August 2023 - Corpora

Re: RANLP 2023 Call for Participation
by Sina Ahmadi 31 Aug '23

31 Aug '23

I second Edyta's points too. I have been on this list since 2015 and since then, the mailing list's standout feature has lied in its informative capacity to circulate calls for papers and job opportunities. While occasional "discussions" have also been a breath of fresh air, the current discourse doesn't quite align with this sentiment. It would be more beneficial if the list could enhance its utility by containing intense discussions privately rather than disseminating them widely. Thanks. Best regards, Sina Ahmadi Postdoctoral Researcher & Adjunct Lecturer Geroge Mason University http://sinaahmadi.github.io/ **On the job market! I'm seeking out new opportunities to collaborate and innovate as a researcher and lecturer (in Europe).** ________________________________ De : Daniela Cesiri via Corpora <corpora(a)list.elra.info> Envoyé : mercredi 30 août 2023 11:32 À : Edyta Jurkiewicz-Rohrbacher <edytaj(a)gmail.com> Cc : corpora(a)list.elra.info <corpora(a)list.elra.info> Objet : [Corpora-List] Re: RANLP 2023 Call for Participation Dear All, I agree with Edyta's polite remarks. I find the discussions below purely informative posts quite confusing, and I am "losing track" of the original posts to the point that I fear I might miss calls that could be relevant for my work, or miss discussions that are worth joining. Before Edyta's remarks I was even considering leaving the list because of the current situation in the list. So, I join Edyta's kind request to keep discussions as separate threads and leave call for papers/abstracts or job calls as purely informative posts. Perhaps opening a new, separate discussion thread might be an alternative option that would allow us to filter the different kinds of communications we received from the list. Best wishes to everyone, Daniela Cesiri Il Mer 30 Ago 2023, 17:15 Edyta Jurkiewicz-Rohrbacher via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> ha scritto: Dear Ada, dear all, I'm a bit concerned with what has been going with the list recently. The list, as far as I understand, serves several purposes. One of them is purely informative, where one informs the community about potentially interesting jobs, conferences etc. If I open an answer to a job advertisment, I expect it will be a question useful for the potential applicants or correction about, for example, deadlines. Another thing is to ask questions or start some discussions on various topics, either theoretical or purely practical. There I will expect people sharing their experience and opinions. What I do not find ok, is giving the feedback to purely informational posts in the way Ada does. In my opinion the discussions whether words or sentences are up-to-date concepts in any (general)linguistic or computational linguistic framework should be led in separate threads. (Notice also that the problem of text segmentation has been topic for already long time.) Summing up, I wouldn't mind if Adas comments were presented maybe privately to the authors of posts, or discussed in separate list-mails. Otherwise, we are facing chaos here. Summing up, I would be more than happy to participate, if discussions about the relation between linguistics and NLP took place, but not mixed with advertisments. I hope I did not offend anybody with this message. Best, Edyta Jurkiewicz-Rohrbacher śr., 30 sie 2023 o 16:35 Gilles Sérasset via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> napisał(a): > > Dear Ada, dear all, > > I am not a linguist but a computational scientist which is quite used to talk with (and tries to understand) linguists. I must say that I usually read your mails as thoroughly as my schedule and patience allows me to, but, to be honest, I also have a rather negative feeling when reading your “discourse”. > > In this discourse, I see facts + interpretation + rhetorics. > > [Here I take the risk of caricaturing for the sake of shortness, I hope you will understand that I have no time nor intention to really go deeply in all the intricacies of your different claims as I am more a witness than an actor of this scientific dispute] > > My understanding of your facts: Neural models do not use the concept of word in any of their tasks, but achieve very interesting results in their modelling of the language. > > My understanding of your interpretation: this is the proof that there is no such thing as a word. > > My understanding of your rhetoric: linguists are still using “words”, so they are wrong or dishonest or miseducated or dumb, we should wipe out entirely any occurence of this concept and start over with another modelling of the language. > > Please, understand that I am just presenting the way I am interpreting your different messages. And even if I am wrong here, this interpretation is to be taken into account as we are all persons with feeling. This feeling is a fact, even if I do not particularly feel targeted by your different criticisms. I hope this will help you ponder the terms involved in your next messages. > > This being said, I was not