- Corpora - ELRA lists

2nd CfP: 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’23)
by Andrey Kutuzov 10 Jul '23

10 Jul '23

Dear all, We are happy to remind that there will be a full-day workshop on computational approaches to historical language change (LChange’23) co-located with EMNLP (December 6-10, 2023). The Second Call for Papers is below. The main updates compared to the 1st CfP are: 1. The submission page is now up and running at https://openreview.net/group?id=EMNLP/2023/Workshop/LChange 2. To encourage resource sharing at the reviewing phase, model and dataset papers do not need to be anonymous. The reviewing for the papers of this type will thus be single-blind. ======================================== 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’23) ======================================== Website: https://www.changeiskey.org/event/2023-emnlp-lchange/ Date: Dec 6, 2023 Location: Singapore and online Contact email: lchange2023(a)changeiskey.org LChange'23 is the fourth workshop for computational approaches to historical language change with the focus on digital text corpora. Come join us for this exciting adventure! The workshop builds upon its first iteration in 2019 (https://languagechange.org/events/2019-acl-lcworkshop/), and the subsequent events (2021, 2022). LChange'19 resulted in a book on Computational approaches to semantic change (https://langsci-press.org/catalog/book/303). This year, LChange will be colocated with EMNLP 2023 in Singapore, as a hybrid event. The workshop will take place on Wednesday 6 December 2023. The main topic of the workshop remains the same: all aspects around computational approaches to historical language change with the focus on digital text corpora. We hope to make this fourth edition another resounding success! ==Important Dates== September 1, 2023: Paper submission October 6, 2023: Notification of acceptance October 18, 2023: Camera-ready papers due December 6, 2023: Workshop date ==Workshop Topics== This workshop explores state-of-the-art computational methodologies, theories and digital text resources on exploring the time-varying nature of human language. The aim of this workshop is three-fold. First, we want to provide pioneering researchers who work on computational methods, evaluation, and large-scale modelling of language change an outlet for disseminating cutting-edge research on topics concerning language change. We want to utilize this workshop as a platform for sharing state-of-the-art research progress in this fundamental domain of natural language research. Second, in doing so we want to bring together domain experts across disciplines by connecting researchers in historical linguistics with those that develop and test computational methods for detecting semantic change and laws of semantic change; and those that need knowledge (of the occurrence and shape) of language change, for example, in digital humanities and computational social sciences where text mining is applied to diachronic corpora subject to e.g., lexical semantic change. Third, the detection and modelling of language change using diachronic text and text mining raise fundamental theoretical and methodological challenges for future research. Besides these goals, this workshop will also support discussion on the evaluation of computational methodologies for uncovering language change. SemEval2020 Task 1 on unsupervised detection of lexical semantic change attracted three figure submission numbers and a total of 21 submitted system papers. Since then, three more tasks have been completed in Italian, Russian, and Spanish. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language ==Keynote Talks== To be announced. If you have any good suggestions, or anyone you would like to listen to, please contact us. ==Submissions== URL for submissions: https://openreview.net/group?id=EMNLP/2023/Workshop/LChange. We accept two types of submissions, long and short papers, following the EMNLP 2023 style (you can also directly use the Overleaf template), and the ACL submission policy: * https://2023.emnlp.org/calls/style-and-formatting/ * https://www.overleaf.com/latex/templates/instructions-for-emnlp-2023-procee… * https://www.aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submissio… Long and short papers may consist of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. LChange’23 also welcomes papers focusing on releasing a dataset or a model; these papers fall into the short paper category. To encourage resource sharing at the reviewing phase, model and dataset papers do not need to be anonymous. Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. ==Contact== Contact us if you have any questions: lchange2023(a)changeiskey.org Organizers: Nina Tahmasebi, Syrielle Montariol, Haim Dubossarsky, Andrey Kutuzov, Simon Hengchen, David Alfter, Francesco Periti, and Pierluigi Cassotti. If you have published in the field previously, and are interested in helping out in the PC to review papers, send us an email. ==Anti-Harassment Policy== Our workshop highly values the open exchange of ideas, the freedom of thought and expression, and respectful scientific debate. We support and uphold the ACL Anti-Harassment policy (https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy), and any workshop participant should feel free to contact any of the workshop organizers or acl(a)aclweb.org, in case of any issues. -- Andrey Language Technology Group (LTG) University of Oslo

