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[PhD-Position] Muiltimodal Fake-News and Disinformation Detection incl. xAI in DFKI Berlin
by Tim Polzehl 16 Jan '24

16 Jan '24

Job offer: Researcher for Multimodal Fake-News and Disinformation Detection at DFKI Berlin The German Research Center for Artificial Intelligence (DFKI) has operated as a non-profit, Public-Private-Partnership (PPP) since 1988. DFKI combines scientific excellence and commercially-oriented value creation with social awareness and is recognized as a major "Center of Excellence" by the international scientific community. In the field of artificial intelligence, DFKI as Germany’s biggest public and independent organisation dedicated to AI research and development, has focused on the goal of human-centric AI for more than 30 years. Research is committed to essential, future-oriented areas of application and socially relevant topics. We are looking for a highly motivated research assistant to join our existing team and work on a project focused on fake-news and disinformation detection from speech and multimedia data. Content authenticity verification of speech combined with other modalities like text, visuals or meta-data will be a center part. In any case, xAI and bias analysis are aspects of high relevance to the position as well. The successful candidate will work closely with high-impact partners in this field, e.g. Technical University of Berlin, RBB (Berlin TV and news broadcaster), Deutsche Welle (Germany's broadcaster abroad), and 5 other partners. Responsibilities will include developing and testing different AI/NLP models and techniques, analyzing the performance of machine learning models in the context of applicable fake-news and disinformation fighting for journalists, and communicating project progress and results to relevant stakeholders. The position offers opportunities for pursuing a doctorate and publishing research results in scientific journals and conferences. Qualified candidates will have a completed university degree in (technical) computer science or computational linguistics, excellent programming skills in Python, and a strong background in machine learning/AI and signal processing or NLP. Previous experience in the field of fake-news or spoofing / authenticity detection of multimedia data is an advantage. DFKI offers an agile and lively international and interdisciplinary environment for working in a self-determined manner. If you are interested in contributing to cutting-edge research and working with a dynamic team, please apply! More details and link: https://jobs.dfki.de/en/vacancy/researcher-m-f-d-547585.html Application deadline: Jan 23, 2024. In terms of questions please don’t hesitate to contact tim.polzehl(a)dfki.de<mailto:tim.polzehl@dfki.de> -- Dr.-Ing. Tim Polzehl Senior Researcher Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) German Research Center for Artificial Intelligence Speech & Language Technology Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab DFKI Labor Berlin Alt-Moabit 91c, D-10559 Berlin, Germany Tel.: +49.30.238951863 Fax: +49 30 23895 1810 E-Mail tim.polzehl(a)dfki.de<mailto:tim.polzehl@dfki.de> ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Straße 122, 67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender) Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 -------------------------------------------------------------

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1st CfP: Special Session on Emergent Phenomena in Deep Representations and Large Language Models @IJCNN 2024 & IEEE WCCI 2024
by Ozge Alacam 16 Jan '24

