February 2024 - Corpora

Asia Pacific Journal of Corpus Research (APJCR) Vol. 4, No. 1 is now available online
by Prof CK Jung 04 Sep '24

04 Sep '24

*Asia Pacific Journal of Corpus Research (APJCR) is now available online:* http://icr.or.kr/ejournals-apjcr *The Incredible Shrinking Noun Phrase: Ongoing Change in Japanese Word Formation*Kevin Heffernan, (Kwansei Gakuin University), JAPAN; Yusuke Imanishi (Kwansei Gakuin University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.1 ________________________________________ *Identifying Key Grammatical Errors of Japanese English as a Foreign Language Learners in a Learner Corpus: Toward Focused Grammar Instruction with Data-Driven Learning* Atsushi Mizumoto (Kansai University), JAPAN; Yoichi Watari (Chukyo University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.25 ________________________________________ *A Comparison of the Constructions Make / Take a Decision in Malaysian English with the Supervarieties * Christina Sook Beng Ong (Wawasan Open University), MALAYSIA DOI: https://doi.org/10.22925/apjcr.2023.4.1.43 ________________________________________ *Effects of Corpus Use on Error Identification in L2 Writing * Yoshiho Satake (Aoyama Gakuin University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.61 --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Associate Professor | Department of English Language and Literature, Incheon National University, *South Korea* President | The Korea Association of Secondary English Education, *South Korea *(http://kasee.org) Vice President | The Korea Association of Primary English Education), *South Korea *(http://kapee.or.kr) Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR, *International* (http://icr.or.kr/apjcr) Editorial Board | Corpora, Edinburgh University Press, *UK* Editorial Board | English Today, Cambridge University Press, *UK* E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129 H(EN): http://ckjung.org

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NLP4CALL 2023 Final call for papers
by David Alfter 22 Aug '24

22 Aug '24

== 12th NLP4CALL, Tórshavn, Faroe Islands== The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning; - that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL - that describe empirical studies on language learner data. This year a special focus is given to work done on error detection/correction and feedback generation. We encourage paper presentations and software demonstrations describing the above- mentioned themes primarily, but not exclusively, for the Nordic languages. ==Shared task== NEW for this year is the MultiGED shared task on token-level error detection for L2 Czech, English, German, Italian and Swedish, organized by the Computational SLA working group. For more information, please see the Shared Task website: https://github.com/spraakbanken/multiged-2023 ==Invited speakers== This year, we have the pleasure to announce two invited talks. The first talk is given by Marije Michel from the University of Amsterdam. The second talk is given by Pierre Lison from the Norwegian Computing Center. ==Submission information== Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references. We will be using the NLP4CALL template for the workshop this year. The author kit can be accessed here, alternatively on Overleaf: <https://spraakbanken.gu.se/sites/default/files/2023/NLP4CALL%20workshop%20t…> <https://spraakbanken.gu.se/sites/default/files/2023/nlp4call%20template.doc> <https://www.overleaf.com/latex/templates/nlp4call-workshop-template/qqqzqqy…> Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2023>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments. Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (<https://www.aclweb.org/anthology/venues/nlp4call/>). ==Important dates== 03 April 2023: paper submission deadline 21 April 2023: notification of acceptance 01 May 2023: camera-ready papers for publication 22 May 2023: workshop date ==Organizers== David Alfter (1), Elena Volodina (2), Thomas François (3), Arne Jönsson (4), Evelina Rennes (4) (1) Gothenburg Research Infrastructure for Digital Humanities, Department of Literature, History of Ideas, and Religion, University of Gothenburg, Sweden (2) Språkbanken, Department of Swedish, Multilingualism, Language Technology, University of Gothenburg, Sweden (3) CENTAL, Institute for Language and Communication, Université Catholique de Louvain, Belgium (4) Department of Computer and Information Science, Linköping University, Sweden ==Contact== For any questions, please contact David Alfter, david.alfter(a)gu.se For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…> Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/>

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1st CfP: Asia Pacific Journal of Corpus Research (APJCR) Vol. 4, No. 2 (Deadline: 15 October 2023)
by Prof CK Jung 31 May '24

