- Corpora - ELRA lists

JOB: Wissenschaftliche*r Mitarbeiter*in (m/w/d) im Bereich der digitalen Text- und Literaturwissenschaft
by Berenike Herrmann 08 Feb '23

08 Feb '23

Dear all, please distribute to potential candidates. Job ad in German, suitable for uni graduates (BA/MA e.g. in Digital Humanities / Data Science / Media Studies / Computer Linguistics) and people with XML-expertise who are interested in a part-time opportunity in the field of XML-database implementation ( 50%, one year ) in a project based in Bielefeld, Germany. Basic command of German necessary. I’d be happy to answer questions! Many thanks! Best, Berenike ############### An der Universität Bielefeld ist eine Stelle Wissenschaftliche*r Mitarbeiter*in (m/w/d) im Bereich der digitalen Text- und Literaturwissenschaft für das Projekt „KOLIMO+. Optimierung und Offene Publikation des Korpus der literarischen Moderne“ zum nächstmöglichen Termin zu besetzen. Das Projekt wird von Prof. Dr. Berenike Herrmann im Bereich Germanistik geleitet. Das von der NFDI Text+ geförderte Drittmittelprojekt zielt darauf ab, ein bestehendes Korpus-Datenset aus literarischen Texten nach philologischen und datenwissenschaftlichen Standards gemäß der FAIR- und CARE-Prinzipien aufzubereiten und langfristig interoperabel zu machen, indem es im Rahmen der Text+-Services zur Verfügung gestellt wird. Neben der Überführung der eXist-db Ressource in die TextGrid-Architektur und der sichtbaren Publikation als Use-Case soll es in Zusammenarbeit mit dem Text+-Kompetenzzentrum eine Fallstudie für die Implementierung einer API für das TextGrid-Repository bilden. Zentrales Aufgabenfeld ist die Entwicklung und Publikation der XML-Datenbank KOLIMO+ in Zusammenarbeit mit NFDI Text+ Kompetenzzentrum SUB Göttingen. Gesucht wird wissenschaftliche*r Mitarbeiter*in (m/f/d) mit BA oder MA-Abschluss in Digital Humanities / Data Science / Informatik / Medienwissenschaft / Computerlinguistik / Germanistik (oder anderem einschlägigen Fach) mit Erfahrung im Umgang mit X-Technologien (XML, XSLT, XPath) und XML-Datenbanken, Kenntnis mindestens einer Programmiersprache (z. B. R, Java oder Python) und Erfahrungen mit Application Programming Interfaces (API) oder die Fähigkeit und Bereitschaft, sich diese schnell anzueignen Je nach persönlicher Qualifikation bis zu E13 TV-L befristet auf 1 Jahr (§ 2 Abs. 1 WissZeitVG; entsprechend den Vorgaben des WissZeitVG und des Vertrages über gute Beschäftigungsbedingungen kann sich im Einzelfall eine abweichende Vertragslaufzeit ergeben) | Teilzeit 50 % Interessiert? Dann freuen wir uns über Ihre aussagekräftige Bewerbung. Bitte übersenden Sie uns hierfür Ihre vollständigen Bewerbungsunterlagen unter Angabe der Kennziffer Wiss23053 per E-Mail in einem pdf-Dokument an andrea.schrottenloher(a)unibielefeld.de oder per Post an die angegebene Adresse. Bewerbungsfrist: 01.03.2023 Link zur Ausschreibung: https://uni-bielefeld.hr4you.org/job/view/2223/wissenschaftliche-r-mitarbei… Wir freuen uns auf Bewerbungen! Mit freundlichen Grüßen, Berenike Herrmann Prof. Dr. Berenike Herrmann German Literature / Digital Humanities Bielefeld University https://jberenike.github.io/ Vice Chair SCC Collections NFDI text+ (National Research Data Infrastructure, Consortium text+) Speaker BiLinked CoP Data Literacy Principal Investigator SNF-Project “High Mountains Low Arousal? Distant Reading Topographies of Sentiment in German Swiss Novels in the early 20th Century” Principal Investigator SFB1288 Project “Vergleichspraktiken in der Genese, Verstetigung und Transformation von ‘Nationalliteratur’. Der Fall Deutschschweiz”