16 Jan '24

Apologies for cross-posting ------------------------------------------------------ Dear colleagues, We invite you to submit to the special session on “Emergent Phenomena in Deep Representations and Large Language Models” as a part of IJCNN 2024 and IEEE WCCI 2024, which will be located in Yokohama, Japan. We are looking forward to your contributions. Please find the CfP below. Best wishes, On behalf of Organising Committee Özge Alacam ------------------------------------------------------ First Call for Papers: Special Session on Emergent Phenomena in Deep Representations and Large Language Models @IJCNN 2024 & IEEE WCCI 2024: Deep learning models trained on large datasets have shown spectacular performance in a wide range of tasks demonstrated by current applications of Large Language Models. However, recent works have shown that the abilities large machine learning models acquire often emerge unpredictably with increasing model complexity or training dataset size. These emergent phenomena include the unexpected appearance of abilities for which the model was not explicitly trained, but they might also be related to unexpected performance boosts due to the increased model complexity. Emergent phenomena are not always beneficial: larger models may pick up new biases from the training data or start hallucinating. To move towards increasingly sustainable, reliable, and explainable applications of AI systems, it is necessary to increase the understanding of the mechanisms surrounding emergent phenomena. Moreover, this effort provides increased insight into the learning process behind the acquisition of abilities of large models to perform specific tasks. Important research questions relate to the definition of emergent phenomena, their causes (what controls which abilities are acquired and when?), training efficiency, and training data quality (e.g., acquiring desired abilities with less computational effort), prompting strategies to get or test for desired model behaviour (e.g., a chain of thought), and further verification methods of model abilities and properties. The primary goal of this special session is (i) to discuss the emergent abilities and risks in deep neural networks and representations from very different angles and (ii) facilitate networking and encourage collaboration between various research fields that approach this issue from different perspectives, like computational linguistics, ethics in AI, computer science, physics, etc. Topics of interest include, but are not limited to: • The definition of emergence in the context of NLP and ML • Prompting strategies • Physics-based/inspired analyses (e.g. phase transitions in ML models) • Explainability and interpretability (XAI) • Evaluation measures for model ability, monitoring strategies, assessment of model abilities (e.g. technical or psychology-based) • Knowledge distillation, model pruning, energy-efficient models. • Mitigation strategies for emergent risks and model deterioration. • Fine-tuning and Retrieval-augmented generation (RAG) • Papers focusing on specific emergent phenomena (reasoning, creativity, double descent phenomena etc.) The website for the call for papers is accessible at https://sites.google.com/view/emergenn/call-for-papers Organising Committee: ------------------------------ • Dr. Özge Alacam (Ludwig-Maximilian University & Uni Bielefeld, Germany) • Dr. Michiel Straat (Uni Bielefeld, Germany) • Prof. Dr. Hinrich Schütze (Ludwig-Maximilian University, Germany) • Prof. Dr. Alessandro Sperduti (University of Padova, Italy) Important Dates: ------------------------------ • January 15, 2024 - Paper Submission Deadline • March 15, 2024 - Notification of Acceptance • May 1, 2024 - Camera-ready Deadline & Early Registration Deadline • June 30 - July 5, 2024 - Main Conference (IEEE WCCI 2024, Yokohama, Japan) * All deadlines are 11:59 PM UTC-12:00 ("anywhere on Earth") Submission Format and Platform: ------------------------------ • Submissions will be through the IEEE WCCI 2024 Submission page <https://edas.info/login.php?rurl=aHR0cHM6Ly9lZGFzLmluZm8vTjMxNjE0P2M9MzE2MT…>. • Each paper is limited to 8 pages, including figures, tables, and references. Please refer to the author guidelines provided by IEEE WCCI 2024 • Please specify during the submission that your paper is intended for the Special Session: Emergent Phenomena in Deep Representations and Large Language Models. • Special session webpage: https://sites.google.com/view/emergenn/call-for-papers • IEEE WCCI 2024 webpage: https://2024.ieeewcci.org/ Contact information: ------------------------------ • Özge Alacam : oezge.alacam(a)uni-bielefeld.de • Michiel Straat : mstraat(a)techfak.uni-bielefeld.de

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CODI workshop: Call for direct submissions
by Chloé Braud 16 Jan '24

16 Jan '24

CODI, 5th Workshop on Computational Approaches to Discourse 2024-03-21 or 22 - EACL 2024 - Malta ** Direct Submission deadline: January 17th, 2024 ** Direct submission: We now open submissions for papers rejected at another main conference. Website link: https://sites.google.com/view/codi2024 CODI considers for publication papers rejected at one of the main conferences, authors will have to submit both the paper and the reviews as a supplemantary pdf file. If modifications have been made since the original submission, please submit an additional file describing briefly the modifications made. The organizers will decide on the acceptance of the papers based on the quality of the paper and its fit with the workshop. As a reminder, CODI also invites presentations of paper accepted at another main conference. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. Please submit your workshop papers (category: "direct submission") at https://softconf.com/eacl2024/CODI-2024/

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Job advertisement, UK Civil Service
by Paul Thompson 16 Jan '24

16 Jan '24

DSTL (Defence Science and Technology Laboratory, part of the UK Civil Service) is advertising for a computational/corpus linguist to work in their 'Behavioural and Social Science Group'. They are looking for a linguist who understands the potential for (and limitations of) computational approaches to discourse and who would be comfortable interacting with computer / data scientists. Details can be found at: https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=b3duZXJ0eXBlP… Regards Paul Thompson = = = = = = = = = = = = = Dr Paul Thompson Reader in Applied Corpus Linguistics Co-Director, Centre for Corpus Research Head of Department, English Language and Linguistics University of Birmingham Birmingham B15 2TT, UK Editor-in-Chief, Applied Corpus Linguistics journal = = = = = = = = = = = = =

