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[Corpora-List]1st CfP: 3rd Workshop on Processing Figurative Language (FigLang '22)
by Beigman Klebanov, Beata 14 Jun '22

14 Jun '22

The main focus is on computational modeling of figurative language using state-of-the-art NLP techniques. However, papers on cognitive, linguistic, social, rhetorical, and applied aspects are also of interest, provided that they are presented within a computational, formal, or a quantitative framework. In addition, we will hold two shared tasks: grounded understanding of figurative language and euphemism detection. The workshop is co-located with EMNLP 2022. Paper submission deadline: September 7, 2022. For more information about topics, dates, and types of papers, please visit https://sites.google.com/view/figlang2022. ________________________________ This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited. Thank you for your compliance. ________________________________

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Call for Papers - Fifth Workshop on Technologies for MT of Low-Resource Languages (LoResMT 2022)
by Atul K. Ojha 14 Jun '22

14 Jun '22

Dear all, Apologies for cross-posting. You are requested to please circulate it for wider publicity. ................................................................................................................................. ===== The 5th Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2022) https://sites.google.com/view/loresmt @ COLING 2022 Gyeongju, Republic of Korea, October 12-17, 2022 SUBMISSION https://www.softconf.com/coling2022/LoResMT_2022/ TIMELINE Papers Due: July 18, 2022 (Monday) Notification of Acceptance: August 22, 2022 (Monday) Camera-ready papers due: September 5, 2022 (Monday) Conference date: October 12-17, 2022 SCOPE Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 ( https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/), and AMTA 2021, we introduce the Fifth LoResMT workshop at COLING 2022. The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. We also solicit papers dedicated to supplementary NLP tools that are used in any language and especially in low-resource languages. Overview papers of these NLP tools are very welcome. It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output. TOPICS We are highly interested in (1) original research papers, (2) review/opinion papers, and (3) online systems on the topics below; however, we welcome all novel ideas that cover research on low-resource languages. - COVID-related corpora, their translations and corresponding NLP/MT systems - Neural machine translation for low-resource languages - Work that presents online systems for practical use by native speakers - Word tokenizers/de-tokenizers for specific languages - Word/morpheme segmenters for specific languages - Alignment/Re-ordering tools for specific language pairs - Use of morphology analyzers and/or morpheme segmenters in MT - Multilingual/cross-lingual NLP tools for MT - Corpora creation and curation technologies for low-resource languages - Review of available parallel corpora for low-resource languages - Research and review papers of MT methods for low-resource languages - MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages - Pivot MT for low-resource languages - Zero-shot MT for low-resource languages - Fast building of MT systems for low-resource languages - Re-usability of existing MT systems for low-resource languages - Machine translation for language preservation SUBMISSION INFORMATION We are soliciting two types of submissions: (1) research, review, and position papers and (2) system demonstration papers. For research, review and position papers, the length of each paper should be at least four (4) and not exceed eight (8) pages, plus unlimited pages for references. For system demonstration papers, the limit is four (4) pages. Submissions should be formatted according to the official COLING 2022 style templates (LaTeX, Word, Overleaf). Accepted papers will be published online in the COLING 2022 proceedings and will be presented at the conference. Submissions must be anonymized and should be done using the official conference management system ( https://www.softconf.com/coling2022/LoResMT_2022/). Scientific papers that have been or will be submitted to other venues must be declared as such and must be withdrawn from the other venues if accepted and published at LoResMT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration is handled by the main conference ( https://coling2022.org/coling). ORGANIZING COMMITTEE (LISTED ALPHABETICALLY) Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua Language Processing LLP Chao-Hong Liu, Potamu Research Ltd Ekaterina Vylomova, University of Melbourne, Australia Jade Abbott, Retro Rabbit Jonathan Washington, Swarthmore College Nathaniel Oco, National University (Philippines) Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University Varvara Logacheva, Skolkovo Institute of Science and Technology Xiaobing Zhao, Minzu University of China PROGRAM COMMITTEE (LISTED ALPHABETICALLY) Alberto Poncelas, Rakuten, Singapore Alina Karakanta, Fondazione Bruno Kessler Amirhossein Tebbifakhr, Fondazione Bruno Kessler Anna Currey, Amazon Web Services Aswarth Abhilash Dara, Amazon Arturo Oncevay, University of Edinburgh Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua Language Processing LLP Bharathi Raja Chakravarthi, DSI, National University of Ireland Galway Beatrice Savold, University of Trento Bogdan Babych, Heidelberg University Chao-Hong Liu, Potamu Research Ltd Duygu Ataman, University of Zurich Ekaterina Vylomova, University of Melbourne, Australia Eleni Metheniti, CLLE-CNRS and IRIT-CNRS Francis Tyers, Indiana University Kalika Bali, MSRI Bangalore, India Koel Dutta Chowdhury, Saarland University (Germany) Jade Abbott, Retro Rabbit Jasper Kyle Catapang, University of the Philippines John P. McCrae, DSI, National University of Ireland Galway Liangyou Li, Noah’s Ark Lab, Huawei Technologies Maria Art Antonette Clariño, University of the Philippines Los Baños Mathias Müller, University of Zurich Nathaniel Oco, National University (Philippines) Rico Sennrich, University of Zurich Sangjee Dondrub, Qinghai Normal University Santanu Pal, WIPRO AI Sardana Ivanova, University of Helsinki Shantipriya Parida, Silo AI Sina Ahmadi, DSI, National University of Ireland Galway Sunit Bhattacharya, Charles University Surafel Melaku Lakew, Amazon AI Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University CONTACT Please email loresmt(a)googlegroups.com if you have any questions/comments/suggestions. Thanks, Atul

