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Final CFP + Deadline Extension: Computational Approaches to Historical Language Change 2023 (LChange’23)
by Syrielle Montariol 30 Aug '23

30 Aug '23

****Apologies for possible cross-posting **** Dear all, We are happy to remind you 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). This is the *last Call for Papers*. You can find the details below. New elements to note: 1. *We're extending the submission deadline by one week, until September 8th!* 2. After the success of last year, we're re-opening the LChange Student Mentoring sessions! Interested students should send us a one-page research statement in relation to the topics of this workshop, and we will pair them with a senior researcher. This is not limited to authors who submit a paper to the workshop. Application deadline: October 10th 3. Via our sponsor, Iguanodon.ai, we can offer one free registration for a PhD student! More details below. Application deadline: October 10th. 4. Papers already submitted to EMNLP'23 can enter our fast-track submission process. You need to provide us with the reviews and your OpenReview paper ID. Submission deadline: October 8th. ============================================== 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 a 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. We hope to make this fourth edition another resounding success! ==Important Dates== September 1, 2023: *Paper submission EXTENDED TO SEPTEMBER 8, 2023* October 6, 2023: Notification of acceptance October 18, 2023: Camera-ready papers due December 6, 2023: Workshop date ==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 <https://2023.emnlp.org/calls/style-and-formatting/> (you can also directly use the Overleaf template <https://www.overleaf.com/latex/templates/instructions-for-emnlp-2023-procee…>), and the ACL submission policy <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 model and dataset 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. ==Sponsor== We gratefully acknowledge the contribution of iguanodon.ai as gold sponsor. Registration sponsorship: Thanks to iguanodon.ai, we are sponsoring the registration fees for the EMNLP conference, including the yearly ACL membership fee, for several students and early-career researchers. We therefore would like to invite interested candidates to apply by email, by October 10th 23:59 CEST, to syrielle.montariol(a)gmail.com with the following information: - Short CV - 500-word abstract about current research - Whether it would be your first xACL event - Whether you have an accepted paper at EMNLP 2023 (including workshops) - Confirmation of your “student” status if you are one We particularly encourage sponsorship applications from diverse backgrounds and underrepresented groups in the NLP community. ==Workshop Topics== This workshop explores state-of-the-art computational methodologies, theories, and digital text resources to explore 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 modeling 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 who develop and test computational methods for detecting semantic change and laws of semantic change; and those who 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 modeling 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 Task1 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== Mario Giulianelli, Institute for Logic, Language and Computation of the University of Amsterdam ==Contact== Contact us if you have any questions: lchange2023(a)changeiskey.org If you have published in the field previously, and are interested in helping out in the PC to review papers, send us an email. Organizers: Nina Tahmasebi, Syrielle Montariol, Haim Dubossarsky, Andrey Kutuzov, Simon Hengchen, David Alfter, Francesco Periti, and Pierluigi Cassotti. ==Anti-Harassment Policy== Our workshop highly values the open exchange of ideas, 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 (acl(a)aclweb.org), in case of any issues.

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ALTA 2023 Shared Task - Second Call
by Diego Molla-Aliod 29 Aug '23

29 Aug '23

CALL FOR PARTICIPATION http://www.alta.asn.au/events/sharedtask2023<http://www.alta.asn.au/events/sharedtask2023> The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students. Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology. This year's shared task is fitting for the times we are living: Distinguish between human-generated and AI-generated text. The prize for the winning team will be $500 (AUD). The tentative key dates are: Right Now - Registration and release of training and development data 27 Sep 2023 - Release of test data 03 Oct 2023 - Deadline of submission of runs 06 Oct 2023 - Notification of results 25 Oct 2023 - Deadline of submission of system description 29 Nov - 1 Dec 2023 - Presentation of results at ALTA 2023 Details of the task and registration are available at the competition website (https://www.alta.asn.au/events/sharedtask2023<https://www.alta.asn.au/events/sharedtask2023>) Good luck! Diego Molla-Aliod

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The 4th Scholarly Document Processing (SDP) Workshop: Participation Interest Survey
by Tirthankar Ghosal 29 Aug '23