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CfP: 6th International Workshop on Geospatial Linked Data at ESWC2024
by Beyza Yaman 16 Jan '24

16 Jan '24

Apologies for cross-posting! GeoLD2024: 6th International Workshop on Geospatial Linked Data Hersonissos, Greece, May 26-27, 2024 Conference website https://i3mainz.github.io/GeoLD2024/ Submission link https://easychair.org/conferences/?conf=geold2024 Submission deadline March 10, 2024 GeoLD2024 *6th International Workshop on Geospatial Linked Data* at ESWC 2024 <https://2024.eswc-conferences.org/> Geospatial data is vital for both traditional applications like navigation, logistics, and tourism and emerging areas like autonomous vehicles, smart buildings and GIS on demand. Spatial linked data has recently transitioned from experimental prototypes to national infrastructure. However the next generation of spatial knowledge graphs will integrate multiple spatial datasets with the large number of general datasets that contain some geospatial references (e.g., DBpedia, Wikidata). This integration, either on the public Web or within organizations has immense socio-economic as well as academic benefits. The upsurge in Linked data related presentations in the recent Eurogeographics data quality workshop shows the deep interest in Geospatial Linked Data (GLD) in national mapping agencies. GLD enables a web-based, interoperable geospatial infrastructure. This is especially relevant for delivering the INSPIRE directive in Europe. Moreover, geospatial information systems benefit from Linked Data principles in building the next generation of spatial data applications e.g., federated smart buildings, self-piloted vehicles, delivery drones or automated local authority services. This workshop invites papers covering the challenges and solutions for handling with GLD, especially for building high quality, adaptable, geospatial infrastructures and next-generation spatial applications. We aim to demonstrate the latest approaches and implementations and to discuss the solutions to challenges and issues arising from research and industrial organizations. The following topics of interest are covered by GeoLD2024. *Interoperability and Integration* - Geospatial Linked Data vocabularies and standards (GeoSPARQL, INSPIRE, W3C, OGC) - Extraction/transformation of Geospatial Linked Data from native geospatial data sources - Integration (schema mapping, interlinking, fusion) techniques for Geospatial RDF Data - Enrichment, quality and evolution of Linked Data with Geospatial information - Machine Learning improving Geospatial Linked Data processing - Natural Language Processing, especially Large Language Models for improving GLD processing *Big Geospatial Data Management* - Distributed solutions for Geospatial Linked Data management (storing, querying, mapping) - Algorithms and tools for large scale, scalable Geospatial Linked Data management - Efficient Indexing and Querying of Geospatial Linked Data - Geospatial-specific Reasoning on RDF Data - Ranking techniques on querying Geospatial RDF Data - Advanced querying capabilities on Geospatial RDF Data *Utilization of Geospatial Linked Data* - Benchmarking of Geospatial Linked Data applications - Geospatial Linked Data in social web platforms and applications - Geospatial linked data applications for indoor navigation - Visualization models/interfaces for browsing/authoring/querying Geospatial Linked Data - Real-world applications/use cases/paradigms using Geospatial Linked Data - Evaluation/comparison of tools/libraries/frameworks for Geospatial Linked Data - Data governance models for Geospatial Linked Data Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - *Long papers (up to 12 pages)*: Presenting novel scientific research pertaining to geospatial Linked Data. - *Short papers (up to 6 pages)*: Position papers, System, Library, API and Dataset descriptions, relevant to the topics of interest. - *Demo/Tutorial papers (up to 4 pages)*: Describe a demo or hands-on tutorial of a tool on the workshop topics Organizing committee - Timo Homburg (i3mainz -- Institute for Spatial Information Surveying Technology, Mainz University Of Applied Sciences, Germany) - Dr. Beyza Yaman (ADAPT Centre, Trinity College Dublin, Ireland) - Dr. Mohamed Ahmed Sherif (University of Paderborn, Germany) - Prof. Dr. Axel-Cyrille Ngonga Ngomo (University Of Paderborn, Germany) Contact All questions about submissions should be emailed to Timo.Homburg(a)hs-mainz.de

