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PhD student position: Neuro-symolic synthesis of communication schemes
by Moa Johansson 13 Feb '23

13 Feb '23

PhD student position in Neuro-Symbolic Synthesis and Reinforcement Learning In this project we study a new approach to synthesis of efficient communication schemes in multi-agent systems, trained via reinforcement learning. We combine symbolic methods with machine learning, in what is referred to as a neuro-symbolic system, where a neural network learns to produce programs in a symbolic language to solve a task at hand. We believe this combination of neural and symbolic methods will be an important next step in the development of AI beyond todays capabilities. This project is a collaboration between researchers at the division of Data Science and AI<https://www.chalmers.se/en/departments/cse/research/dsai/Pages/default.aspx> at Chalmers and the Center for Linguistic Theory and Studies in Probability (CLASP) at Gothenburg University. Deadline for applications: 28 February: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/

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PhD scholarship in clinical NLP at the University of Melbourne
by Mike Conway 13 Feb '23

13 Feb '23

BRIEF DESCRIPTION The University of Melbourne's Department of General Practice, in collaboration with the University of Melbourne’s School of Computing and Information Systems invite applications for a 3.5 year funded PhD scholarship focused on the development and validation of NLP algorithms for the automatic extraction of adolescent risk-taking behaviours (e.g. substance use, risky sexual behaviours) and health conditions (e.g. depression, anxiety) from clinical notes. SELECTION CRITERIA Eligibility will be assessed on the following criteria: * Applicants must be an outstanding applicant with an Australian first class undergraduate degree (or international equivalent), or masters degree in Computer Science or a related discipline * Applicants must demonstrate strong Python skills * Applicants must have some experience with Natural Language Processing methods * Applicants must demonstrate an interest in medical and health research with a focus on data analysis skills * Applicants must demonstrate an openness to learn new things, versatility, creativity, problem solving skills, and attention to detail * Applications must demonstrate effective verbal and written English language communication skills It is also desirable, but not necessary, that applicants have experience working with data derived from electronic health records. FURTHER DETAILS AND HOW TO APPLY For more information regarding this opportunity, see: https://www.statsoc.org.au/forum-job-vacancies/13086448 To apply for this position, please email PCTU-enquiries(a)unimelb.edu.au<mailto:PCTU-enquiries@unimelb.edu.au> with a cover letter addressing the selection criteria, a CV, and academic transcripts SCHOLARSHIP VALUE & DURATION The scholarship consists of living allowance of AU$33,000 per year (2023, indexed annually) for up to a maximum of 3.5 years. Additional "top-up" funding may be available

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Call for Papers & Participation: The ClinicalNLP 2023 Workshop & Shared Tasks at ACL 2023
by Kirk Roberts 13 Feb '23