1 0

First Call for Task Proposals for SemEval-2024
by Atul K. Ojha 08 Feb '23

08 Feb '23

Apologies for cross-posting. ------------------------------------------------------------------------- ------ We invite proposals for tasks to be run as part of SemEval-2024 <https://semeval.github.io/SemEval2024/>. SemEval (the International Workshop on Semantic Evaluation) <https://semeval.github.io/>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-2024 <https://semeval.github.io/SemEval2024/cft>, we welcome any task that can test an automatic system for the semantic analysis of text, which could be an 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, SemEval-2022 <https://semeval.github.io/SemEval2022/> and SemEval-2023 <https://semeval.github.io/SemEval2023/>. We strongly encourage proposals based on pilot studies that have already generated initial data, as this can provide concrete examples and can help to foresee the challenges of preparing the full task. In the event of receiving many proposals, preference will be given to proposals that have already run a pilot study. 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? === 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 to 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 - Make the data available in a long-term repository under an appropriate license, preferably using Zenodo: https://zenodo.org/communities/semeval/ - 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. *=== Important dates ===* *- Task proposals due April 03, 2023 (Anywhere on Earth)- Task selection notification May 22, 2023* === Preliminary timetable === - Sample data ready July 15, 2023 - Training data ready September 1, 2023 - Evaluation data ready December 1, 2023 (internal deadline; not for public release) - Evaluation starts January 10, 2024 - Evaluation end by January 31, 2024 (latest date; task organizers may choose an earlier date) - Paper submission due February 2024 - Notification to authors on March 2024 - Camera-ready due April 2024 - SemEval workshop Summer 2024 (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 samples, training, and evaluation data) 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 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: https://openreview.net/group?id=aclweb.org/ACL/2023/Workshop/SemEval === Chairs === Ritesh Kumar, Dr. Bhimrao Ambedkar University Atul Kr. Ojha, SFI Insight 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 Contact: semevalorganizers(a)gmail.com

1 0

Corpus of events with geolocation
by Hristo Tanev 08 Feb '23

08 Feb '23

Dear Corpora members, I am searching for a corpus of conflict events, annotated with geolocation. I am well aware of ACLED, but it's event descriptions are created manually. Ideally it should be a corpus of news or social media messages containing descriptions of armed conflicts and protests and annotated with geographical information. If any of you is aware of a similar resource and directs me to it, I will be very thankful! Hristo Tanev, JRC, Ispra

2 1

Open full-time permanent positions -- NLP & argumentation
by elena_cabrio 08 Feb '23

08 Feb '23

Dear all, To develop its NLP activity, the WIMMICS team (https://team.inria.fr/wimmics/) at Inria Sophia Antipolis and Université Côte d’Azur (France) is looking for candidates for full-time permanent researcher and full-time assistant professor positions in natural language processing (NLP) and argumentation to join us in the beautiful French Riviera. We welcome profiles for both junior and senior positions. A PhD and at least one post-doctoral experience in NLP or ML for NLP are required for junior positions, whereas a longer track record is required for senior positions. Inria is the French national research institute for computer science and applied mathematics. World-class research, and, where relevant, transfer to industry and start-up creation are its main missions. The I3S Laboratory of Université Côte d’Azur and CNRS is one of the largest information and communication science laboratories in the French Riviera. The NLP research in WIMMICS focuses on NLP and argumentation, at the crossroad between machine and deep learning, linguistics and argumentation theory. Joining the NLP researchers of WIMMICS means working in a highly international and inclusive team within an exceptional scientific environment. The team is also part of the national Interdisciplinary Institute for Artificial Intelligence 3IA Côte d’Azur (https://3ia.univ-cotedazur.eu/). Junior permanent researchers are eligible to receive a welcome package including a full PhD grant and expenses. If you are interested, please contact Elena Cabrio (elena.cabrio(a)univ-cotedazur.fr) and Serena Villata (serena.villata(a)univ-cotedazur.fr) by February 15th, 2023. All the best, Elena Cabrio (Full professor - Université Côte d’Azur) Serena Villata (Research director - CNRS)

1 0

Call for Paper - Journal of Innovations in Computer Science and Engineering (JICSE)
by Mehrnoush Shams fard 08 Feb '23