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Call for Abstracts: NLP STANDardization workshop in support of the EU AI Act, 29/01, Paris, France
by Timothée Bernard 15 Jan '24

15 Jan '24

STAND Workshop on Standardizing Tasks, meAsures and NLP Datasets https://stand4nlp.github.io/ Full-day workshop in Paris, France, January 29th 2024 (+ partial hybrid) Abstract submission deadline: January 24th 2024, but earlier submissions are welcome Scientific context: The current lack of standardized practices and definitions in NLP systems hinders the progress of the field. Indeed, there is not always consensus on which evaluation methods are meaningful and fruitful, or which of their implementations are to be used with which parameters (eg. SacreBLEU, Post 2018). In some cases, there is no general agreement on the very definition of a task. This situation calls for work on *standardizing* NLP practices. The International Organization for Standardization (ISO) has just created *a dedicated working group on NLP* (as a joint effort of the AI and Language committees), and *2 standards* are already under way. Topics under consideration by the ISO standardization committees include NLP terminology, evaluation metrics, interoperability, annotation guidelines, good practices in NLP development/evaluation/corpora, documentation. These topics are already heavily discussed in academia, and a number of informal guidelines have already been proposed. We believe that the creation of NLP standards can significantly benefit from the input of both NLP academics and industry NLP practitioners. Reciprocally, NLP researchers would benefit from getting involved in the standardization effort, thus ensuring that academia's views are listened to, in particular in the context of the *AI Act* (the European regulation on AI that has been finalized in December), whose enforcement will strongly rely on those standards. The STAND workshop is a research initiative whose goal is: - to foster discussion on existing standards, their creation and use - to assess the current needs of the community for standardization - to share experience on the impact on the research activities when lacking good practices - to collect existing good practices (and propose new ones) We invite contributions from NLP practitioners from both the industry and academia, as well as standardization experts. We invite two types of submission: * short abstract: 1 page * long abstract: 3 pages Accepted submissions will be presented as posters. Authors accepted in the long-abstract track will be invited to submit a full paper (5-10 pages) after the workshop. Topics for submissions include, but are not limited to: - Comparability and reproducibility of evaluation setup - Annotation guidelines - Evaluation metrics - Good practices for building, annotating and maintaining corpora - Good practices for system evaluation - Interoperability - Ethical guidelines - Guidelines for documenting corpora and models Submission instructions: - Submissions are expected in PDF form by email at stand4nlp(a)inria.fr - All submissions should be formatted using the ACL 2023 style files https://2023.aclweb.org/calls/style_and_formatting/. ============ PROGRAM AT A GLANCE: [09:00-10:00] Welcome, introduction to standardization, ongoing activities in NLP standardization, and the AI Act context [10:15-11:50] Academic keynote (*Joakim Nivre*) and invited talks (*Matt Post*, other speaker TBC) [11:50-13:30] Poster session (with boosters) & lunch [13:30-14:40] Industry keynote (speaker TBC) and invited talk (*Dirk Hovy*) [15:00-16:30] Moderator-led breakout discussions. Potential topics that will be discussed include: - [sharing / drafting] Standardizing good practices for evaluation - [sharing / drafting] Standardizing good practices for corpus management (collection, annotation, versioning) - [sharing / drafting] Standardizing evaluation metrics (definitions, implementation, sharing scripts) - [sharing / drafting] Standardizing annotation schemes (formats and guidelines) - [debate] Explainability and ethics in NLP: what needs for standards? - [debate] Comparing standardization needs with limitations of the state-of-the-art: how to bridge the gap? - [debate] Towards standardizing translations of technical terminology in NLP: how to organize i18n? [16:30-17:30] Reports from breakouts, definition of community-level actions & wrap-up. Example outcomes that are envisioned include: - Collection and drafting of existing good practices - Preparation of a joint submission for a position paper - Creation of common repositories for evaluation scripts, corpus documentation Participants to the workshop will be offered the opportunity to attend a standardization committee's meeting, which has been scheduled for the day after the workshop (January 30th). The outputs of that meeting will be used in direct support of the AI Act. Remote access will be offered for part of the workshop only. In-person participation is recommended if possible. Posters will be in-person only. IMPORTANT DATES: Abstract submission: Anytime by January 24 Notification of acceptance: Within a few days of submission Workshop: January 29 Standardization committee meeting: January 30 ORGANISING COMMITTEE: Lauriane Aufrant, Timothée Bernard, Maximin Coavoux, Yoann Dupont, Arnaud Ferré, Taras Holoyad, Rania Wazir MORE INFORMATION For the latest information see the workshop page at https://stand4nlp.github.io/; for any questions contact stand4nlp(a)inria.fr.