13 Feb '23

Clinical text is growing rapidly as electronic health records become pervasive. Much of the information recorded in a clinical encounter is located exclusively in provider narrative notes, which makes them indispensable for supplementing structured clinical data in order to better understand patient state and care provided. The methods and tools developed for the clinical domain have historically lagged behind the scientific advances in the general-domain NLP. Despite the substantial recent strides in clinical NLP, a substantial gap remains. The goal of this workshop is to address this gap by establishing a regular event in CL conferences that brings together researchers interested in developing state-of-the-art methods for the clinical domain. The focus is on improving NLP technology to enable clinical applications, and specifically, information extraction and modeling of narrative provider notes from electronic health records, patient encounter transcripts, and other clinical narratives. Relevant topics for the workshop include, but are not limited to: - Modeling clinical text in standard NLP tasks (tagging, chunking, parsing, entity identification, entity linking/normalization, relation extraction, coreference, summarization, etc.) - De-identification and other handling of protected health information - Structure of clinical documents (e.g., section identification) - Information extraction from clinical text - Integration of structured and textual data for clinical tasks - Domain adaptation and transfer learning techniques for clinical data - Generation of clinical notes: summarization, image-to-text, generation of notes from clinical conversations, etc. - Annotation schemes and annotation methodology for clinical data - Evaluation techniques for the clinical domain - Bias and fairness in clinical text In 2023, Clinical NLP will encourage submissions from the following special tracks: - Clinical NLP in languages other than English - Clinical NLP in low-resource settings - Clinical NLP for clinical conversations (e.g., doctor-patient) The 5th Clinical NLP Workshop will be co-located with ACL 2023 <https://2023.aclweb.org/> in Toronto, Canada - July 13 or 14, 2023. Joint Track with MWE Clinical NLP 2023 is also co-organizing a special track with the 19th Workshop on Multiword Expressions (MWE 2023) <https://multiword.org/mwe2023/>. The goal is to foster future synergies that could address scientific challenges in the creation of resources, models and applications to deal with multiword expressions and related phenomena in the specialised domain of Clinical NLP. Submissions describing research on multi-word expressions in the specialized domain of Clinical NLP, especially introducing new datasets or new tools and resources, are welcome. Note that submissions to this track must be submitted to MWE, not Clinical NLP by their earlier submission deadline, 20 Feb 2023. Please visit the MWE 2023 website <https://multiword.org/mwe2023/> for more details. Submissions accepted to this “Multi-word expressions in Clinical NLP” special track will have the opportunity to present their work first at MWE 2023 at EACL and then also at Clinical NLP 2023 at ACL. Shared Task Clinical NLP 2023 is hosting the MEDIQA-Chat Shared Tasks <https://sites.google.com/view/mediqa2023/clinicalnlp-mediqa-chat-2023> on doctor-patient conversations, which focuses on the following tasks: 1. Dialogue2Note Summarization: Given a conversation between a doctor and patient, participants are tasked with producing a clinical note summarizing the conversation with one or multiple note sections (e.g. Assessment, Past Medical History, Past Surgical History). 2. Note2Dialogue Generation: Given a clinical note, participants are tasked with generating a synthetic doctor-patient conversation related to the information described in the clinical note section(s). Please visit the shared task website <https://sites.google.com/view/mediqa2023/clinicalnlp-mediqa-chat-2023> to register to participate and for additional information about the shared tasks. Submissions Submissions may have a maximum length of eight (8) pages for long papers and four (4) pages for short papers and shared task participant papers, with unlimited pages for references and appendices. All submissions must be made through OpenReview <https://openreview.net/> and follow ACL formatting guidelines <https://acl-org.github.io/ACLPUB/formatting.html>. The OpenReview submission site can be found here: OpenReview-ClinicalNLP <https://openreview.net/group?id=aclweb.org/ACL/2023/Workshop/Clinical_NLP> We encourage submissions of papers submitted to but not accepted by EACL 2023 <https://2023.eacl.org/>, ACL 2023 <https://2023.aclweb.org/>, or ACL Rolling Review <https://aclrollingreview.org/>, as long as the topics are relevant to Clinical NLP. Important Dates All deadlines are 11:59PM UTC-12:00 (anywhere on Earth <https://www.timeanddate.com/time/zones/aoe>) EventDate Shared task registration opens Tuesday, January 10, 2023 Shared task release of training and validation sets Friday, February 10, 2023 Shared task release of the test sets Wednesday, March 15, 2023 Shared task run submission deadline Friday, March 17, 2023 Shared task release of official results Friday, March 31, 2023 Submission deadline (both general and shared task) Tuesday, May 2, 2023 Notification of acceptance Monday, May 22, 2023 Final versions of papers due Tuesday, June 6, 2023 Pre-recorded video due Monday, June 12, 2023 Workshop Thursday or Friday, July 13 or 14, 2023Workshop Organizers - Anna Rumshisky (UMass Lowell) - Asma Ben Abacha (Microsoft) - Kirk Roberts (University of Texas Health Science Center at Houston) - Steven Bethard (University of Arizona) - Tristan Naumann (Microsoft Research) For inquiries, please contact: clinical-nlp-workshop-organizers(a)googlegroups.com.