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[Corpora-List]Call for Papers: The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022)
by jackh＠allenai.org 13 Jun '22

13 Jun '22

The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022, Co-located with EMNLP 2022) Website: https://conll.org/ SIGNLL invites submissions to the 26th Conference on Computational Natural Language Learning (CoNLL 2022). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include: - Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP - Models of first, second and bilingual language acquisition by humans - Models of language evolution and change - Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments - Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods - Data resources, techniques and tools for scientifically-oriented research in computational linguistics - Connections between computational models and formal languages or linguistic theories - Linguistic typology, translation, and other multilingual work - Theoretically, cognitively and scientifically motivated approaches to text generation We welcome work targeting any aspect of language, including: - Speech and phonology - Syntax and morphology - Lexical, compositional and discourse semantics - Dialogue and interactive language use - Sociolinguistics - Multimodal and grounded language learning We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process. Submitted papers must be anonymous and use the EMNLP 2022 template. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed, according to the EMNLP 2022 guidelines. Please refer to the EMNLP 2022 Call for Papers for more details on the submission format. Submission is electronic, using the Softconf START conference management system. CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2022 Call for Papers. Briefly, non-anonymized manuscripts submitted to CoNLL cannot be posted to preprint websites such as arXiv or advertised on social media after May 30th, 2022. Multiple submission policy CoNLL 2022 will not accept papers that are currently under submission, or that will be submitted to other meetings or publications, including EMNLP. Papers submitted elsewhere as well as papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere will be rejected. Authors submitting more than one paper to CoNLL 2022 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. CoNLL 2022 has the same policy as EMNLP 2022 regarding ARR submissions. This means that CoNLL 2022 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline. We follow the EMNLP policy for papers that were previously submitted to ARR, or significantly overlap (>25%) with such submissions. Important Dates Anonymity period begins: May 30th, 2022 Submission deadline for START direct submissions: Thursday June 30th, 2022 Commitment deadline for ARR papers: August 1st, 2022 Notification of acceptance: Mid-September, 2022 Camera ready papers due: October 15th, 2022 Conference: December 7th, 8th, 2022 All deadlines are at 11:59pm UTC-12h ("anywhere on earth").

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[Corpora-List]Job Opening: Postdoctoral researcher (m/f/d) in Natural Language Processing, TrustHLT research group, TU Darmstadt, Germany
by ivan.habernal＠tu-darmstadt.de 13 Jun '22

13 Jun '22

The independent research group Trustworthy Human Language Technologies (TrustHLT) at the Department of Computer Science of the Technical University of Darmstadt, Germany has a job opening for a Postdoctoral researcher (m/f/d) in the recently acquired project “PrivaLingo: Truly Privacy-Preserving Machine Translation” by Dr. Ivan Habernal. This position will focus on a broad range of research questions related to privacy-preserving NLP models with a special focus on neural machine translation. A solid background in machine learning for natural language processing is essential, prior experience with differential privacy in model training is a plus. Wages and salaries are based on the collective agreement applicable to the TU Darmstadt (TV-TU Darmstadt). The starting date is as soon as possible, the position is funded until April 2024. Candidates The ideal candidate hold a PhD degree in computer science, computational linguistics, machine learning, or a related discipline, has a strong interest in privacy in natural language processing, excellent analytical and programming skills, is a team player, and is fluent in English. Diversity TU Darmstadt is strongly committed to diversity and particularly welcomes applications from members of underrepresented groups. Applications from female candidates are highly encouraged. Team TrustHLT is an independent research group led by Dr. Ivan Habernal, appointed at the Department of Computer Science of the Technical University of Darmstadt. The group conducts research in the field of natural language processing with a focus on privacy-preserving technologies and legal argumentation, see www.trusthlt.org for more details. The Department of Computer Science at TU Darmstadt regularly ranks among the top in Germany. Application Please send your detailed CV including a publication list, names of two referees, and a letter of motivation outlining your research interests to ivan.habernal(a)tu-darmstadt.de, subject: “Postdoc application PrivaLingo”. Send all documents as a single PDF (“PDF Arranger” is a helpful tool, for instance). Please do not hesitate to contact Dr. Habernal should you have any further questions. Deadline for applications is June 30, 2022. Applications arriving after the deadline will still be considered if the position is not filled yet.

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[Corpora-List]Corpora List has moved
by Knut Hofland 13 Jun '22

13 Jun '22

The Corpora List has moved and will now be served at ELRA. The new list address is: corpora(a)list.elra.info The information page can be accessed at: https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ All prior members are already subscribed and they can manage their settings by creating an account via this URL: https://list.elra.info/mailman3/accounts/signup/ Knut Hofland Former Listadm Corpora List (in Bergen)

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