29 Aug '23

Dear Colleagues, Please vote for your interest in the Scholarly Document Processing workshop! The organizing committee for the Scholarly Document Processing (SDP) workshop invites expressions of interest in participating in the 4th edition of the SDP workshop series (to be held in 2024, if accepted). We would also like to solicit your feedback on focus areas of interest and shared tasks that you would like to participate in. We will use this information to tailor our workshop focus in order to best reflect the community’s current interests. If you would be interested in participating in SDP 2024, please fill out the brief survey at this link: https://forms.office.com/r/iURXpy2Ztx [1] . The deadline for submitting this survey is /Monday, August 28 (anywhere on earth)/. Thank you again for helping us to make the scholarly document processing community an integral part of the computational linguistics community! Read more: https://www.aclweb.org/portal/content/4th-edition-scholarly-document-proces… [1] https://forms.office.com/r/iURXpy2Ztx Best, Tirthankar -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://member.acm.org/~tghosal ++++++++++++++++++++++++++++++++++++

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Business Informatics Librarian/Specialist, University of Arizona Libraries
by heather froehlich 28 Aug '23

28 Aug '23

Dear all, The University of Arizona Libraries’ Data Cooperative unit seeks a Business Informatics Librarian/Specialist. The incumbent will develop a robust program supporting business informatics and data literacy through a variety of formats, providing up-to-date and on-demand training for relevant tools and resources. The Business Informatics Specialist / Librarian will: stay abreast of trends and tools available in the evolving business informatics ecosystem; provide technical support and training in the use of tools and workflows to support scholarship in business-related data analysis, management, and visualization; work with library colleagues and researchers to identify appropriate tools, platforms, and resources for business analytics and visualization projects; collaborate with other members of the Data Cooperative and Research Engagement to develop outreach strategies and partnerships for supporting projects on computational and data literacy; identify opportunities for impactful engagement in business informatics by the University Libraries; contribute to the scholarly record through research, creative works, and/or scholarship. We require: An advanced degree in a business administration, economics, management information systems, finance, or related field or master’s degree in library and information science from an ALA-accredited institution; Demonstrated experience with evolving landscape of business informatics technologies and resources, such as visualization, data analysis, and predictive modeling. The salary is listed as being between $63,000 - $76,000, and September 27, 2023 is the date of first review. For a full description of the role and required application materials, please see https://arizona.csod.com/ux/ats/careersite/4/home/requisition/17412?c=arizo… . Thank you! Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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BlackboxNLP 2023: The 6th Workshop on Analysing and Interpreting Neural Networks for NLP
by Hosein Mohebbi 28 Aug '23

28 Aug '23

*Last Call for Papers*: The sixth edition of BlackboxNLP, co-located with EMNLP 2023, in Singapore. *Important dates* --------------------- ****September 1, 2023 – Submission deadline *(via Softconf: https://www.softconf.com/emnlp2023/blackboxnlp2023/)*** October 6, 2023 – Notification of acceptance October 18, 2023 – Camera-ready papers due December 7, 2023 – Workshop Note: All deadlines are *11:59 PM 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/blackboxnlp2023/ *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://blackboxnlp.github.io https://www.aclweb.org/portal/content/blackboxnlp-2023-6th-workshop-analysi…

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CfP: GEM - Industrial Track
by Enrico Santus 28 Aug '23

28 Aug '23

💎 You still have few more days to submit your #papers <https://www.linkedin.com/feed/hashtag/?keywords=papers&highlightedUpdateUrn…> to the Industrial Track of the #GEM2023 <https://www.linkedin.com/feed/hashtag/?keywords=gem2023&highlightedUpdateUr…> #workshop <https://www.linkedin.com/feed/hashtag/?keywords=workshop&highlightedUpdateU…>, which will be co-located with #EMNLP <https://www.linkedin.com/feed/hashtag/?keywords=emnlp&highlightedUpdateUrns…>, in December in #Singapore <https://www.linkedin.com/feed/hashtag/?keywords=singapore&highlightedUpdate…> 💎 📅 8 September 2023: Workshop paper submission deadline This track will address the unique challenges faced by non-academic colleagues, highlighting the differences in evaluation practices between academic and industrial research, and explore the challenges in evaluating generative models with real-world data. The Industrial Track invites submissions covering the following topics, including (but not limited to): 💎 Breaking Barriers: Bridging the Gap between Academic and Industrial Research (example) 💎 From Data Diversity to Model Robustness: Challenges in Evaluating Generative Models with Real-World Data (example) 💎 Beyond Metrics: Evaluating Generative Models for Real-World Business Impact (example, example, example) For more information, visit: https://gem-benchmark.com/workshop -- Enrico Santus, PhD *Head of Human Computation* *CTO Office at Bloomberg LP* *Website*: www.esantus.com *E-mail*: esantus(a)gmail.com *All opinions expressed in my private e-mails are my own, and they do not represent any group, institution or company to which I am associated.*