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PhD position in NLP for climate change at CIS/LMU
by Barbara Plank 12 Feb '23

12 Feb '23

There is an opening for a funded PhD position at CIS LMU Munich to work on NLP for climate change within the KLIMA-MEMES project at the MaiNLP lab, with ample opportunities for collaboration. The deadline is today, the position remains open until filled. Interested? Check out the details and apply as soon as possible: https://mainlp.github.io/jobs/

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Fwd: Fwd: Deadline extension: 19th Workshop on Multiword Expressions (MWE 2023)
by Kilian Evang 11 Feb '23

11 Feb '23

Forwarded message from Archna below ---------- Forwarded message --------- Von: Archna Bhatia <abhatia(a)ihmc.org> Date: Sa., 11. Feb. 2023 um 01:57 Uhr Subject: Re: [Corpora-List] Fwd: Deadline extension: 19th Workshop on Multiword Expressions (MWE 2023) To: Ada Wan <adawan919(a)gmail.com> Cc: Kilian Evang <kilian.evang(a)gmail.com>, corpora(a)list.elra.info < corpora(a)list.elra.info> Thanks, Ada. My point was not that the term “multiword expressions” predates the term “idioms/idiomatic expressions” but that the category of items, of which idioms is a subset, has been referred to as multiwords for a long time. It may not be the perfect terminology but there’s some shared understanding what kinds of expressions or constructions constitute this category labeled as multiwords/multiword expressions/multiword units. I would like to see strong evidence of better suitability of a new term to refer to this category before I adopt it. BTW, I’m curious do you have examples in mind which belong to this category but show that wordhood might be a problematic notion? How frequent is this phenomenon? Also regarding emojis etc, I’m curious: are there combinations of emojis that show some sort of idiosyncrasy when they cooccur? Or even combinations of emojis and textual words or other utterances which show such idiosyncratic behavior as we generally associate with “MWEs”? (It’s possible but I had not thought of it until now and it would be interesting to see that.) BTW, are you planning on attending the MWE 2023 workshop? There would be a lot of opportunity to discuss this with researchers currently working on multiword expressions. Thanks, Archna On Feb 11, 2023, at 4:02 AM, Ada Wan <adawan919(a)gmail.com> wrote: Hi Archna "Idioms"/"Idiomatic expressions" are established terms in the study of language [1], with a longer history than MWE [2]. "Fixed", e.g. in "fixed phrases", is mentioned in, inter alia, [3], which was the earliest cite from the earliest work on MWEs in the ACL Anthology [4]. If I understand correctly, "MWEs" was a term so coined in order to establish a practice based on "words" (if anyone should view this differently, please do correct me here). You're right, the task I suggested can be seen as orthogonal to distinguishing between lexical expressions or non-lexical expressions. I think it's important to document also the contexts surrounding expressions, instead of just picking expressions out and studying them in an isolated manner. It was just a suggestion for those who might be interested in building a multilingual parallel lexical database as well as those who might want to get a more holistic understanding of language while weaning oneself of "words" --- now that it's become even more obvious how superfluous the term/concept is. [1] See e.g. https://en.wikipedia.org/wiki/Phraseme <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fen.wikipe…> [2] "Idiomatic expression" is just another formulation of "idiom" (see https://www.thefreedictionary.com/idiomatic+expression <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.thefr…>). According to Collins English Dictionary (accessed via https://www.thefreedictionary.com/idiom <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.thefr…>), "idiom" stems from the 16th century Latin idiōma, denoting "pecularity of language". [3] Nunberg, Geoffrey, Ivan A. Sag, and Thomas Wasow. 1994. Idioms. Language, 70:491–538. https://doi.org/10.2307/416483 <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2…> (Many older references on "idioms" by linguists can be found therein.) [4] Ann Copestake, Fabre Lambeau, Aline Villavicencio, Francis Bond, Timothy Baldwin, Ivan A. Sag, and Dan Flickinger. 