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Second Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP
by Verna Dankers 10 Jul '23

10 Jul '23

*Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP* ****New: the Collaborative Benchmarking Task submissions are now open; visit * *https://github.com/GenBench/genbench_cbt <https://github.com/GenBench/genbench_cbt>.With the support of our workshop sponsor Amazon, we are now offering scholarships for travel expenses.**** Workshop description The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing. It is crucial to ensure that models behave robustly, reliably and fairly when making predictions about data that is different from the data that they were trained on. Generalisation is also important when NLP models are considered from a cognitive perspective, as models of human language. Yet, there are still many open questions related to what it means for an NLP model to generalise well and how generalisation should be evaluated. The first GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. In particular, the workshop aims to: - Bring together different expert communities to discuss challenging questions relating to generalisation in NLP; - Crowd-source a collaborative generalisation benchmark hosted on a platform for democratic state-of-the-art (SOTA) generalisation testing in NLP. The first GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2023. Submission types We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. 1. Regular workshop submissions Regular workshop submissions present papers on the topic of generalisation (see examples listed below) but are not intended to be included on the GenBench evaluation platform. Regular workshop papers may be submitted as an archival paper when they report on completed, original and unpublished research; or as a shorter extended abstract. More details on this category can be found below. Topics of interest include, but are not limited to: - Opinion or position papers about generalisation and how it should be evaluated; - Analyses of how existing or new models generalise; - Empirical studies that propose new paradigms to evaluate generalisation; - Meta-analyses that investigate how results from different generalisation studies compare to one another; - Meta-analyses that study how different types of generalisation are related; - Papers that discuss how generalisation of LLMs can be evaluated without access to training data; - Papers that discuss why generalisation is (not) important in the era of LLMs; - Studies on the relationship between generalisation and fairness or robustness. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench(a)googlegroups.com. 2. Collaborative Benchmarking Task submissions Collaborative benchmarking task submissions consist of a data/task artefact and a paper describing and motivating the submission and showcasing it on a select number of models. We accept submissions that introduce new datasets, resplits of existing datasets along particular dimensions, or in-context learning tasks, with the goal of measuring generalisation of NLP models. We especially encourage submissions that focus on: - Generalisation in the context of fairness and inclusivity; - Multilingual generalisation; - Generalisation in LLMs, where we have no control over the training data. Each submission should contain information about the data (URIs, format, preprocessing), model preparation (finetuning loss, ICL prompt templates), and evaluation metrics. These will be defined either in a configuration file or in code. More details about the collaborative benchmarking task submissions and example submissions can be found on our website: visit genbench.org/cbt for more information or github.com/GenBench/genbench_cbt to prepare your submission. Note that there is a sample data submission deadline (August 1) in addition to the final submission deadline (September 1). Participants proposing previously unpublished datasets or splits may choose to submit an archival paper or an extended abstract. Generalisation evaluation datasets that have already been published elsewhere (or will be published at EMNLP 2023) can be submitted to the platform, as well, but only through an extended abstract, citing the original publication. We allow dual submissions with EMNLP. For more information, see below. If you are in doubt about whether a particular type of dataset is suitable for submission, please consult the information page on our website, or reach out to the organisers of the workshop at genbench(a)googlegroups.com. Archival vs extended abstract Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2023 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website but will not be included in the proceedings. Submission instructions For both archival papers and extended abstracts, we refer to the EMNLP 2023 website for paper templates. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All papers can be submitted through OpenReview: https://openreview.net/group?id=GenBench.org/2023/Workshop. Collaborative Benchmarking Task submissions can be made via https://github.com/GenBench/genbench_cbt. We also accept regular workshop submissions (papers of category 1) through the ACL Rolling Review system. Authors that have their ARR reviews ready may submit their papers and reviews for consideration to the workshop. Important dates - August 1, 2023 – Sample data submission deadline - September 1, 2023 – Paper submission deadline - September 15, 2023 – ARR submission deadline - October 6, 2023 – Notification deadline - October 18, 2023 – Camera-ready deadline - December 6, 2023 – Workshop Note: all deadlines are 11:59 PM UTC-12:00 Dual submissions We allow dual submissions with EMNLP and encourage relevant papers that were dual-submitted and accepted at EMNLP to redirect to a non-archival extended abstract submission. We furthermore welcome submissions of extended abstracts that describe work already presented at an earlier venue, both in the collaborative benchmarking task and in the regular submission track. Preprints We do not have an anonymity deadline. Preprints are allowed, both before the submission deadline as well as after. Scholarships With the support of our workshop sponsor Amazon, we are offering 6 scholarships each covering up to $500 of travel expenses and/or (virtual) registration fees. Please check out our website for more information about the application process. Contact Email address: genbench(a)googlegroups.com Website: genbench.org/workshop On behalf of the GenBench team, Dieuwke Hupkes Khuyagbaatar Batsuren Koustuv Sinha Amirhossein Kazemnejad Christos Christodoulopoulos Ryan Cotterell Elia Bruni Verna Dankers