31 May '24

[Apologies for cross-posting] Dear colleagues We are inviting submissions for the next issue of Asia Pacific Journal of Corpus Research, to appear on 31 December 2023. *ABOUT*The Asia Pacific Journal of Corpus Research (APJCR, e-ISSN 2733-8096, DOI: https://doi.org/10.22925/apjcr) is an international and interdisciplinary peer-reviewed journal intended to explore corpus research in the Asia Pacific region. APJCR addresses areas of methodological, applied and theoretical work in the field of corpus research. Examples of such include discourse analysis, lexical studies, grammatical studies, language acquisition, language learning, language education, lexicography, pragmatics, sociolinguistics, (machine) translation studies, (digital) literary studies, computational linguistics, speech, phonetics, deep learning and natural language understanding in conjunction with corpus. *NO ARTICLE PROCESS CHARGE*APJCR does not charge authors an Article Processing Fee (APF). *OPEN ACCESS POLICY*APJCR provides open access to its content under the principle in the academic field that making research freely available to the public supports a greater global exchange of knowledge. *SUBMISSION* Papers (in English or Korean) should be sent to *apjcreditor(a)icr.or.kr <apjcreditor(a)icr.or.kr>* *Full instruction can be found on http://icr.or.kr/apjcr <http://icr.or.kr/apjcr>* *IMPORTANT DATES*- Manuscript submission: 15 October 2023 - First decision (articles assessed by editors): October 2023 - Final decision: November 2023 - Production: December 2023 - Online publication: 31 December 2023 *APJCR ARCHIVE*- Google Scholar: https://scholar.google.co.kr/scholar?hl=ko&as_sdt=0%2C5&q=apjcr&btnG= - KoreaScience: http://koreascience.or.kr/journal/CPSOBX/v1n1.page *ENQUIRIES* help(a)icr.or.kr --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Associate Professor | Department of English Language and Literature, Incheon National University, *South Korea* President | The Korea Association of Secondary English Education, *South Korea *(http://kasee.org) Vice President | The Korea Association of Primary English Education), *South Korea *(http://kapee.or.kr) Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR, *International* (http://icr.or.kr/apjcr) Editorial Board | Corpora, Edinburgh University Press, *UK* Editorial Board | English Today, Cambridge University Press, *UK* E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129

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Call for papers 4th Workshop on Scholarly Document Processing - SDP@ACL 2024
by Tirthankar Ghosal 02 Apr '24