2002. Multiword expressions: linguistic precision and reusability. In Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02), Las Palmas, Canary Islands - Spain. European Language Resources Association (ELRA). ------------------------------ Hi Kilian Sorry about my oversight on "item". I do think "item" could be better than "term" in this case, but it does carry a sense of "a single element", a more discrete "singleton". It's ok to combine it with "complex" to mitigate the sense of "singleton", but then "complex" as you suggested is dependent on morphology, which can be problematic. Re "lexical": sure. (I think there have been so many different views/traditions/conventions among linguists and computational linguists in the past, we don't necessarily have to agree on how we or our definitions/methods might differ or might have differed, as long as we have the same goal now?) One argument for "expressions" would be that they could include a sign (e.g. hand sign in motion). So how about updating "MWEs" to: i. "lexical expressions", or ii. "lexical expressions (of one character or more when written)*", or iii. [i] or [ii] without "lexical", or iv. others? * I'm trying to incorporate how expressions with emojis would/should be treated too. ------------------------------ What do you all think? Thanks and best Ada On Fri, Feb 10, 2023 at 10:58 AM Kilian Evang via Corpora < corpora(a)list.elra.info> wrote: > Forwarded message from Archna below > > ---------- Forwarded message --------- > Von: Archna Bhatia <abhatia(a)ihmc.org> > Date: Do., 9. Feb. 2023 um 19:58 Uhr > Subject: Re: [Corpora-List] Deadline extension: 19th Workshop on Multiword > Expressions (MWE 2023) > To: Ada Wan <adawan919(a)gmail.com>, kilian Evang <kilian.evang(a)gmail.com> > Cc: Mike Scott <mike(a)lexically.net>, mweworkshop2023(a)googlegroups.com < > mweworkshop2023(a)googlegroups.com>, corpora(a)list.elra.info < > corpora(a)list.elra.info> > > > Thanks, Ada. I think using the terms “fixed” and “idiomatic” make the > category appear more restrictive, and would need qualifications such as > “fixed” is a relative term here, etc. With “multiwords/multiword > expressions” also, there are stipulations (the notion of wordhood may not > be applicable to every single language and in the same way) but since the > term has been used for a long while, there is a bit of a shared > understanding of this term, including about these stipulations. I am open > to better terminology. Using just “expressions”, however, seems too vague > and loses some generalizations about the idiosyncrasies that "multiword > expressions” demonstrate. Every expression in not the same, “multiword > expressions” show characteristics different from other expressions. I > understand there is some fluidity also there when trying to distinguish > between multiwords and non multiword expressions. > > There are so many angles that one could look at language from. I don’t see > anything wrong with the view that studies expressions covering all aspects > as you suggest without distinguishing between expressions based on notions > of wordhood. The task you suggest will help in developing understanding > about language and how languages are similar or different and how they are > used. I don’t think it disqualifies efforts that distinguish between > “multiword expressions” and non-multiword expressions though, and the > idiosyncrasies are not limited to morphology/syntax, idiosyncrasies are > found in other linguistic aspects too when characterizing "multiword > expressions”. > > ~ Archna > > On Feb 9, 2023, at 11:17 AM, Ada Wan <adawan919(a)gmail.com> wrote: > > Hi Archna, hi Kilian, hi all > > Thanks for your replies. > > TLDR on my part: I'd be fine going with "expressions" (instead of > "fixed/idiomatic expressions"). Neither "word" nor "morphology/syntax" > (apart from the ordering of elements and/or sequential patterns) is > necessary in the analyses of such. > > ----- > > More specifically: > > [@Archna] Re "fixed/idiomatic expressions": I don't think it matters much > whether they are "fixed" or "idiomatic". A "fixed expression" is one that > is usually more impervious to (lexical) change. One can measure this > quality in a longitudinal study, e.g. in relation to other aspects of > language change etc.. Re how "fixed" is "fixed": it's relative, much like > many other aspects of language studies. By "idiomatic", one could mean that > there is an element of idiosyncrasy (as "idiom"/"idioma"). > > The message that I am trying to get across is that "word" is a superflous > category in the study of language. Would you mind please justifying why you > need "words"? > > The same goes for morphology, actually. In essence, morphological analyses > involve selective decomposition, not decomposition of all decomposable > units. Hence if one is only accounting for variations within an expression > as a ((sub-)character) sequence involving "morphemes" (assuming definable > rigorously) and discounting the changes in other parts of the sequence, > that would be an incomplete analysis of the expression. Instead, one can > just refer to expressions as "expressions", as