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Free webinar on CL programmes 11 July 3pm UK time
by Brezina, Vaclav 10 Jul '23

10 Jul '23

Hi all, If you'd like to find out more about Corpus linguistics programmes (MA, Post-graduate Certificate) as well as individual courses for credit offered by Lancaster University - all online learning - please join us tomorrow for a free webinar: https://forms.office.com/e/82JE20Wx88 Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:5d86929e-b78e-40c0-87c3-97c565294b0d]@vaclavbrezina [cid:584b3354-e395-47db-8cef-48305a301d03]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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BlackboxNLP 2023: The 6th Workshop on Analysing and Interpreting Neural Networks for NLP
by Hosein Mohebbi 10 Jul '23

10 Jul '23

*Call for Papers*: The sixth edition of BlackboxNLP, co-located with EMNLP 2023, in Singapore. *Important dates* --------------------- September 1, 2023 – Submission deadline. October 6, 2023 – Notification of acceptance. October 18, 2023 – Camera-ready papers due. December 7, 2023 – Workshop. Note: All deadlines are 11:59PM UTC-12 (anywhere on Earth). *Workshop description:* ----------------- Many recent performance improvements in NLP have come at the cost of understanding of the systems. How do we assess what representations and computations models learn? How do we formalize desirable properties of interpretable models, and measure the extent to which existing models achieve them? How can we build models that better encode these properties? What can new or existing tools tell us about these systems’ inductive biases? The goal of this workshop is to bring together researchers focused on interpreting and explaining NLP models by taking inspiration from fields such as machine learning, psychology, linguistics, and neuroscience. We hope the workshop will serve as an interdisciplinary meetup that allows for cross-collaboration. Topics of interest include, but are not limited to: * Applying analysis techniques from neuroscience to analyze high-dimensional vector representations in artificial neural networks; * Analyzing the network’s response to strategically chosen input in order to infer the linguistic generalizations that the network has acquired; * Examining network performance on simplified or formal languages; * Mechanistic interpretability, reverse engineering approaches to understanding particular properties of neural models; * Proposing modifications to neural architectures that increase their interpretability; * Testing whether interpretable information can be decoded from intermediate representations; * Explaining specific model predictions made by neural networks; * Generating and evaluating the quality of adversarial examples in NLP; * Developing open-source tools for analyzing neural networks in NLP; * Evaluating the analysis results: how do we know that the analysis is valid? *Submissions* ----------------- We call for two types of papers: 1) Archival papers. These are papers reporting on completed, original and unpublished research, with a maximum length of 8 pages + references. Papers shorter than this maximum are also welcome. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should report on obtained results rather than intended work. These papers will undergo double-blind peer-review, and should thus be anonymized. 2) Extended abstracts. These may report on work in progress or may be cross submissions that have already appeared in a non-NLP venue. The extended abstracts are of maximum 2 pages + references. These submissions are non-archival in order to allow submission to another venue. The selection will not be based on a double-blind review and thus submissions of this type need not be anonymized. Submissions should follow the official EMNLP 2023 style guidelines. *The submission site is:* https://www.softconf.com/emnlp2023/BlackboxNLP *Organizers* ----------------- Yonatan Belinkov, Technion Najoung Kim, Boston University Sophie Hao, New York University Arya McCarthy, Johns Hopkins University Jaap Jumelet, University of Amsterdam Hosein Mohebbi, Tilburg University *Contact* --------------------- Please contact the organizers at blackboxnlp(a)googlegroups.com for any questions. Read more: https://www.aclweb.org/portal/content/blackboxnlp-2023-6th-workshop-analysi…