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Research Position on Computational Models of Misunderstanding in Germany
by mroth＠coli.uni-saarland.de 28 Aug '23

28 Aug '23

The independent research group on "Computational Models of Misunderstanding for Complex Instructional Text" invites applications for one research associate. The position is funded through a grant in the Emmy Noether Programme of the German Research Foundation (DFG---Deutsche Forschungsgemeinschaft), which funds projects similar to an ERC Starting Grant or NSF CAREER Award. The group is headed by Dr. Michael Roth and currently hosted by the Institute for Natural Language Processing ("IMS") at the University of Stuttgart, Germany [1 <https://www.ims.uni-stuttgart.de/en/institute/researchgroups/mist/>]. The project is concerned with the systematic analysis and computational modelling of text passages that can lead to misunderstandings. A substantial amount of previous work has studied misunderstandings in dialogue, but suitable resources for written language are scarce because misunderstandings cannot be observed directly from a text. Since readers and writers typically do not interact, it is important for authors to ensure that texts leave no room for misinterpretation. Otherwise, for example, medical instructions may be followed incorrectly, and route directions may not guide navigators to their desired destination. The announced position plays a key role in the project's final phase, leveraging previously created resources (e.g. [2 <https://aclanthology.org/2022.lrec-1.354/>,3 <https://aclanthology.org/2020.lrec-1.702/>]) and connecting to the group's award-winning earlier work (e.g. [4 <https://aclanthology.org/2021.eacl-srw.5/>,5 <https://aclanthology.org/2022.semeval-1.146/>]). Potential areas of focus for the successful candidate include delving deeper into specific linguistic factors that may lead to misunderstandings (such as elements of implicit or underspecified language), enhancing classification models by incorporating additional information (such as commonsense knowledge or multi-modal context), and/or testing these models in practical applications (such as question answering or machine translation). The position is initially available until February 2025, with a start date as soon as possible (e.g. December 2023) and the possibility of extension (for a total of at least 2 years). Compensation will be in accordance with the German TV-L E13 salary scale at 100% (approx. 4,000 EUR *gross* per month). Successful applicants will have obtained a Ph.D. (or are close to completing their thesis) in computational linguistics, machine learning, or a closely related field, with a particular interest in semantics and pragmatics or downstream applications. Programming skills and the ability to work in a team are taken for granted. The candidate should be able to work and communicate in English (no proficiency of German is required). Applications should include a motivation letter including research interests, a CV, a list of publications and contact information of up to three references. Applications should be sent *as a single PDF file* to Michael Roth by email. Applications received by 23 September 2023 will receive full consideration, but the position will remain open until filled. Candidates who identify as female, LGBTQ+ and/or as members of any underrepresented group are particularly encouraged to apply. Feel free to contact Michael Roth (head of group) or Nicola Fanton (PhD student) for any question regarding the group or position. [1] https://www.ims.uni-stuttgart.de/en/institute/researchgroups/mist/ [2] https://aclanthology.org/2022.lrec-1.354/ [3] https://aclanthology.org/2020.lrec-1.702/ [4] https://aclanthology.org/2021.eacl-srw.5/ (best student paper) [5] https://aclanthology.org/2022.semeval-1.146/ (best task description paper) -- Dr. Michael Roth Emmy Noether Group Leader Institute for Natural Language Processing University of Stuttgart

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Job : Postdoc (12 months), NLP and gender stereotypes in the French media, Universite Grenoble Alpes, France
by François Portet 25 Aug '23