particularly surprised to see some “passionate” replies to your different messages. And I agree with everyone here, we should not go into such passion and use ad-hominem attacks on a mailing list, AND you should also understand that most of your rhetoric do contains such passion and attacks. > > > > > Concerning the facts : > > You are right, Neural models does not use any notion of word (or word morphology) as it is usually thought in linguistics as it usually first decide what is the granularity with which it will aggregate its input (sequence of characters) into tokens to which it attaches an “interpretation” (modelled as a multi-dimensional vector). > > > > > Concerning the interpretation : > > 1. You want to wipe out the notion of word based on such a fact. I would agree somehow if we were dealing with a universal modelling of language, but this is not the case. Human model language in a certain way and neural models in another way (even if neural networks are claimed to be inspired by biological neurones in our brains). The fact that a concept does not exist in a model does not entail that it does not exist in another model. > > > 2. Also, you do make the very same mistake concerning the way you look at the facts: i.e. there is no such thing as a character…, which means that the input of NN is already flown with a bias with which we look at language. Indeed characters are a very recent invention that builds on different concerns: > - usual graphical elements that are traditionally used in language writing and that has been interpreted as atomic, > - their interpretation by the encoding authorities (see the differences and debates about code points vs characters) > - arbitrary decision made (e.g. why model A and a as 2 different characters?) > Moreover, all corpora are usually badly encoded by using one character for another (quote instead of apostrophe, unbreakable character instead of a space, …) and this only accounts for languages with a writing system or transcription, i.e. not the majority of them. > > The conclusion is that even Neural Network uses artificial bias in the way they model language, which means that the conclusion we draw from them are as flawed as the one we draw from the classical way linguists look at languages. > > > 3. Most serious linguists never defined “words” lightly and most of them know that this concept is an "approximation” of something that is very difficult to apprehend and seems to be more grounded into linguistics from human introspection than linguistics from corpora. It somehow represents the way our human brain aggregates the atoms of the language (characters/phonemes) into something to which we associate an interpretation. In this sense, it is somehow the “tokens” of our biological neural network (and certainly far more). > > As an utterance production is not a bijection between whatever we have in our head and the sequential signal we use to communicate, I agree with you on the fact that “words" are certainly not present in a corpus (but I do think that our inner “tokens” may be observed somehow there). > > > Concerning the rhetoric: > > I do not think any linguist or computational linguist is naive enough to think that any of the modelling we deal with are a “truth” and I doubt any of them is miseducated enough to think that “words” are clearly defined and undoubtedly present in corpora. I do think though that they are usually right to observe occurrences (or hints) of non atomic constructs we associate with some interpretation. I also think that this way of looking to a corpus has some advantages that are not really present in NN (for instance, it can observe some regularity that will help human produce new utterances without being shown a large amount of examples). > > I also do think that even if you were totally right in your facts and interpretations, asking for a denial of current/past ways of looking to the texts will be a mistake. Even in physics, since the general theory of relativity, we know the classical mechanics is wrong, however it is still in use and it is not a problem as long as everybody know under which hypothesis it is a good enough approximation and under which hypothesis it does not work anymore. > > > > I know this message will certainly not make you think differently, but if it allows you to communicate differently with persons that still use the terms “words" or “sentences" as a simple shortcut to position their work into a shared/common understanding of the state of the art, in contexts where there is no room for better explanation (e.g. in summaries of their keynote speech), then I will have achieved something. > > Hoping this scientifical debate will continue in an appeased manner, > > Regards, > > Gilles Sérasset, > > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> _______________________________________________ Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> Nota automatica aggiunta dal sistema di posta Sostieni il futuro Dona il tuo 5x1000 al Collegio Internazionale Ca' Foscari FINANZIAMENTO DELLA RICERCA SCIENTIFICA E DELLA UNIVERSITÀ | CODICE FISCALE: 80007720271