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Four fully-funded 5-year PhD positions at University of Gothenburg, Sweden
by Peter Ljunglöf 09 Jul '23

09 Jul '23

[Apologies for cross-posting] The University of Gothenburg, Sweden, is offering four fully-funded PhD positions in computer science and engineering where the candidates can choose the project themselves out of fourteen options. Two of the projects are related to NLP, one about efficient algorithms for corpus searching, and another about automatic generation of Wikipedia articles. See the ad for more information: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… The positions are fully funded for 5 years, including 20% teaching or other departemental duties. Application deadline: 20 August 2023 best regards, Peter Ljunglöf ------- ------ ----- ---- --- -- - - - - - peter ljunglöf peter.ljunglof(a)gu.se data- och informationsteknik, och språkbanken göteborgs universitet och chalmers tekniska högskola -------------- --------- -------- ------- ------ ----- ---- --- -- - - - - -

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New articles for Asia Pacific Journal of Corpus Research (APJCR) Vol. 3, No. 1 are available online (Open Access)
by Prof CK Jung 08 Jul '23

08 Jul '23

Dear all Just wanted to let you know that APJCR Vol. 3, No. 1 is now available to view online. http://icr.or.kr/ejournals-apjcr CK --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Department of English Language and Literature, Incheon National University, *South Korea* Vice President | The Korea Association of Primary English Education (KAPEE), *South Korea* Vice President | The Korea Association of Secondary English Education (KASEE), *South Korea* Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor | Asia Pacific Journal of Corpus Research, ICR, *International* ( http://icr.or.kr/apjcr) Deputy Editor | Korean Journal of English Language and Linguistics, KASELL, *South Korea* 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 H(KR): http://prof1.inu.ac.kr/user/ckjung

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SIG WRITING 2024: First Call for Contributions
by Aleksandra MILETIC 08 Jul '23

08 Jul '23

*SIG Writing 2024* *Call for Conference Submissions and Research School Participation* The EARLI Special Interest Group *Writing*, *Paris Nanterre University* <https://www.parisnanterre.fr/> (France), *Sorbonne Nouvelle University * <http://www.univ-paris3.fr/>(France), and the *University of Turku * <https://www.utu.fi/fi>(Finland) invite proposals to the *20th biennial SIG Writing conference* to be held at Paris Nanterre University, Nanterre, France, from 26-28 June 2024. Prior to the conference, from 24-25 June 2024, the *Research School will be held.* The conference theme for SIG Writing 2024 is *ways2write*. Writing is a ubiquitous social and professional practice in most parts of the world. It takes on diverse, increasingly mixed and heterogeneous forms, manifests itself over ever wider spans of life and activity, exploits more and more media and technologies, and is increasingly fluid. The source and its individual and collective characteristics (age, cognitive abilities, human/non-human...), the medium, the context and the production objectives, time and space—all give rise to a diversity of writings and ways of writing, raising numerous questions in an interdisciplinary field. While the conference traditionally hosts a diversity of topics and approaches, proposals within the *ways2write* theme are particularly welcome. More information and *call for conference papers and Research School* participation at *SIG WRITING 2024 (google.com)* <https://sites.google.com/view/sig-writing-2024/conference-home?authuser=0> *Submission deadline: October 31, 2023* *Submission guidelines* The aim of the conference is to promote interaction among researchers who are interested in understanding the cognitive, social, and developmental processes involved in writing, who are concerned with designing writing instruction in various educational settings, or who are engaged with exploring the functions of writing in different social and institutional contexts. The scope of the conference is broad, and we hope to draw together a wide range of researchers and professionals. *CONFERENCE*: Presentation formats are Paper, Symposium, Poster, Roundtable, and Demonstration Session. The abstract should be 250-350 words (including any references). All proposals must be written in English and submitted using the online submission system: https://www.earli-eapril.org PhD students and early career researchers are invited to submit to and participate in the pre-conference Research School. *RESEARCH SCHOOL*: Presentation formats are Paper Presentation, Poster or 30' Article Manuscript Discussion. The abstract should be 350 words (including any references). All proposals must be written in English and submitted using the online submission system: https://www.earli-eapril.org For any questions, please contact us at *sigwriting24.paris(a)gmail.com* <sigwriting24.paris(a)gmail.com> You can also follow the updates on Twitter: *@SIGWriting2024 * <https://twitter.com/SIGWriting2024> And Facebook: SigWriting Paris