02 Apr '24

** Call for Research Papers ** Scholarly literature is the chief means by which scientists and academics document and communicate their results and is therefore critical to the advancement of knowledge and improvement of human well-being. At the same time, this literature poses challenges to NLP uncommon in other genres, such as specialized language and high background knowledge requirements, long documents and strong structural conventions, multimodal presentation, citation relationships among documents, an emphasis on rational argumentation, and the frequent availability of detailed metadata. These challenges necessitate the development of NLP methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, machine learning, text mining, information retrieval, digital libraries, scientometrics and others, to develop methods, tasks, and resources in support of these goals. This workshop builds on the success of prior workshops: the 1st, 2nd, and 3rd SDP workshops held at EMNLP 2020, NAACL 2021, and COLING 2022, and the 1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL. Website: https://sdproc.org/2024/ X (Twitter): https://twitter.com/sdpworkshop Topics of Interest We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant topics include (but are not limited to): - Large Language Models (LLMs) for Science - Representation learning and language modeling - Information extraction and NER - Document understanding - Summarization and generation - Question-answering - Discourse modeling/argumentation mining - Network analysis - Bibliometrics, scientometrics, and altmetrics - Reproducibility and research integrity, including new challenges posed by generative AI - Peer review tools, principles and technology - Metadata and indexing - Inclusion of datasets and computational resources - Research infrastructures and digital libraries - Increasing the representation in scholarly work of disadvantaged populations - LLM-based interfaces to consume/produce scholarly documents ** Submission Information ** Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer-review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found here: https://aclanthology.org/venues/sdp/). The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2024 formatting requirements: Long paper submissions: up to 8 pages of content, plus unlimited references. Short paper submissions: up to 4 pages of content, plus unlimited references. Submission Website: Paper submission has to be done through openreview: < https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SDProc> Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account. ** Important Dates (Main Research Track) ** Paper submission deadline: May 17 (Friday), 2024 Notification of acceptance: June 17 (Monday), 2024 Camera-ready paper due: July 1 (Monday), 2024 Workshop dates: August 16, 2024 ** SDP 2024 Keynote Speakers ** We are excited to have several keynote speakers at SDP 2024. 1. Iryna Gurevych, Professor at Technical University Darmstadt and head of the UKP Lab, Germany. 2. Anna Rogers, Assistant Professor, University of Copenhagen, Denmark 3. Heng Ji, Professor, University of Illinois at Urbana-Champaign, USA. 4. Doug Downey, Associate Professor at Northwestern University and Research Manager at Allen Institute for AI, USA. ** SDP 2024 Shared Tasks ** SDP 2024 will host two exciting shared tasks. More information about all shared tasks is provided on the workshop website: https://sdproc.org/2024/sharedtasks.html DAGPap24: Detecting automatically generated scientific papers A big problem with the ubiquity of Generative AI is that it has now become very easy to generate fake scientific papers. This can erode public trust in science and attack the foundations of science: are we standing on the shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP) competition aims to encourage the development of robust, reliable AI-generated scientific text detection systems, utilizing a diverse dataset and varied machine learning models in a number of scientific domains. Organizers: Savvas Chamezopoulos, Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard (Elsevier), Domenic Rosati (Scite) Context24: Contextualizing Scientific Figures and Tables When making sense of results across many research papers on a topic, figures or tables of key results from the papers can serve as effective, information-dense summaries that can be compared/contrasted and synthesized with other results. However, to understand the results, key elements (e.g., measures, sample) need to be contextualized with associated methodological details, which are typically dispersed throughout the text, often far from the figure/table and from each other. In this shared task, we are interested in contextualizing scientific figures and tables, i.e., automatically retrieving and ranking snippets from the paper that are most needed to interpret their results, with the goal of making figures/tables more self-contained. Organizers: Joel Chan, Matthew Akamatsu ** Organizing Committee ** Tirthankar Ghosal, Oak Ridge National Laboratory, USA Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany Aakanksha Naik, Allen Institute for AI, USA Shannon Shen, Massachusetts Institute of Technology, USA Amanpreet Singh, Allen Institute for AI, USA Anita de Waard, Elsevier, Netherlands Orion Weller, Johns Hopkins University, USA Yanxia Qin, National University of Singapore, Singapore Yoonjoo Lee, Korea Advanced Institute of Science & Technology, South Korea -- +++++++++++++++++++++++++++++++++++ *Tirthankar Ghosal* Scientist National Center for Computational Sciences (NCCS) Oak Ridge National Laboratory, United States ++++++++++++++++++++++++++++++++++++

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[CfP] DLnLD: Deep Learning and Linked Data — LREC-COLING Workshop — Last CfP
by Gilles Sérasset 26 Mar '24