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Berlin: Student assistant positions related to LLM evaluation
by Eleftherios Avramidis 15 Jan '24

15 Jan '24

Dear all, the department DRX of DFKI Berlin has opened two student assistant positions for a research project related to LLM evaluation and usability. We would be grateful if you could circulate the following student assistant positions to students who may be interested: * Student Assistant (m/f/d) on the topic of Frontend-Development and Design https://jobs.dfki.de/en/vacancy/en-student-assistant-m-f-d-frontenddevelopm… * Student Assistant (m/f/d) on the topic of UX-Design https://jobs.dfki.de/en/vacancy/en-student-assistant-m-f-d-545837.html Deadline is January 31st best Lefteris -- Eleftherios Avramidis, senior researcher German Research Center for Artificial Intelligence (DFKI) departments: Design Research eXplorations, Speech and Language Technology short name: Lefteris, (pronouns: he/him), languages: English, German, Greek Website:https://www.dfki.de/~elav01 Address: Alt Moabit 91c, 10559 Berlin, Germany Tel.: +49 30 23895 1806 Sec.: +49 30 23895 1800 Fax.: +49 30 23895 1810 Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger, Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313

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SCI-CHAT 2024: Third call for Participation & Papers for Workshop on Simulation of Conversational Intelligence in Chat
by Gerasimos Lampouras 15 Jan '24

15 Jan '24

tl;dr: - submission deadline for research track paper via Softconf: December 18th 2023 - submission deadline for research track submissions already reviewed via ARR: January 17th 2024 https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SCI-CHAT_ARR_Co… - submission deadline for shard task systems: January 20th 2024 https://forms.gle/r7HgxZKgqdencRrHA - submission deadline for shard task system descriptions via SoftConf: January 26th 2024 https://sites.google.com/view/dialogue-evaluation/ Call for Papers The aim of this workshop is to bring together experts working in the area of open-domain dialogue. In this speedily advancing research area many challenges still exist, such as learning information from conversations, engaging in realistic and convincing simulation of human intelligence, reasoning, and so on. SCI-CHAT follows previous workshops on open domain dialogue, but with a focus on the simulation of intelligent conversation, including the ability to follow a challenging topic over a multi-turn conversation, the ability to posit questions, refuting and reasoning with live human evaluation employed as the primary mechanism for evaluating models. The workshop will include a research track and shared task: SCI-CHAT's research track aims to explore recent advances and challenges in open-domain dialogue research. Researchers working on all aspects of open-domain dialogue are invited to submit papers on recent advances, resources, tools, analysis, evaluation, and challenges on the broad theme of open-domain dialogues. The topics of the workshop include but are not limited to the following: - Intelligent conversation, chit-chat, open-domain dialogue; - Automatic and human evaluation of open-domain dialogue; - Limitations, risks and safety in open-domain dialogue; - Instruction-tuned and instruction-enabled models; - Any other topic of interest to the dialogue community. SCI-CHAT's shared task will focus on simulating intelligent conversations; participants will be asked to submit (access to the APIs of) automated dialogue agents with the aim of carrying out nuanced conversations over multiple dialogue turns. Participating systems will be interactively evaluated in a live human evaluation. All data acquired within the context of the shared task will be made public, providing an important resource for improving metrics and systems in this research area. Submission guidelines: Authors are invited to submit their unpublished work that represents novel research through either direct submission or ARR commitment. Papers should consist of up to 8 pages of content, plus unlimited pages for references and appendix. Authors should make use of the EACL Latex Template <https://2023.eacl.org/calls/styles/> alongside supplementary materials, including technical appendices, links to source code, datasets, and multimedia appendices. Papers can also be submitted as non-archival, so that their content can be reused for other venues by adding "(NON-ARCHIVAL)" to the title of their submission. Previously published work can also be submitted as non-archival in the same way, with the additional requirement to state such on the first page. - Direct paper submissions must be submitted through SoftCon submission link: https://softconf.com/eacl2024/SCI-CHAT-2024/ <https://softconf.com/eacl2024/SCI-CHAT-2024/> Multiple submissions of the same paper to more EACL workshops are forbidden. All papers will be double-blind peer-reviewed, by at least 2 program committee members. As such, all submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to EACL guidelines <https://eacl.org/index.html>. Organizers - Yvette Graham (Trinity College Dublin, Ireland) - Qun Liu (Huawei Noah's Ark Lab, China) - Gerasimos Lampouras (Huawei Noah's Ark Lab,UK) - Ignacio Iacobacci (Huawei Noah's Ark Lab, UK) - Sinead Madden (Trinity College Dublin, Ireland) - Haider Khalid (Trinity College Dublin, Ireland) - Rameez Qureshi (Trinity College Dublin, Ireland) Important Dates Regarding Research Track: - Research paper via Softconf: December 18th 2023 - Pre-reviewed ARR commitment deadline: January 17th 2024 - Notification of research paper acceptance: January 20th, 2024 - Camera-ready papers due: January 30th 2024 Regarding Shared Task: - Release of training and development data: November 9th 2023 - Release of baseline systems: November 9th 2023 - Preliminary System submission deadline: January 13th 2024 (optional - if you want help testing your API, please submit early) - System submission (API) deadline: January 20th 2024 - System description paper via SoftConf: January 26th 2024 - Camera-ready papers due: January 30th 2024 Overview of results at one-day workshop: March 21 or 22, 2024 CONTACT: sci-chat(a)adaptcentre.ie