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2nd CFP: 16th BUCC Workshop with Shared Task on Terminology Extraction at RANLP 2023
by Reinhard Rapp 08 Jul '23

08 Jul '23

************************************************************** 16th Workshop on Building and Using Comparable Corpora (BUCC) with Shared Task on Multilingual Terminology Extraction from Comparable Specialized Corpora Co-located with RANLP 2023 September 7 or 8, 2023 Workshop website: https://comparable.limsi.fr/bucc2023/ Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html RANLP website: http://ranlp.org/ranlp2023/ Workshop proceedings to be published in ACL Anthology Invited speaker: Sida I. Wang, Meta AI (FAIR) ************************************************************** MOTIVATION In the language engineering and the 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 statistical NLP, for example to extract parallel corpora from comparable corpora for neural MT. 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 July 18, 2023: Paper submission deadline July 31, 2021: Notification of acceptance August 25, 2021: Camera ready final papers September 7 or 8, 2023: Workshop date For updates see the workshop website at https://comparable.limsi.fr/bucc2023/ PRACTICAL INFORMATION Workshop registration is via the main conference registration site, see http://ranlp.org/ranlp2023/index.php/fees-registration/ 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 http://ranlp.org/ranlp2023/index.php/submissions/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/ranlp23/BUCC/ 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 see the BUCC 2023 website: https://comparable.limsi.fr/bucc2023/ BUCC 2023 SHARED TASK Bilingual Term Alignment in Comparable Specialized Corpora The BUCC 2023 shared task is on multilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure the performance of the systems, the published results are not comparable and the pros and cons of the various approaches are not clear. The shared task aims at solving these problems by organizing a fair comparison of systems. This is accomplished by providing corpora and evaluation datasets for a number of language pairs and domains. Moreover, the importance of dealing with multi-word expressions in Natural Language Processing applications has been recognized for a long time. In particular, multi-word expressions pose serious challenges for machine translation systems because of their syntactic and semantic properties. Furthermore, multi-word expressions tend to be more frequent in domain-specific text, hence the need to handle them in tasks with specialized-domain corpora. Through the 2023 BUCC shared task, we seek to evaluate methods that detect pairs of terms that are translations of each other in two comparable corpora, with an emphasis on multi-word terms in specialized domains. For the schedule and further details see the shared task website at https://comparable.limsi.fr/bucc2023/bucc2023-task.html WORKSHOP ORGANIZERS * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) * Serge Sharoff (University of Leeds, United Kingdom) Contact workshop: reinhardrapp (at) gmx (dot) de Contact shared task: pz (at) lisn (dot) fr PROGRAMME COMMITTEE * Ebrahim Ansari (Institue for Advanced Studies in Basic Sciences, Iran) * Thierry Etchegoyhen (Vicomtech, Spain) * Philippe Langlais (Université de Montréal, Canada) * Yves Lepage (Waseda University, Japan) * Shervin Malmasi (Amazon, USA) * Emmanuel Morin (Université de Nantes, France) * Dragos Stefan Munteanu (RWS, USA) * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Nasredine Semmar (CEA LIST, Paris, France) * 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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Last Call for Papers – Extended Deadline (NLP4TIA)
by Dola Mullage, Damith P. 08 Jul '23