26 Mar '24

DLnLD: Deep Learning and Linked Data — Last Call for Paper Workshop colocated with LREC-COLING 2024, Date: May 21, 2024 Submissions due: 9th March 2024 Venue: Torino, Italy and online For up to date info, check: https://dl-n-ld.github.io/ <https://dl-n-ld.github.io/> Call for Papers ---------------------------------------------------------------------------------------- What does Linguistic Linked Data brings to Deep Learning and vice versa ? Let’s bring together these two complementary approaches in NLP. ---------------------------------------------------------------------------------------- Motivations for the Workshop Since the appearance of transformers (Vaswani et al., 2017), Deep Learning (DL) and neural approaches have brought a huge contribution to Natural Language Processing (NLP) either with highly specialized models for specific application or via Large Language Models (LLMs) (Devlin et al., 2019; Brown et al., 2020; Touvron et al., 2023) that are efficient few-shot learners for many NLP tasks. Such models usually build on huge web-scale data (raw multilingual corpora and annotated specialized, task related, corpora) that are now widely available on the Web. This approach has clearly shown many successes, but still suffers from several weaknesses, such as the cost/impact of training on raw data, biases, hallucinations, explainability, among others (Nah et al., 2023). The Linguistic Linked Open Data (LLOD) (Chiarcos et al., 2013) community aims at creating/distributing explicitly structured data (modelled as RDF graphs) and interlinking such data across languages. This collection of datasets, gathered inside the LLOD Cloud (Chiarcos et al., 2020), contains a huge amount of multilingual ontological (e.g. DBpedia (Lehmann et al., 2015)); lexical (e.g., DBnary (Sérasset, 2015), Wordnet (McCrae et al., 2014), Wikidata (Vrandečić and Krötzsch, 2014)); or linguistic (e.g., Universal Dependencies Treebank (Nivre et al., 2020; Chiarcos et al., 2021), DBpedia Abstract Corpus (Brümmer et al., 2016)) information, structured using common metadata (e.g., OntoLex (McCrae et al., 2017), NIF (Hellmann et al., 2013), etc.) and standardised data categories (e.g., lexinfo (Cimiano et al., 2011), OliA (Chiarcos and Sukhareva, 2015)). Both communities bring striking contributions that seem to be highly complementary. However, if knowledge (ontological) graphs are now routinely used in DL, there is still very few research studying the value of Linguistic/Lexical knowledge in the context of DL. We think that, today, there is a real opportunity to bring both communities together to take the best of both worlds. Indeed, with more and more work on Graph Neural Networks (Wu et al., 2023) and Embeddings on RDF graphs (Ristoski et al., 2019), there is more and more opportunity to apply DL techniques to build, interlink or enhance Linguistic Linked Open Datasets, to borrow data from the LLOD Cloud for enhancing Neural Models on NLP tasks, or to take the best of both worlds for specific NLP use cases. Submission Topics This workshop aims at gathering researchers that work on the interaction between DL and LLOD in order to discuss what each approach has to bring to the other. For this, we welcome contributions on original work involving some of the following (non exhaustive) topics: • Deep Learning for Linguistic Linked Data, among which (but not exclusively): • Modelling, Resources & Interlinking, • Relation Extraction • Corpus annotation • Ontology localization • Knowledge/Linguistic Graphs creation or expansion • Linguistic Linked Data for Deep Learning, among which (but not exclusively): • Linguistic/Knowledge Graphs as training data • Fine tuning LLMs using Linguistic Linked (meta)Data • Graph Neural Networks • Knowledge/Linguistic Graphs embeddings • LLOD for model explainability/sourcing • Neural models for under-resourced languages • Joint Deep Learning and Linguistic Data applications • Use cases combining Language Models and Structured Linguistic Data • LLOD and DL for Digital Humanities • Question-Answering on graph data All application domains (Digital Humanities, FinTech, Education, Linguistics, Cybersecurity…) as well as approaches (NLG, NLU, Data Extraction…) are welcome, provided that the work is based on the use of BOTH Deep Learning techniques and Linguistic Linked (meta)Data. Important Dates All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) • Submissions due: 9th March 2024 (Hard deadline: there will be no deadline extension) • Notification of acceptance: 2nd April 2024 • Camera-ready due: 12th April 2024 Authors kit All papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. LREC-COLING 2024 Author’s Kit Page: https://lrec-coling-2024.org/authors-kit/ <https://lrec-coling-2024.org/authors-kit/> Paper submission Submission is electronic at https://softconf.com/lrec-coling2024/dlnld2024/ <https://softconf.com/lrec-coling2024/dlnld2024/> Workshop Chairs • Gilles Sérasset, Université Grenoble Alpes, France • Hugo Gonçalo Oliveira, University of Coimbra, Portugal • Giedre Valunaite Oleskeviciene, Mykolas Romeris University, Lithuania Program Committee • Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France • Russa Biswas, Hasso Plattner Institute, Potsdam, Germany • Milana Bolatbek, Al-Farabi Kazakh National University, Kazakhstan • Michael Cochez, Vrije Universiteit Amsterdam, Netherlands • Milan Dojchinovski, Czech Technical University in Prague, Czech Republic • Basil Ell, University of Oslo, Norway • Robert Fuchs, University of Hamburg, Germany • Radovan Garabík, L’. Štúr Institute of Linguistics, Slovak Academy of Sciences, Slovakia • Daniela Gifu, Romanian Academy, Iasi branch & Alexandru Ioan Cuza University of Iasi, Romania • Katerina Gkirtzou, Athena Research Center, Maroussi, Greece • Jorge Gracia del Río, University of Zaragoza, Spain • Dagmar Gromann, University of Vienna, Austria • Dangis Gudelis, Mykolas Romeris University, Lithuania • Ilan Kernerman, Lexicala by K Dictionaries, Israel • Chaya Liebeskind, Jerusalem College of Technology, Israel • Marco C. Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy • Heiko Paulheim, University of Mannheim, Germany • Alexandre Rademaker, IBM Research Brazil and EMAp/FGV, Brazil • Georg Rehm, DFKI GmbH, Berlin, Germany • Harald Sack, Karlsruhe Institute of Technology, Karlsruhe, Germany • Didier Schwab, Université Grenoble Alpes, France • Ranka Stanković, University of Belgrade, Serbia • Andon Tchechmedjiev, IMT Mines Alès, France • Dimitar Trajanov, Ss. Cyril and Methodius University – Skopje, Macedonia • Ciprian-Octavian Truică, POLITEHNICA Bucharest, Romania • Nicolas Turenne, Guangdong University of Foreign Studies, China • Slavko Žitnik, University of Ljubljana, Slovenia