08 Feb '23

Dear Colleagues, We would like to invite you to contribute either a review paper or an original research paper for the inaugural issue of the newly launched journal - Journal of Innovations in Computer Science and Engineering (JICSE, https://jicse.sbu.ac.ir/) free of charge. Your paper will be easily accessed and read, as it will be freely available online. Domains to be covered include, but are not limited to: • Artificial Intelligence, Robotics, Cognitive Computing • Cloud and Distributed Computing • Computer Architecture and Network • Security and Privacy • Software and Information Systems Submission guidelines To submit a manuscript, please visit https://jicse.sbu.ac.ir/. All manuscripts will be peer-reviewed in accordance with the established policies and procedures of the journal. Papers will be selected for publication following the outcome of the peer review process. Important Dates Submission deadline: February 19, 2023 First notification: March 31, 2023 Final decision notification: May 31, 2023 Expected publication date: July 31, 2023 Background Journal of Innovations in Computer Science and Engineering (JICSE) is an international research journal sponsored by the Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran . It is published Semiannual in English in both print and online versions. JICSE provides a high-quality international platform for academic researchers, industry professionals and other constituent communities in the broad field of Computer Science and Engineering to impart and share the latest research results and knowledge in the form of research articles and reviews. Authors can take advantage of the following benefits: open access; free of APC, rapid publication, and thorough peer review. If you are interested in this invitation, you could directly submit at: https://jicse.sbu.ac.ir/ Editor-in-Chief: Prof. Mohsen Ebrahimi Moghadam Journal Address: Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran Email: jicse(a)sbu.ac.ir Phone: +982129904147 Kind Regards Mehrnoush Shamsfard, PhD. Faculty of Computer Science and Engineering. NLP Research Lab, Head. Shahid Beheshti University Tehran, Iran

1 0

[FinWeb-2023] Extended Deadline - Feb. 14, 2023
by CHUNG-CHI CHEN 07 Feb '23

07 Feb '23

* We apologize if you receive multiple copies of this CFP * Dear colleagues, We are writing to inform you that the submission deadline for FinWeb-2023 has been extended to Feb. 14, 2023 (AoE). Below are some bullet points of this year's FinWeb. (1) FinWeb-2023 will be held on April 30, 2023 in conjunction with The Web Conference 2023 (WWW-2023) in AUSTIN, TEXAS, USA. (2) Dr. James Zhang, Managing Director of AI Prediction and Strategy Platform of Ant Group, will share their experience on the topic of China‘s First Natural Language-based AI Chatbot Trader. (3) We offer a USD$500 prize in the main track to the Best Paper Award winner. (4) We invite both regular papers (8 pages) and posters/demonstrations (4 pages). Please refer to our site for more details: https://sites.google.com/nlg.csie.ntu.edu.tw/finweb-2023/home Looking forward to your joining! Best Regards, Chung-Chi --- 陳重吉 (Chung-Chi Chen), Ph.D. Researcher Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan E-mail: c.c.chen(a)acm.org <cjchen(a)nlg.csie.ntu.edu.tw> Website: http://cjchen.nlpfin.com

1 0

Call for Participation: 5th Summer Datathon on Linguistic Linked Open Data (SD-LLOD’23), June 11-16, Croatia
by Thierry Declerck 07 Feb '23