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University of Leeds - 4 jobs teaching Computer Science
by Eric Atwell 31 Aug '23

31 Aug '23

School of Computing at University of Leeds is expanding our BSc, MEng, MSc and PhD research-led teaching. Our research strengths include Artifical Intelligence for language research. We offer 4 full-time ongoing (i.e. permanent) posts; if interested, you can apply separately for each post. Eric Atwell, Professor of Artificial Intelligence for Language Turing Fellow; LITE Fellow, "AI for Decolonising Reading Lists" Lecturer COMP2121 COMP5840 XJCO2121 OCOM5204 LISS1031 Online MSc AI programme leader School of Computing, Uni of LEEDS, LS2 9JT, UK http://www.comp.leeds.ac.uk/eric https://www.edubots.eu<https://www.edubots.eu/> ________________________________ We’ve advertised new opportunities on our careers site at https://jobs.leeds.ac.uk<https://jobs.leeds.ac.uk/> We hope you’ll be interested in these roles as they match your job alert subscriptions. You can view the job details, and apply, by clicking the following links: Teaching Assistant in Computer Science - EPSCP1135 Closing date: 20 Sep 2023 Grade: Grade 6 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1135> Teaching Assistant in Computer Science - EPSCP1136 Closing date: 20 Sep 2023 Grade: Grade 6 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1136> Teaching Fellow in Computer Science - EPSCP1137 Closing date: 20 Sep 2023 Grade: Grade 7 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1137> Teaching Fellow in Computer Science (Online Education) - EPSCP1138 Closing date: 20 Sep 2023 Grade: Grade 7 https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.leed…<https://jobs.leeds.ac.uk/EPSCP1138> If you have any questions or need any further assistance, please contact our HR team who will be more than happy to help. Human Resources University of Leeds

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RANLP 2023 Call for Participation
by amalhaddad＠ugr.es 30 Aug '23

30 Aug '23

RANLP 2023 Call for Participation We are pleased to share the programme of the international conference 'Recent Advances in Natural Language Processing' (RANLP'2023). To view the programme, please click here https://ranlp.org/ranlp2023/index.php/main-conference-programme/ To register, please visit https://ranlp.org/ranlp2023/index.php/fees-registration/ We very much hope to welcoming you at RANLP'2023 in Varna!

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Last CfP: 7th Workshop on Natural Language for Artificial Intelligence (NL4AI)
by Dominique Brunato 30 Aug '23

30 Aug '23

[Apologies for possible cross-posting] ***************************************************************************************************** *CALL FOR PAPERS* 7th Workshop on Natural Language for Artificial Intelligence (NL4AI) at the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) November 6th - 9th, 2023, Rome, Italy Website: http://sag.art.uniroma2.it/NL4AI/ http://www.aixia2023.cnr.it/ ***************************************************************************************************** *IMPORTANT DATES* PAPER SUBMISSION DEADLINE: SEPTEMBER 11TH, 2023 Notification of paper acceptance: September 29th, 2023 Camera-ready version deadline: October 9th, 2023 Workshop (at AIxIA 2023): November 6th - 9th, 2023 ***************************************************************************************************** *INTRODUCTION* The goal of the NL4AI workshop is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities rise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. *TOPICS OF INTEREST* We invite papers that pertain to the workshop theme including, but not limited, to: * NLP and AI Applications (health, legal domain, social media and journalism, etc.) * Natural Language Interfaces for Human Robot Interaction * Resources and Evaluation * Discourse and Pragmatics * Natural Language Generation * Information extraction in AI applications * Machine Learning for NLP * Sentiment analysis and Opinion mining * Natural Language Inference * NLP and Industrial Challenges * Semantics * Conversational Agents in Human-Computer Interaction * Cognitive modeling and psycholinguistics * Language and other Multimodality * Speech and Spoken language processing * Ethics and NLP * Interpretability, Explainability and Analysis of Models for NLP * Abusive Language Detection and Analysis * Machine Translation and Multilinguality * Question Answering * Summarization * NLP for Fact Checking, Fake News Detection and Analysis * LLMs and Applications * Multimodal (text-image) data sources Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. *HOW TO SUBMIT* We encourage submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are also welcomed. We will invite two kinds of submissions, which address novel interface issues in recommender systems by following the new 2022 CEUR-ART – 1 Column papers style (http://ceur-ws.org/Vol-XXX/CEURART.zip). Short/Demo papers: The maximum length is 6 pages (plus up to 2 pages of references). Long papers: The maximum length is 12 pages (plus up to 2 pages of references). Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. All the submissions should be submitted via EasyChair at: https://easychair.org/conferences/?conf=nl4ai2023 *WORKSHOP ORGANIZERS* Elisa Bassignana, IT University of Copenhagen, Denmark Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC), Italy Marco Polignano, University of Bari Aldo Moro, Italy Alan Ramponi, Fondazione Bruno Kessler, Italy

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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 30 Aug '23

30 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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