08 Jul '23

Apologies for cross posting International workshop NLP for translation and interpreting applications (NLP4TIA) Varna, Bulgaria, 7/8 September 2023 https://nlp4tia.web.uah.es/ Last Call for Papers – Extended Deadline In the last two decades, we have been able to witness a technological turn in translation and interpreting studies with Natural Language Processing (NLP) and deep learning playing more and more prominent part. There is already a growing number of NLP applications that are used to support the work of translators and interpreters. In addition, the recent advances in (and latest models of) deep learning have powered the further development and success of high performing Neural Machine Translation (NMT) systems. Translation technology has revolutionised the translation profession and nowadays most professional translators employ tools such as translation memory (TM) systems in their daily work. Latest advances of Neural Machine Translation (NMT) have resulted in NMT not only becoming an integral part of most state-of-the art TM tools but also typical for the translation workflow of many companies, organisations and freelance translators. Although translation has benefited more from technological advances, interpreting has also experienced a technological turn. However, it has not been until some years ago that soft technology has permeated interpreting practice and research. Computer assisted translation, MT and NLP tools have been adapted to be used by interpreters. In addition, corpus-based studies have also underpinned dialogue interpreting. The increasing interest in NLP, MT and the automation of processes has brought us to multidisciplinary projects that deal with the development of models for automated oral communication. Machine interpreting has already been developed and is being improved, focusing on speed and accuracy matters. Either domain-specific (commercial, military, humanitarian) or general (Skype Translator), there is still a long way to go to render machine interpreting more human-like. Many of the above recent developments have to do with the employment of Natural Language Processing tools and resources to support the work of translators and interpreters. This workshop is expected to discuss the growing importance of NLP in different translation and interpreting scenarios. Workshop topics The workshop invites submissions reporting original unpublished work on topics including but not limited to: * NLP and MT for under-resourced languages; * Translation Memory systems; * NLP and MT for translation memory systems; * NLP for CAT and CAI tools; * Integration of NLP tools in remote interpreting platforms; * NLP for dialogue interpreting; * Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services); * Corpus-based studies applied to translation and interpreting.; * Machine translation and machine interpreting; * Resources for translation and machine translation; * Resources for interpreting and interpreting technology application; * Quality estimation of human and machine translation; * Post-editing strategies and tools; * Automatic post-editing of MT; * NLP and MT for subtitling. * Technology acceptance by interpreters and translations; * Machine Translation and translation tools for literary texts; * Evaluation of machine translation and translation and interpreting tools in general; * The impact of the technological turn in translation and interpreting; * Cognitive effort and eye-tracking experiments in translation and interpreting; * Development of models for research and practice of translation and interpreting; * Multidisciplinary cooperation in NLP applied to translation and interpreting. Submissions and publication Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as NLP4TIAworkshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English and should be submitted via the conference management system START using this link<https://softconf.com/ranlp23/NLP4TIA/>. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions should be compliant with the below templates and should be uploaded as pdf files in START (START is configured to accept pdf files only). The following templates should be used: LaTeX at Overleaf<https://www.overleaf.com/latex/templates/instructions-for-ranlp-2023-procee…>, LaTeX<http://ranlp.org/ranlp2023/Templates/ranlp2023-LaTeX.zip> , MS Office<http://ranlp.org/ranlp2023/Templates/ranlp2023-word.docx> Important dates Deadline for paper submission: 10 July 2023 Deadline for paper submission (extended): 23 July 2023 Acceptance notification: 10 August 2023 Final camera-ready version: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 NLP4TIA workshop: 7/8 September 2023 Workshop Chairs Raquel Lázaro Gutiérrez (Universidad de Alcalá) Antonio Pareja Lora (Universidad de Alcalá) Ruslan Mitkov (Lancaster University) Programme Committee Cristina Aranda (Big Onion) Juanjo Arevalillo (Hermes Traducciones) Silvia Bernardini (University of Bologna) Gabriel Cabrera Méndez (Dualia Teletraducciones) Matt Coler (University of Groningen) Elena Davitti (University of Surrey) Joanna Drugan (Heriot-Watt University) Marie Escribe (LanguageWire) Claudio Fantinuoli (Mainz University/KUDO Inc) Antonio García Cabot (Universidad de Alcalá) Adriana Jaime Pérez (Migralingua Voze) Miguel Ángel Jiménez Crespo (Rutgers University) Óscar Luis Jiménez Serrano (University of Granada) Koen Kerremans (Free University Brussel) Maria Kunilovskaya (Saarland University) Els Lefever (Ghent University) Pilar León Arauz (University of Granada) Johanna Monti (University of Naples L’Orientale) Elena Montiel Ponsoda (Polytechnic University of Madrid) Helena Moriz (University of Lisbon) Elena Murgolo (Orbital 14) Dora Murgu (Interprefy) Constantin Orasan (University of Surrey) María Teresa Ortego Antón (University of Valladolid) Tharindu Ranasinghe (Aston University) Celia Rico (Universidad Complutense de Madrid) Caroline Rossi (University Grenoble les Alpes) María del Mar Sánchez Ramos (Universidad de Alcalá) Miriam Seghiri (University of Malaga) Vilelmini Sosoni (Ionian University) Rui Manuel Sousa Silva (University of Porto) Nicoletta Spinolo (University of Bologna) Venue The workshop will take place at hotel Cherno More<https://www.chernomorebg.com/en/> in Varna. Further information and contact details Registration for NLP4TIA is now open and is done via the RANLP main conference page. To register, please complete the registration form<https://url6.mailanyone.net/scanner?m=1pii0v-000B6E-3x&d=4%7Cmail%2F14%2F16…>. The conference website ( https://nlp4tia.web.uah.es/) will be updated on a regular basis. For further information, please email raquel.lazaro(a)uah.es<mailto:raquel.lazaro@uah.es>.