07 Feb '23

[apologies for cross-posting] 5th Summer Datathon on Linguistic Linked Open Data (SD-LLOD’23) =============================================================== The 5th Summer Datathon on Linguistic Linked Open Data (SD-LLOD-23)will be held physically from June 11thto June 16rd2023 at Castle Luznica, Zaprešić, Croatia. See https://datathon2023.jezik.hr/ <https://datathon2023.jezik.hr/> The SD-LLOD datathon has the main goal of providing practical knowledge to people from industry and academia in the application of Linked Open Data technology to Linguistics and Language Technology. The ultimate goal is to enable participants to migrate their own (or other’s) linguistic data and publish them as Linked Data on the Web and/or develop applications on top of Linguistic Linked Data (LLD). One of the main focus points this year will be the use ofdeep learning and neural approaches to/from LLD. This datathon series is unique in its topic worldwide and continues from the success of the previous editions in 2015 and 2017 in Cercedilla (Spain), 2019 in Dagstuhl (Germany), and 2022 in Cercedilla again. This edition is supported by COST (European Cooperation in Science and Technology) https://cost.eu/ <https://cost.eu/>through NexusLinguarum, the “European network for Web-centred linguistic data science” COST Action (CA18209, https://nexuslinguarum.eu/ <https://nexuslinguarum.eu/>). During the datathon, participants will be able to: * Generate their own Linguistic Linked Data from existing data sources, using visual toolslike VocBench and community standards like OntoLex lemon * Applysemantic technologies(linked data, knowledge graphs, RDF, SPARQL) to the field of language resources and learn about their benefits and applications for specific use cases, particularly those involving multilingual and/or multimodal aspects. * Explore the potential use of embeddings, machine learning, and deep learningtechniques in combination with Linguistic Linked Data. For instance: * Neural machine translation from Natural Language to SPARQL * Generating natural language from knowledge graphs * Acquiring relations with neural language models The program of the summer datathon will contain three types of sessions: 1. Seminars to explain theoretical aspects and discuss selected topics. 2. Hands-on sessionsto introduce the basic foundations of each topic, method, and technique, which participants will apply directly through different practical assignments. 3. Datathon sessions,where participants will work, in groups of 3-5, on miniprojects and where they will apply what they have learned, involving the generation and/or use of Linguistic Linked Data. Participants are invited to propose a “miniproject” related to the topics of the datathon, which might include some datasets for their conversion into linked data. In this edition, we particularly encourage miniprojects that involve interaction with machine learning, deep learning, or embeddings techniques. A selection of proposals will form the basis for the miniprojects which the participants will work on during the datathon sessions. Participants who do not propose a miniproject, or whose miniproject is not selected, will be able to join another miniproject. There will be an award for the best miniproject. Registration ============ The datathon is a sponsored event, and it hasno registration fee, but participants are expected to cover the cost of their meals and accommodation at the castle residence. Details about the registration can be found at the datathon website: https://datathon2023.jezik.hr/ <https://datathon2023.jezik.hr/> Registration will close on 25/04/2023. At least ten travelling grantsfor students will be provided by NexusLinguarum (covering accommodation, meals and travel expenses), more details will appear in the datathon website. COVID statement ============== The datathon is planned as a physical event. The local organisation is committed to guaranteeing a safe event. Note that there might be some COVID rules to comply with at the time of celebration of the event. These will be announced in due course. Important dates (tentative) ====================== Registration opens: 13/02/2023 Registration closes: 25/04/2023 Notification: 4/05/2023 Datathon: 11/06/2023 to 16/06/2023 Organisers ========= Jorge Gracia (University of Zaragoza, Spain) Christian Chiarcos (University of Augsburg, Germany)Dagmar Gromann (University of Vienna, Austria) Thierry Declerck (DFKI, Germany) Milan Dojchinovski (CTU in Prague, Czech Republic / DBpedia Association, Germany) Local organiser ============= Ana Ostroški (Institute of Croatian Language and Linguistics, Croatia) Kristina Despot (Institute of Croatian Language and Linguistics, Croatia) Confirmed tutors and lecturers [to be completed] ========================================= Mehwish Alam (Institut Polytechnique de Paris, France) Christian Chiarcos (University of Augsburg, Germany)Michael Cochez (Vrije Universiteit Amsterdam, The Netherlands) Dagmar Gromann (University of Vienna, Austria) Thierry Declerck (DFKI, Germany) Milan Dojchinovski (CTU in Prague, Czech Republic / DBpedia Association, Germany) Jorge Gracia (University of Zaragoza, Spain) Max Ionov (University of Cologne, Germany) Armando Stellato (University of Rome Tor Vergata, Italy) Andon Tchechmedjiev (IMT École des Mines d’Alès, France) -- You received this message because you are subscribed to the Google Groups "Prêt-à-LLOD" group. To unsubscribe from this group and stop receiving emails from it, send an email to Pret-a-llod+unsubscribe(a)insight-centre.org. To view this discussion on the web, visit https://groups.google.com/a/insight-centre.org/d/msgid/Pret-a-llod/CAMe8T%2… <https://groups.google.com/a/insight-centre.org/d/msgid/Pret-a-llod/CAMe8T%2…>.

1 0

Call for participation: BioLaySumm shared task @BioNLP Workshop, ACL 2023
by Tomas Goldsack 07 Feb '23