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Final Call for Participation: SemRel SemEval Shared Task 1 (Evaluation starts on January 20th, Q/A Zoom session on January 16th)
by Nedjma OUSIDHOUM 15 Jan '24

15 Jan '24

Dear corpora-list members, We are announcing the first SemEval shared task on Semantic Textual Relatedness (STR): A shared task on automatically detecting the degree of semantic relatedness (closeness in meaning) between pairs of sentences. The semantic relatedness of two language units has long been considered fundamental to understanding meaning (Halliday and Hasan, 1976; Miller and Charles, 1991), and automatically determining relatedness has many applications such as evaluating sentence representation methods, question answering, and summarization. Two sentences are considered semantically similar when they have a paraphrasal or entailment relation. On the other hand, relatedness is a much broader concept that accounts for all the commonalities between two sentences: whether they are on the same topic, express the same view, originate from the same time period, one elaborates on (or follows from) the other, etc. For instance, for the following sentence pairs: - Pair 1: a. There was a lemon tree next to the house. b. The boy enjoyed reading under the lemon tree. - Pair 2: a. There was a lemon tree next to the house. b. The boy was an excellent football player. Most people will agree that the sentences in pair 1 are more related than the sentences in pair 2. In this task, new textual datasets will be provided for Afrikaans <https://en.wikipedia.org/wiki/Afrikaans>, Algerian Arabic <https://en.wikipedia.org/wiki/Algerian_Arabic>, Amharic <https://en.wikipedia.org/wiki/Amharic>, English, Hausa <https://en.wikipedia.org/wiki/Hausa_language>, Hindi <https://en.wikipedia.org/wiki/Hindi>, Indonesian <https://en.wikipedia.org/wiki/Indonesian_language>, Kinyarwanda <https://en.wikipedia.org/wiki/Kinyarwanda>, Marathi <https://en.wikipedia.org/wiki/Marathi_language>, Moroccan Arabic <https://en.wikipedia.org/wiki/Moroccan_Arabic>, Modern Standard Arabic <https://en.wikipedia.org/wiki/Modern_Standard_Arabic>, Punjabi <https://en.wikipedia.org/wiki/Punjabi_language>, Spanish <https://en.wikipedia.org/wiki/Spanish_language>, and Telugu <https://en.wikipedia.org/wiki/Telugu_language>. Data Each instance in the training, development, and test sets is a sentence pair. The instance is labeled with a score representing the degree of semantic textual relatedness between the two sentences. The scores can range from 0 (maximally unrelated) to 1 (maximally related). These gold label scores have been determined through manual annotation. Specifically, a comparative annotation approach was used to avoid known limitations of traditional rating scale annotation methods This comparative annotation process (which avoids several biases of traditional rating scales) led to a high reliability of the final relatedness rankings. Further details about the task, the method of data annotation, how STR is different from semantic textual similarity, applications of semantic textual relatedness, etc. can be found in this paper: https://aclanthology.org/2023.eacl-main.55.pdf Tracks Each team can provide submissions for one, two or all of the tracks shown below: Track A: Supervised Participants are to submit systems that have been trained using the labeled training datasets provided. Participating teams are allowed to use any publicly available datasets (e.g., other relatedness and similarity datasets