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second call for papers: eacl 2024 SRW
by Neele Falk 07 Mar '24

07 Mar '24

** *SECOND CALL FOR PAPERS: EACL 2024 STUDENT RESEARCH WORKSHOP * * Student Research Workshop co-located with EACL 2024 in St. Julians, Malta. Workshop Dates: March 21/22 2024 ***Paper Submission Deadline: December 18, 2023 (Direct) and January 17, 2024 (through ARR)*** ** About the Student Research Workshop ** The EACL 2024 Student Research Workshop (SRW) is a forum to bring together students investigating various areas of Computational Linguistics and Natural Language Processing. The workshop provides an excellent opportunity for participants to present their work and to receive mentorship and valuable feedback from the international research community. The workshop's goal is to aid students at multiple stages of their education, including undergraduate, MSc/MA, junior and senior PhD students, in getting familiar with conducting and presenting their research. General Invitation for Submission* We invite papers in two different categories: * ** * Thesis Proposals: This category is appropriate for PhD students who have decided on a thesis topic and wish to get feedback on their proposal and broader ideas for their continuing work. * Research Papers: Papers in this category can describe completed work, or work in progress with preliminary results. For these papers, the first author **MUST BE** a current student (graduate or undergraduate). Topics of interest for the SRW are the same as for the main EACL 2024 conference:<https://www.2022.aclweb.org/calls>https://2024.eacl.org/calls/papers/ <https://2024.eacl.org/calls/papers/> We are opening a unique opportunity for the submission of research papers that, while not accepted to the EACL main conference, align well with the themes of this workshop. To be eligible for submission, the first author must be a current student. Additionally, submissions should be complemented with the reviews from ARR to provide context and insights for evaluation. The submission deadline for this will be January 17, 2024. Why Submit to EACL SRW? * Mentorship program: EACL SRW provides a unique opportunity for students to receive constructive feedback and advise from more senior researchers through our on-site mentorship program. * Improving your publication record: Publishing a paper as an undergraduate or as a MSc/MA student is beneficial when applying for a PhD program. Publishing a paper in an EACL SRW workshop can be really helpful for improving students’ publication records. * Negative results: we encourage the submission of studies with negative results providing insights on why and in which scenarios a particular method fails. All accepted papers and thesis proposals will be presented in the main conference poster sessions, which will give students an opportunity to interact with and to present their work to a large and diverse audience, including top researchers in the field and assigned mentors.** *Important Dates* **** * Direct Workshop paper submission: December 18, 2023 * Pre-reviewed ARR paper submission: January 17, 2024 * Notification of acceptance: January 20, 2024 * Camera-ready deadline: January 30 2024 * Workshop dates: March 21-22, 2024 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). ** Submission Requirements ** We accept both archival submissions (which will be included in the conference proceedings) and non-archival submissions (which will be presented at the workshop but will not be included in the proceedings). ** The archival submissions must follow the anonymity period and the restrictions of the main conference. Short papersconsist of up to four (4) pages of content, plus unlimited references. Upon acceptance, they will be given five (5) content pages in the proceedings. Long papersconsist of up to eight (8) pages of content, plus unlimited references. Upon acceptance, they will be given nine (9) content pages in the proceedings. Thesis proposalsconsist of up to eight (8) pages of content, plus unlimited references. The title must begin with “Thesis Proposal:”. Upon acceptance, they will be given nine (9) content pages in the proceedings. We strongly recommend the use of the official ARR style templates. The paper templates are available as an Overleaf template and can also be downloaded directly (LaTeX and Word) via https://aclrollingreview.org/cfp <https://aclrollingreview.org/cfp>under 'Paper Submission and Templates'. All submissions must be in PDF format. Submissions that do not adhere to the above author guidelines or ACL policies will be rejected without review. Submission is electronic, using the OpenReview conference management. The submission link is available here: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SRW <https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/SRW> Grants We expect to have grants to offset some portion of students' travel, conference registration, and accommodation expenses. Further details will be posted on the SRW website. To contact the organizers of the workshop, please email us at: eaclsrw(a)gmail.com Website and Contact Information For more information, please visit https://sites.google.com/view/eacl2024srw <https://sites.google.com/view/eacl2024srw>and follow us on Twitter @eacl_srw. To contact the organizers of the workshop, please email us at eaclsrw(a)gmail.com*