07 Feb '23

*BioLaySumm 2023* *Shared Task*: *Lay Summarization of Biomedical Research Articles @BioNLP Workshop, ACL 2023* Biomedical publications contain the latest research on prominent health-related topics, ranging from common illnesses to global pandemics. This can often result in their content being of interest to a wide variety of audiences including researchers, medical professionals, journalists, and even members of the public. However, the highly technical and specialist language used within such articles typically makes it difficult for non-expert audiences to understand their contents. Abstractive summarization models can be used to generate a concise summary of an article, capturing its salient point using words and sentences that aren’t used in the original text. As such, these models have the potential to help broaden access to highly technical documents when trained to generate summaries that are more readable, containing more background information and less technical terminology (i.e., a “lay summary”). This shared task surrounds the abstractive summarization of biomedical research articles, with an emphasis on controllability and catering to non-expert audiences. Through this task, we aim to help foster increased research interest in controllable summarization that helps broaden access to technical texts and progress toward more usable abstractive summarization models in the biomedical domain. It is the second shared task being run as part of the BioNLP workshop 2023, which is being hosted at ACL 2023 in Toronto, Canada (July 13th or 14th). For more information, see: - Main site: https://biolaysumm.org/ - Subtask 1 - Lay Summarisation - CodaLab page: https://codalab.lisn.upsaclay.fr/competitions/9541 - Subtask 2 - Readability-controlled Summarization - CodaLab page: https://codalab.lisn.upsaclay.fr/competitions/9544 Detailed descriptions of the motivation, the tasks, and the data are also published in: - Goldsack, T., Zhang, Z., Lin, C., Scarton, C.. Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature. EMNLP 2022. - Luo, Z., Xie, Q., Ananiadou, S.. Readability Controllable Biomedical Document Summarization. EMNLP 2022 Findings. *Organizers:* - Chenghua Lin, Deputy Director of Research in the Department of Computer Science, University of Sheffield. - Sophia Ananiadou, Turing Fellow, Director of the National Centre for Text Mining, and Deputy Director of the Institute of Data Science and AI at the University of Manchester - Carolina Scarton, Department of Computer Science, University of Sheffield - Qianqian Xie, University of Manchester - Tomas Goldsack, University of Sheffield - Zheheng Luo, University of Manchester - Zhihao Zhang, Beihang University

1 0

Final CfP - VarDial 2023
by Scherrer, Yves 07 Feb '23

07 Feb '23

VarDial 2023, the Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, will be co-located with EACL 2023. VarDial 2023 will be organized on May 5 or 6 as a hybrid workshop with options for both on-site and remote participation. We welcome research paper submissions discussing computational methods and language resources for closely related languages, language varieties and dialects. We also accept pre-reviewed research papers with their ARR reviews. Full call for papers: https://sites.google.com/view/vardial-2023/call-for-papers Paper submission site: https://softconf.com/eacl2023/VarDial2023/ Important dates: - Paper submission for reviewing: February 20 (EXTENDED) - Submission of pre-reviewed papers: March 6 - Notification of acceptance: March 16 - Camera-ready papers due: March 27 Together with VarDial 2023, we are organizing three shared tasks: - SID for low-resource language varieties (SID4LR) - Discriminating Between Similar Languages - True Labels (DSL-TL) - Discriminating Between Similar Languages - Speech (DSL-S) Full call for participation: https://sites.google.com/view/vardial-2023/shared-tasks Paper submission site: https://softconf.com/eacl2023/VarDial2023/ Important dates: - Submission of test set predictions due: February 27 (EXTENDED) - System description submission: March 6 (EXTENDED) - Notification of acceptance: March 16 - Camera-ready papers due: March 27

1 0

Call for Participation: PAN 2023 Challenge on Authorship Verification, Author Profiling, Multi-Author Analysis, and Trigger Detection
by Magdalena Anna Wolska 07 Feb '23

07 Feb '23

------------------------------------------------------------------------------- PAN 2023: Call for Participation ------------------------------------------------------------------------------- We'd like to invite you to participate in the following shared tasks: 1. Cross-Discourse Type Authorship Verification Given two texts from written and oral Discourse Types, determine if they are written by the same author. 2. Profiling Cryptocurrency Influencers with Few-shot Learning Given a small set of tweets, determine the interest and intent of an influencer. 3. Multi-Author Writing Style Analysis Given a document, determine at which positions the author changes. 4. Trigger Detection Given a document, assign all appropriate trigger warning labels. Find out more at pan.webis.de/clef23/pan23-web PAN 2023 will be held in conjunction with the CLEF conference in Thessaloniki. ------------------------------------------------------------------------------- Important Dates (tentative) ------------------------------------------------------------------------------- now open Registration May 10, 2023 Early bird software submission (optional) May 29, 2023 Software submission June 05, 2023 Participant paper submission June 23, 2023 Peer review notification July 07, 2023 Camera-ready participant papers submission Sep 18-21, 2023 Conference

1 0