Methodology, Large Language Models Speakers: Sylvia Jaworska<https://www.reading.ac.uk/elal/staff/dr-sylvia-jaworska> (University of Reading, UK) & Mathew Gillings<https://www.wu.ac.at/ebc/about-us/team/mathew-gillings/> (Vienna University of Economics and Business, Austria) Title: How humans vs. machines identify discourse topics: an exploratory triangulation Abstract Identifying discourses and discursive topics in a set of texts has not only been of interest to linguists, but to researchers working across social sciences. Traditionally, these analyses have been conducted based on small-scale interpretive analyses of discourse which involve some form of close reading. Naturally, however, that close reading is only possible when the dataset is small, and it leaves the analyst open to accusations of bias and/or cherry-picking. Designed to avoid these issues, other methods have emerged which involve larger datasets and have some form of quantitative component. Within linguistics, this has typically been through the use of corpus-assisted methods, whilst outside of linguistics, topic modelling is one of the most widely-used approaches. Increasingly, researchers are also exploring the utility of LLMs (such as ChatGPT) to assist analyses and identification of topics. This talk reports on a study assessing the effect that analytical method has on the interpretation of texts, specifically in relation to the identification of the main topics. Using a corpus of corporate sustainability reports, totalling 98,277 words, we asked 6 different researchers, along with ChatGPT, to interrogate the corpus and decide on its main ‘topics’ via four different methods. Each method gradually increases in the amount of context available. • Method A: ChatGPT is used to categorise the topic model output and assign topic labels; • Method B: Two researchers were asked to view a topic model output and assign topic labels based purely on eyeballing the co-occurring words; • Method C: Two researchers were asked to assign topic labels based on a concordance analysis of 100 randomised lines of each co-occurring word; • Method D: Two researchers were asked to reverse-engineer a topic model output by creating topic labels based on a close reading. The talk explores how the identified topics differed both between researchers in the same condition, and between researchers in different conditions shedding light on some of the mechanisms underlying topic identification by machines vs humans or machines assisted by humans. We conclude with a series of tentative observations regarding the benefits and limitations of each method along with suggestions for researchers in selecting an analytical approach for discourse topic identification. While this study is exploratory and limited in scope, it opens up a way for further methodological and larger scale triangulations of corpus-based analyses with other computational methods including AI. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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First Call For Papers: 17th International Natural Language Generation Conference INLG 2024
by Saad Mahamood 23 Apr '24

23 Apr '24

*First Call For papers: 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: 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 May 31, 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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RiCL indexed as Q2 in SJR
by Paula Rodríguez-Puente 22 Apr '24

22 Apr '24

Dear colleagues, We are happy to announce that the journal *Research in Corpus Linguistics,* sponsored by the *Spanish Association for Corpus Linguistics**, has been indexed in Scimago Journal and Country Rank. The journal has been ranked in Quartile 2 (Q2) for the period 2019–2023.* As SJR’s indexing criteria show, there is no doubt that RiCL has been an academically relevant linguistic journal since 2019. The editorial team is particularly happy with the coverage (2019–2023), which is beneficial for authors who have published in RiCL over the time-frame (2019–2023), and evidence of the substantial work carried out by the team since 2018. We would like to thank all contributors, guest editors and reviewers for their collaboration with the journal and invite scholars to submit their submission proposals to the journal. Specific areas of interest include corpus design, compilation, and typology; discourse, literary analysis and corpora; corpus-based grammatical studies; corpus-based lexicology and lexicography; corpora, contrastive studies and translation; corpus and linguistic variation; corpus-based computational linguistics; corpora, language acquisition and teaching; and special uses of corpus linguistics. Further information at: *https://ricl.aelinco.es <https://urldefense.com/v3/__https://ricl.aelinco.es/__;!!D9dNQwwGXtA!XdCA4T…>* All the best, Paula Rodríguez-Puente and Carlos Prado-Alonso (editors of RiCL) -- Paula Rodríguez Puente rodriguezppaula(a)uniovi.es <paula.r.puente(a)gmail.com> http://www.usc-vlcg.es/PRP.htm <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…> Libre de virus.www.avg.com <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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3rd CfP: 5th International Workshop on Computational Approaches to Historical Language Change 2024 (LChange’24)
by Syrielle Montariol 22 Apr '24