or datasets in any other languages). However, they must report additional data they used, and ideally report how impactful each resource was on the final results. Track B: Unsupervised Participants are to submit systems that have been developed without the use of any labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long in any language. The use of unigram or bigram relatedness datasets (from any language) is permitted. Track C: Cross-lingual Participants are to submit systems that have been developed without the use of any labeled semantic similarity or semantic relatedness datasets in the target language and with the use of labeled dataset(s) from at least one other language. Note: Using labeled data from another track is mandatory for submission to this track. Deciding which track a submission should go to: - If a submission uses labeled data in the target language: submit to Track A - If a submission does not use labeled data in the target language but uses labeled data from another language: submit to Track C - If a submission does not use labeled data in any language: submit to Track B ** Here ‘labeled data’ refers to labeled datasets pertaining to semantic relatedness or semantic similarity between units of text more than two words long. Evaluation The official evaluation metric for this task is the Spearman rank correlation coefficient, which captures how well the system-predicted rankings of test instances align with human judgments. You can find the evaluation script for this shared task on our Github page <https://github.com/semantic-textual-relatedness/Semantic_Relatedness_SemEva…> . Helpful Links - Competition Website: https://codalab.lisn.upsaclay.fr/competitions/15704 - Task Website: <https://afrisenti-semeval.github.io/> https://semantic-textual-relatedness.github.io - Twitter/X: <https://twitter.com/AfriSenti2023> https://twitter.com/SemRel2024 - Contact organisers semrel-semeval-organisers(a)googlegroups.com - Google group for participants semrel -semeval-participants(a)googlegroups.com Important Dates - Training data ready: 11 September 2023 - Evaluation Starts: *20 January 2024* - Evaluation End: 31 January 2024 - System Description Paper Due: 19 February 2024 - Notification of acceptance: 01 April 2024 - Camera-ready Due: 22 April 2024 - SemEval workshop: 16-21 June (co-located with NAACL 2024) NB. We will organise a QA mentorship tomorrow (January 16th 2024 from 4 to 5 pm GMT) and a system description writing tutorial in February for all participants, especially students and junior researchers. The zoom links will be shared by email and on Slack. References - Shima Asaadi, Saif Mohammad, Svetlana Kiritchenko. 2019. Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. - M. A. K. Halliday and R. Hasan. 1976. Cohesion in English. London: Longman. - George A Miller and Walter G Charles. 1991. Contextual Correlates of Semantic Similarity. Language and Cognitive Processes, 6(1):1–28 - Mohamed Abdalla, Krishnapriya Vishnubhotla, and Saif Mohammad. 2023. What Makes Sentences Semantically Related? A Textual Relatedness Dataset and Empirical Study. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 782–796, Dubrovnik, Croatia. Association for Computational Linguistics. Task Organizers Nedjma Ousidhoum Shamsuddeen Hassan Muhammad Mohamed Abdalla Krishnapriya Vishnubhotla Vladimir Araujo Meriem Beloucif Idris Abdulmumin Seid Muhie Yimam Nirmal Surange Christine De Kock Sanchit Ahuja Oumaima Hourrane Manish Shrivastava Alham Fikri Aji Thamar Solorio Saif M. Mohammad