25 Aug '23

Call for postdoc applications in Natural Language Processing for the automatic detection of gender stereotypes in the French media (Grenoble Alps University, France) Starting date: flexible, November 30, 2023, at the latest Duration: full-time position for 12 months Salary: according to experience (up to 4142€/ month) Application Deadline: Open until filled Location: The position will be based in Grenoble, France. This is not a remote work. Keywords: natural language processing, gender stereotypes bias, corpus analysis, language models, transfer learning, deep learning *Context* The University of Grenoble Alps (UGA) has an open position for a highly motivated postdoc researcher to joint the multidisciplinary GenderedNews project. Natural Language Processing models trained on large amount of on-line content, have quickly opened new perspectives to process on-line large amount of on-line content for measuring gender bias in a daily basis (see our project https://gendered-news.imag.fr/ <https://gendered-news.imag.fr/> ). Regarding research on stereotypes, most recent works have studied Language Models (LM) from a stereotype perspective by providing specific corpora such as StereoSet (Nadeem et al., 2020) or CrowS-Pairs (Nangia et al. 2020). However, these studies are focusing on the quantifying of bias in the LM predictions rather than bias in the original data (Choenni et al., 2021). Furthermore, most of these studies ignore named entities (Deshpande et al., 2022) which account for an important part of the referents and speakers in news. In this project, we intend to build corpora, methods and NLP tools to qualify the differences between the language used to describe groups of people in French news. *Main Tasks* The successful postdoc will be responsible for day-to-day running of the research project, under the supervision of François Portet (Prof UGA at LIG) and Gilles Bastin (prof UGA at PACTE). Regular meetings will take place every two weeks. - Defining the dimensions of stereotypes to be investigated and the possible metrics that can be processed from a machine learning perspective. - Exploring, managing and curating news corpora in French for stereotypes investigation, with a view to making them widely available to the community to favor reproducible research and comparison. - Studying and developing new computational models to process large number of texts to reveal stereotype bias in news. Make use of pretrained models for the task. - Evaluate the methods on curated focused corpus and apply it to the unseen real longitudinal corpus and analyze the results with the team. - Preparing articles for submission to peer-reviewed conferences and journals. - Organizing progress meetings and liaising between members of the team. The hired person will interact with PhD students, interns and researchers being part of the GenderedNews project. According to his/her background his/her own interests and in accordance with the project's objective, the hired person will have the possibility to orient the research in different directions. *Scientific Environment* The recruited person will be hosted within the GETALP teams of the LIG laboratory (https://lig-getalp.imag.fr/ <https://lig-getalp.imag.fr/>), which offers a dynamic, international, and stimulating environment for conducting high-level multidisciplinary research. The person will have access to large datasets of French news, GPU servers, to support for missions as well as to the scientific activities of the labs. The team is housed in a modern building (IMAG) located in a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by the Times Higher Education magazine in 2018. The person will also closely work with Gilles Bastin (PACTE, a Sociology lab in Grenoble) and Ange Richard (PhD at LIG and PACTE). The project also includes an informal collaboration with "Prenons la une" (https://prenonslaune.fr/ <https://prenonslaune.fr/>) a journalists’ association which promotes a fair representation of women in the media. *Requirements* The candidate must have a PhD degree in Natural Language Processing or computer science or in the process of acquiring it. The successful candidate should have - Good knowledge of Natural Language Processing - Experience in corpus collection/formatting and manipulation. - Good programming skills in Python - Publication record in a close field of research - Willing to work in multidisciplinary and international teams - Good communication skills - Good mastering of French is required *Instructions for applying* Applications will be considered on the fly and must be addressed to François Portet (Francois.Portet(a)imag.fr <mailto:Francois.Portet@imag.fr>). It is therefore advisable to apply as soon as possible. The application file should contain - Curriculum vitae - References for potential letter(s) of recommendation - One-page summary of research background and interests for the position - Publications demonstrating expertise in the aforementioned areas - Pre-defense reports and defense minutes; or summary of the thesis with the date of defense for those currently in doctoral studies *References* Deshpande et al. (2022). StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes. arXiv preprint arXiv:2205.14036. Choenni et al. (2021). Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? arXiv preprint arXiv:2109.10052. Nadeem et al. (2020) StereoSet: Measuring stereotypical bias in pretrained language models. ArXiv. Nangia et al. (2020) CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models. In EMNLP2020. -- François PORTET Professeur - Univ Grenoble Alpes Laboratoire d'Informatique de Grenoble - Équipe GETALP Bâtiment IMAG - Office 333 700 avenue Centrale Domaine Universitaire - 38401 St Martin d'Hères FRANCE Phone: +33 (0)4 57 42 15 44 Email:francois.portet@imag.fr www:http://membres-liglab.imag.fr/portet/

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LAST CFP: ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing, December 16-17, 2023
by Mourad Abbas 25 Aug '23