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PhD position in Low-Resource NLP & Modeling of Language Learning, University of Groningen
by Bisazza, A. 05 Mar '24

05 Mar '24

Applications are invited for a 4-year salaried PhD position within the research project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent Grant and coordinated by Principal Investigator (PI) dr. Arianna Bisazza. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP), Computational Psycholinguistics and Language Acquisition. Despite the impressive advances made possible by neural networks, current NLP systems are still far from displaying the learning abilities of humans in many languages. This project aims to improve language modeling for low-resource morphologically rich languages, taking inspiration from child language acquisition insights. Among other methodologies, an artificial language learning paradigm will be used to simulate the learning of typologically diverse languages and evaluate the effect of known properties of child-directed language on the acquisition of morphology and other language aspects. Other possible research directions include: the design of better input segmentation methods; language acquisition inspired curriculum learning; and leveraging existing language resources (like dictionaries or morphological analyzers) to boost the learning process in very low-resource settings. This PhD position offers a unique opportunity to acquire valuable research experience in an international environment: You will be part of the Computational Linguistics group <https://www.rug.nl/research/clcg/research/cl/?lang=en> (@ GroNLP <https://twitter.com/GroNlp>), which is part of the Centre for Language and Cognition of the University of Groningen (CLCG). Main requirement: A Master’s degree in computational linguistics, artificial intelligence, computer science, information science, or related area. Find more details and apply here by 11 March 2024: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Starting date: September 2024 For questions about the position: A. Bisazza a.bisazza(a)rug.nl (do not use email for applications) -- Arianna Bisazza Associate Professor University of Groningen http://www.cs.rug.nl/~bisazza

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Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering
by fiona.li.lucky＠gmail.com 29 Feb '24