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CFP - SIMBig 2023 - New Dates in Mexico
by Juan Antonio Lossio-Ventura 08 Jul '23

08 Jul '23

> [Apologies for cross-posting] > ====================================================================== > NEW DATES - CFP - SIMBig 2023 > ====================================================================== > > SIMBig 2023 - 10th International Conference on Information Management and Big Data > Where: Instituto Politécnico Nacional, Mexico DF, MEXICO > When: October 18 - 20, 2023 > Website: https://simbig.org/SIMBig2023/ > > ====================================================================== > > OVERVIEW > ---------------------------------- > > SIMBig 2023 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS (to be confirmed) > ---------------------------------- > Mona Diab, Meta AI, USA Finale Doshi-Velez, Harvard University, USA Huan Liu, Arizona State University, USA > > IMPORTANT DATES > ---------------------------------- > > July 24, 2023 --> Full papers and short papers due > August 28, 2023 --> Notification of acceptance > September 10, 2023 --> Camera-ready versions > October 18 - 20, 2023 --> Conference held in Mexico DF, Mexico > > PUBLICATION > ---------------------------------- > > All accepted papers of SIMBig 2023 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899> (to be confirmed). > > Best papers of SIMBig 2023 (tracks including) will be selected to submit an extension to be published in the Springer SN Computer Science Journal. <https://www.springer.com/journal/42979> > TOPICS OF INTEREST > ---------------------------------- > > SIMBig 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Big/Masive Data > Data Science > Machine Learning > Deep Learning > Natural Language Processing > Semantic Web > Data-driven Software Engineering > Data-driven software adaptation > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > OLAP and Business intelligence > Crowdsourcing > > SPECIAL TRACKS > ---------------------------------- > > SIMBig 2023 proposes six special tracks in addition to the main conference: > > ANLP <https://simbig.org/SIMBig2023/en/anlp.html> - Applied Natural Language Processing > DISE <https://simbig.org/SIMBig2023/en/dise.html> - Data-Driven Software Engineering > EE-AI-HPC <https://simbig.org/SIMBig2023/en/eeaihpc.html> - Efficiency Enhancement for AI and High-Performance Computing > SNMAM <https://simbig.org/SIMBig2023/en/snmam.html> - Social Network and Media Analysis and Mining > > CONTACT > ---------------------------------- > > SIMBig 2023 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>)

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