25 Aug '23

Last Call for Papers (06 days left for submission) 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/2023welcome> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing research in the field. ICNLSP 2023 aims to attract contributions related to natural language and speech processing. Authors are invited to present their work relevant to the topics of the conference. The following list includes the topics of ICNLSP 2023 but not limited to: Signal processing, acoustic modeling. Architecture of speech recognition system. Deep learning for speech recognition. Analysis of speech. Paralinguistics in Speech and Language. Pathological speech and language. Speech coding. Speech comprehension. Summarization. Speech Translation. Speech synthesis. Speaker and language identification. Phonetics, phonology and prosody. Cognition and natural language processing. Text categorization. Sentiment analysis and opinion mining. Computational Social Web. Arabic dialects processing. Under-resourced languages: tools and corpora. New language models. Arabic OCR. Lexical semantics and knowledge representation. Requirements engineering and NLP. NLP tools for software requirements and engineering. Knowledge fundamentals. Knowledge management systems. Information extraction. Data mining and information retrieval. Machine translation. NLP for Arabic heritage documents. *IMPORTANT DATES* Submission deadline: *31 August 2023* Notification of acceptance: *31 October 2023* Camera-ready paper due: *20 November 2023* Conference dates: *16, 17 December 2023* *PUBLICATION* 1- All accepted papers will be published in ACL Anthology ( https://aclanthology.org/venues/icnlsp/). 2- Selected papers will be published in Signals and Communication Technology (Springer) (https://www.springer.com/series/4748), indexed by Scopus and zbMATH. For more details, visit the conference website: https://www.icnlsp .org/2023welcome *CONTACT* icnlsp(at)gmail(dot)com Best regards, Mourad Abbas

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[CfP] Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023
by Tirthankar Ghosal 25 Aug '23

25 Aug '23

*** Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/2023/ *** *** Twitter: https://twitter.com/wiesp_nlp *** Building on the success of the First WIESP at AACL-IJCNLP 2022, the Second Workshop on Information Extraction from Scientific Publications (WIESP) will provide a platform to researchers to foster discussion and research on information extraction, mining, generation, and knowledge discovery from scientific publications using Natural Language Processing and Machine Learning techniques. A lot of technological change happened in one year (since the 1st WIESP), especially with Generative Artificial Intelligence research. We are incorporating a few additional topics to stay abreast with the latest developments and research in the community. The 2nd iteration of WIESP would focus on the following topics (but not limited to): - Large Language Models (LLMs) for Science - Application of LLMs on information extraction, generation, mining and knowledge discovery from scientific publications - Probing LLMs for scientific fact checking and misinformation - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata In addition to research paper presentations, WIESP will also feature keynote talks, a panel discussion on “Large Language Models and Scientific Literature Mining'', and shared tasks. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. We strongly encourage participation of students, researchers, and science practitioners from diverse backgrounds, especially from underrepresented groups and communities, to be a part of WIESP events, and pro-actively make the workshop a diverse and inclusive one. ***Call for Papers*** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. In addition to papers, WIESP will also host shared tasks. More details on the WIESP shared tasks will be available on our website shortly. Also, we will publish separate CfPs on the shared tasks. Shared task authors will be invited to write their system descriptions and those will be subjected to peer review. ***Shared Task: Function of Citation in Astrophysics Literature (FOCAL)*** The citation graph is an essential tool for helping researchers find relevant literature. To further empower discovery, we aim to label the edges of the graph with the function of the citation: e.g. is the cited work necessary background knowledge, or is it used as a comparison, to the citing work? To start this process, we propose a shared task of automatically labeling citations with a function based on the textual context of the citation. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2023/SharedTasks All accepted papers would be published in the WIESP proceedings as part of IJCNLP-AACL 2023 and indexed in the ACL Anthology. ***Important Dates*** - Paper Submission Deadline: August 25, 2023 - Notification of workshop paper/abstract acceptance: October 2, 2023 - Camera-ready Submission Deadline: October 15, 2023 - Workshop: November 2-4, 2023 (online, final date TBD) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ***Submission Website and Format*** Submission Link: TBD (please have an eye on the website) Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. We follow the same policies as IJCNLP-AACL 2023 regarding preprints and double submissions. The anonymity period for WIESP 2023 is from July 25 to August 25. ***Organizers*** - Tirthankar Ghosal, National Center for Computational Sciences, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA - Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://member.acm.org/~tghosal ++++++++++++++++++++++++++++++++++++

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