29 Feb '24

Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering Dates: 11 - 13 October 2024 Venue: Shanghai, China Conference URL: https://conferences.computer.org/icebe/2024/index.html The IEEE International Conference on e-Business Engineering (ICEBE) is a prestigious conference, and a flagship event co-sponsored by IEEE Technical Committee on Business Informatics and Systems (TCBIS, formerly known as TC on Electronic Commerce), and the National Engineering Laboratory for E-Commerce Technologies (NELECT). Since 2003, ICEBE has been provided as a high-quality international forum for researchers, engineers and business specialists to exchange the cutting-edge ideas, findings and experiences of e-business. New IT breakthrough always brings the evolution of e-business in wide spectrum, e.g. innovative business model, new marketing and sales channel, rapid sense-and-response, etc. How to adapt the changing computing paradigm and adopt new IT technologies for keeping competitive is a great challenge for modern enterprises. Based on the essential complexities in e-business, ICEBE 2024 invites an extensive coverage of system, software, service, business, combinations of the aforementioned, etc. to address related issues and promote research opportunities. All of the accepted and presented papers in the conference will be included in the conference proceedings published by IEEE Computer Society. The proceedings will be submitted for inclusion in the IEEE Xplore Digital Library and will also be submitted to EI and INSPEC for indexing. The best quality papers presented in the conference will be selected and invited for journal special issues by creating an extended version. We invite submissions of high-quality papers describing fully developed results or on-going foundational and applied work on the various tracks. Important Date: Abstract Due: 12 June 2024 Full Paper Due: 15 June 2024 Notification Due: 31 July 2024 Camera-Ready Due: 07 August 2024 Registration Due: 09 August 2024 Conference start: 11 October 2024 Technical Tracks Agent Big Data/Machine Learning Internet of Things(IoTs) Mobile and Autonomous Computing Security, Privacy and Blockchain Service-Oriented and Cloud Software Engineering ECommerce Trading Technologies Diversity, Accessibility and Inclusivity Steering Committee Jen-Yao Chung, Inventec Corportation (USA) Kwei-Jay Lin, Universaity of California, Irvine (USA) Yinsheng Li, Fudan University (China) Liangzhao Zeng, Apple Inc. (USA) Kuo-Ming Chao, University of Roehampton (UK) Zhiyuan Fang, Sun Yat-sen University (China) Shang-Pin Ma, National Taiwan Ocean University (Taiwan) Omar Hussain, University of New South Wales (Australia) Qingyao Wu, South China University of Technology (China) Jingzhi Guo, University of Macua (China) Feng Tian, Xi'An Jiaotong University (China) Lihong Jiang, Shanghai Jiao Tong University (China) Nan Jiang, Bournemouth University (UK)

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Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering
by wei li 29 Feb '24

29 Feb '24

*Call for Papers: 2024 IEEE ICEBE: The IEEE International Conference on e-Business Engineering* *Dates*: 11 - 13 October 2024 *Venue*: Shanghai, China *Conference URL*: https://conferences.computer.org/icebe/2024/index.html The IEEE International Conference on e-Business Engineering (ICEBE) is a prestigious conference, and a flagship event co-sponsored by IEEE Technical Committee on Business Informatics and Systems <https://tc.computer.org/tcbis/> (TCBIS, formerly known as TC on Electronic Commerce), and the National Engineering Laboratory for E-Commerce Technologies (NELECT) <http://www.nelect.cn/>. Since 2003, ICEBE has been provided as a high-quality international forum for researchers, engineers and business specialists to exchange the cutting-edge ideas, findings and experiences of e-business. New IT breakthrough always brings the evolution of e-business in wide spectrum, e.g. innovative business model, new marketing and sales channel, rapid sense-and-response, etc. How to adapt the changing computing paradigm and adopt new IT technologies for keeping competitive is a great challenge for modern enterprises. Based on the essential complexities in e-business, ICEBE 2024 invites an extensive coverage of system, software, service, business, combinations of the aforementioned, etc. to address related issues and promote research opportunities. All of the accepted and presented papers in the conference will be included in the conference proceedings published by IEEE Computer Society <https://www.computer.org/>. The proceedings will be submitted for inclusion in the IEEE Xplore Digital Library and will also be submitted to EI and INSPEC for indexing. The best quality papers presented in the conference will be selected and invited for journal special issues by creating an extended version. We invite submissions of high-quality papers describing fully developed results or on-going foundational and applied work on the various tracks. *Important Date:* Abstract Due: 12 June 2024 Full Paper Due: 15 June 2024 Notification Due: 31 July 2024 Camera-Ready Due: 07 August 2024 Registration Due: 09 August 2024 Conference start: 11 October 2024 *Technical Tracks* Agent Big Data/Machine Learning Internet of Things(IoTs) Mobile and Autonomous Computing Security, Privacy and Blockchain Service-Oriented and Cloud Software Engineering ECommerce Trading Technologies Diversity, Accessibility and Inclusivity *Steering Committee* Jen-Yao Chung, Inventec Corportation (USA) Kwei-Jay Lin, Universaity of California, Irvine (USA) Yinsheng Li, Fudan University (China) Liangzhao Zeng, Apple Inc. (USA) Kuo-Ming Chao, University of Roehampton (UK) Zhiyuan Fang, Sun Yat-sen University (China) Shang-Pin Ma, National Taiwan Ocean University (Taiwan) Omar Hussain, University of New South Wales (Australia) Qingyao Wu, South China University of Technology (China) Jingzhi Guo, University of Macua (China) Feng Tian, Xi'An Jiaotong University (China) Lihong Jiang, Shanghai Jiao Tong University (China) Nan Jiang, Bournemouth University (UK)