22 Apr '24

***Apologies for possible cross-posting *** Third Call for Papers: 5th International Workshop on Computational Approaches to Historical Language Change (LChange’24) /!\ Less than 3 weeks before the submission deadline /!\ We're organizing a full-day workshop co-located with the ACL conference on Aug 15, 2024 in Bangkok and online. We hope to make this fifth edition another resounding success! This year, we are happy to host a *shared task* within LChange: the *AXOLOTL-24* Shared Task on Explainable Semantic Change Modeling. Workshop: https://www.changeiskey.org/event/2024-acl-lchange/ Shared task: https://github.com/ltgoslo/axolotl24_shared_task/. Contact email: lchange(a)changeiskey.org Workshop description The LChange workshop targets all aspects of computational modeling of language change, historical as well as synchronic change. It is running in its fifth iteration following successful workshops in 2019 <https://languagechange.org/events/2019-acl-lcworkshop/>, 2021 <https://languagechange.org/events/2021-acl-lcworkshop/>, 2022 <https://languagechange.org/events/2022-acl-lchange/>, and 2023 <https://languagechange.org/events/2023-emnlp-lchange/>, and will be co-located with ACL 2024 in Bangkok (Thailand), as a hybrid event. The workshop will take place on Thursday 15 August 2024. The main topics of the workshop remain the same: all aspects around computational approaches to language change with a focus on digital text corpora. LChange explores state-of-the-art computational methodologies, theories and digital text resources on exploring the time-varying nature of human language. The aim of this workshop is to provide pioneering researchers who work on computational methods, evaluation, and large-scale modeling of language change an outlet for disseminating research on topics concerning language change. Besides these goals, this workshop will also support discussion on evaluating computational methodologies for uncovering language change. We’ll also be offering mentorship to students, to discuss their research topic with a member of the field, regardless of whether they are submitting a paper or not. Important Dates * May 10, 2024: Paper submission * June 20, 2024: Notification of acceptance * June 30, 2024: Camera-ready papers due * August 15, 2024: Workshop date AXOLOTL-24 Shared Task AXOLOTL-24 stands for “Ascertain and eXplain Overhauls of the Lexicon Over Time at LChange'24” and is organized by Mariia Fedorova and Andrey Kutuzov (University of Oslo), Timothee Mickus, Niko Partanen and Janine Siewert (University of Helsinki), and Elena Spaziani (Sapienza University Rome). The AXOLOTL'24 shared task itself is finished, and the leaderboards are published. But you can still participate in the post-evaluation phase and submit a paper to LChange. The shared task presents two subtasks: - Subtask 1: https://codalab.lisn.upsaclay.fr/competitions/18570 Finding the target word usages associated with new, gained senses - Subtask 2: https://codalab.lisn.upsaclay.fr/competitions/18572 <https://codalab.lisn.upsaclay.fr/competitions/18008>Describing these senses in a way that facilitates understanding and lexicographical research. Submissions We accept two types of submissions, long and short papers, consisting of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. We also welcome papers focusing on releasing a dataset or a model; these papers fall into the short paper category. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please send us an email! Workshop organizers Nina Tahmasebi, University of Gothenburg Syrielle Montariol, École polytechnique fédérale de Lausanne Andrey Kutuzov, University of Oslo Simon Hengchen, iguanodon.ai and Université de Genève David Alfter, University of Gothenburg Francesco Periti, University of Milan Pierluigi Cassotti, University of Gothenburg

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[Call for Participation]: GermEval2024 Shared Task GerMS-Detect - Sexism Detection in German Online News Fora @Konvens 2024
by stephanie.gross＠ofai.at 22 Apr '24

22 Apr '24

1st CALL FOR PARTICIPATION We are pleased to announce the GermEval Shared Task GerMS-Detect on Sexism Detection in German Online News Fora collocated with Konvens 2024. Competition Website: https://ofai.github.io/GermEval2024-GerMS/ Important Dates: Trial phase: April 20 - April 29, 2024 Development phase: May 1 - June 5, 2024 Competition phase: June 7 - June 25, 2024 Paper submission due: July 1, 2024 Camera ready due: July 20, 2024 Shared Task @KONVENS: 10 September, 2024 Task description: This shared task is about the detection of sexism/misogyny in comments posted in (mostly) German language to the comment section of an Austrian online newspaper. The data was originally collected for the development of a classifier that supports human moderators in detecting potentially sexist comments or identify comment fora with a high rate of sexist comments. For details see the Competition Website (https://ofai.github.io/GermEval2024-GerMS/). Organizers: The task is organized by the Austrian Research Institute for Artificial Intelligence (OFAI) (www.ofai.at). Organizing team: Brigitte Krenn (brigitte.krenn (AT) ofai.at) Johann Petrak (johann.petrak (AT) ofai.at) Stephanie Gross (stephanie.gross (AT) ofai.at)

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