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CfP: BUCC, 17th Workshop on Building and Using Comparable Corpora
by Pierre Zweigenbaum 15 Jan '24

15 Jan '24

17th Workshop on Building and Using Comparable Corpora --- Call for Papers Co-located with LREC-COLING 2024 Torino, Italia, 20 May 2024 Workshop website: https://comparable.limsi.fr/bucc2024/ LREC-COLING website: BLOCKEDlrec-coling-2024[.]org/BLOCKED Workshop proceedings to be published in the ACL Anthology MOTIVATION In the language engineering and linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, unrelated corpora on the other. Comparable corpora have been used in a range of applications, including Information Retrieval, Machine Translation, Cross-lingual text classification, etc. The linguistic definitions and observations related to comparable corpora can improve methods to mine such corpora for applications of neural NLP, for example, to extract parallel corpora from comparable corpora for neural machine translation. As such, it is of great interest to bring together builders and users of such corpora. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora: - Automatic and semi-automatic methods - Methods to mine parallel and non-parallel corpora from the web - Tools and criteria to evaluate the comparability of corpora - Parallel vs non-parallel corpora, monolingual corpora - Rare and minority languages, across language families - Multi-media/multi-modal comparable corpora Applications of comparable corpora: - Human translation - Language learning - Cross-language information retrieval & document categorization - Bilingual and multilingual projections - (Unsupervised) Machine translation - Writing assistance - Machine learning techniques using comparable corpora Mining from Comparable Corpora: - Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models - Extraction of parallel segments or paraphrases from comparable corpora - Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) - Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora - Induction of morphological, grammatical, and translation rules from comparable corpora - Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities: - Comparing linguistic phenomena across languages in contrastive linguistics - Analyzing properties of translated language in translation studies - Studying language change over time in diachronic linguistics - Assigning texts to authors via authors' corpora in forensic linguistics - Comparing rhetorical features in discourse analysis - Studying cultural differences in sociolinguistics - Analyzing language universals in typological research IMPORTANT DATES 21 Feb 2024: Paper submission deadline 24 Mar 2024: Notification of acceptance 7 Apr 2024: Camera-ready final papers 20 May 2024: Workshop date For updates, please see the workshop website at https://comparable.limsi.fr/bucc2024/ PRACTICAL INFORMATION The workshop is an in-person event. Workshop registration is via the main conference registration site, see BLOCKEDlrec-coling-2024[.]org/BLOCKED The workshop proceedings will be published in the ACL Anthology. SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at BLOCKEDlrec-coling-2024[.]org/authors-kit/BLOCKED Papers should be submitted as a PDF file using the START conference manager at https://secure-web.cisco.com/1UUoVNXimK0Jzna4dQKSutgJlLRB94SkbvGnq5AUpyqLNT… Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings, which will be included in the ACL Anthology. Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately (i.e. as soon as known to the authors) notified to the workshop organizers by e-mail. For further information and updates, please see the BUCC 2024 website: https://comparable.limsi.fr/bucc2024/ WORKSHOP ORGANIZERS - Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) - Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) - Serge Sharoff (University of Leeds, United Kingdom) Contact: pz (at) lisn (dot) fr PROGRAMME COMMITTEE - Ebrahim Ansari (Institute for Advanced Studies in Basic Sciences, Iran) - Thierry Etchegoyhen (Vicomtech, Spain) - Kyo Kageura (University of Tokyo, Japan) - Natalie Kübler (Université Paris Cité, France) - Philippe Langlais (Université de Montréal, Canada) - Yves Lepage (Waseda University, Japan) - Shervin Malmasi (Amazon, USA) - Michael Mohler (Language Computer Corporation, USA) - Emmanuel Morin (Nantes Université, France) - Dragos Stefan Munteanu (Language Weaver, Inc., USA) - Ted Pedersen (University of Minnesota, Duluth, USA) - Ayla Rigouts Terryn (KU Leuven, Belgium) - Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) - Nasredine Semmar (CEA LIST, Paris, France) - Silvia Severini (Leonardo Labs, Italy) - Serge Sharoff (University of Leeds, UK) - Richard Sproat (OGI School of Science & Technology, USA) - Tim Van de Cruys (KU Leuven, Belgium) - Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France)

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