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CLEF-2024 CheckThat! Lab -- Call for Participation (training set available for all tasks)
by Firoj Alam 29 Feb '24

29 Feb '24

(apologies for cross-posting) Dear colleague, Once again, we invite you to participate in the 2024 edition of the CheckThat! Lab at CLEF 2024. This year, we feature six tasks ---two follow-up and four new--- that correspond to important components within and around the full fact-checking pipeline in multiple languages: Task 1 Check-worthiness in tweets. to identify claims that could be important to verify on social- and mainstream media. Available in Arabic, English, Dutch and Spanish. Task 2 Subjectivity in news articles. to spot text that should be processed with specific strategies; benefiting the fact-checking pipeline. Available in Arabic, English, German, Italian, and Multilingual. Task 3 Persuasion Techniques. to identify text spans in which a persuasion technique is being issued to influence the reader. This task is offered in four languages: Arabic, Bulgarian, English, Portuguese and Slovene. Task 4 Detecting hero, villain, and victim from memes. Detecting hero, villain, and victim from memes:} to predict the role of each entity: hero, villain, victim, or other in a given meme and a list of entities. Available in Arabic, English and Code-mixed. Task 5 Rumor Verification using Evidence from Authorities. to retrieve evidence from trusted sources (authorities that have “real knowledge'' on the matter) and determine if the rumor is supported, refuted, or unverifiable according to the evidence. Available in Arabic and English. Task 6 Robustness of Credibility Assessment with Adversarial Examples. to discover small changes that could be applied to the misinformation text, causing the provided classifiers to make wrong predictions. Available for news articles, tweets, propaganda techniques and claims (including regarding COVID-19) in English. Further information: https://checkthat.gitlab.io/ Datasets: https://gitlab.com/checkthat_lab/clef2024-checkthat-lab <https://gitlab.com/checkthat_lab/clef2023-checkthat-lab> Register and participate: https://clef2024-labs-registration.dei.unipd.it/registrationForm.php <https://clef2023-labs-registration.dei.unipd.it/registrationForm.php> Important Dates --------------------- - 22 April 2024: Lab registration closes - 2 May 2024: Beginning of the evaluation cycle (test sets release) - 6 May 2024 (23:59 AOE): End of the evaluation cycle (run submission) - 31 May 2024: Deadline for the submission of working notes - 10 June 2024: Submission of Condensed Lab Overviews [LNCS] - 21 June 2024: Camera Ready Copy of Condensed Lab Overviews [LNCS] due - 24 June 2024: Notification of acceptance of working notes - 8 July 2024: Deadline for submission of camera-ready working notes - 22-26 July 2024: Preview of working notes - 9-12 September 2024: CLEF 2024 Conference in Grenoble, France Best regards, The CLEF-2024 CheckThat! Lab Shared Task Organizers

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