e.g. sequences/strings of > various lengths/vocabs in (sub-)characters --- such an account is also more > flexible and accommodating to diverse languages/registers/modalities. > > A study of "expressions" can cover all other aspects --- not just lexical > but also functional ones. One doesn't need to incorporate/impose any ad hoc > notions of "wordhood" in these studies. > > Suggestion: I believe there are many more interesting tasks in this area, > instead of trying to find/define "words" within expressions, or to "parse" > them according to some structuralist assumptions (i.e. > morphologically/syntactically). For example, the community could start > (some multi-year project) building an international multilingual parallel > (note: not everything would be parallelizable) database of all expressions > and terminologies ever existed with contextual (historical/cultural/social) > information and start verifying their sources and status of current use. > (Just be aware, though, that one is not reinforcing values that shouldn't > be further emphasized / transfered to posterity --- as an ethical > consideration. So if something is in the grey area now, document clearly > what the current attitudes towards a certain value are, so posterity can > look back and evaluate with respect to their point of view.) > > Counter questions to Archna: > What are the motivations behind your suggestion to access/interpret > language using "words"? How do you define "words" and justify the > sufficiency/necessity of morphology/syntax in relation to the study of > these expressions, esp. when the morphological decomposition of these > expressions is arbitrary and helps little (or not at all) with explanation > or prediction? > > Re "complex lexical terms", @Kilian: I'm just wondering what kind of terms > that would be considered "terms" that wouldn't be considered lexical (I was > tempted to add "lexical" to "expressions" as well, but thought that might > be a bit redundant)? It depends on how one defines "terms", of course. And > how "complex" are expressions really? They are just more calcified units > after all, aren't they? (Why do we/some always seem to want to add the term > "complex" to everything? Things that aren't "complex" are also worthy of > studying!) > > Curious what you think... > > Thanks and best > Ada > > Why I'm advocating #noWords: > Fairness in Representation for Multilingual NLP: Insights from Controlled > Experiments on Conditional Language Modeling > https://openreview.net/forum?id=-llS6TiOew > > <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenrevie…> > https://drive.google.com/file/d/1eKbhdZkPJ0HgU1RsGXGFBPGameWIVdt9/view > > <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdrive.goo…> > (It took me a while for everything to sink in.) > > > On Thu, Feb 9, 2023 at 3:27 PM Mike Scott via Corpora < > corpora(a)list.elra.info> wrote: > >> I must say I'm perfectly happy with "multi-word expression", or >> "multi-word unit". >> >> I feel sympathy with Archna's post (and incidentally wish Archna didn't >> have to go through a friend!) >> Cheers -- Mike >> >> -- >> >> Mike Scottlexically.net <https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Flexically.…> >> Lexical Analysis Software and Aston University >> >> _______________________________________________ >> Corpora mailing list -- corpora(a)list.elra.info >> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ >> <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Flist.elra…> >> To unsubscribe send an email to corpora-leave(a)list.elra.info >> > > -- > You received this message because you are subscribed to the Google Groups > "MWE Workshop 2023 Organizers" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to mweworkshop2023+unsubscribe(a)googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/mweworkshop2023/CAB7Mis_GSyFjZOVw_XWp431V… > <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgroups.go…> > . > For more options, visit https://groups.google.com/d/optout > <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgroups.go…> > . > > > > > > > -- > Archna Bhatia, Ph.D. > Research Scientist, Institute for Human & Machine Cognition > 15 SE Osceola Ave, Ocala, FL 34471 > (352) 387-3061 > > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Flist.elra…> > To unsubscribe send an email to corpora-leave(a)list.elra.info >

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PhD Student position: Limitations of Large Language Models (LLMs)
by steffen.eger＠uni-bielefeld.de 11 Feb '23

11 Feb '23

The Natural Language Learning Group (NLLG) at Bielefeld University, Germany, is looking for a PhD student in NLP for understanding limitations of large language models (such as BERT, ChatGPT, etc.) in social/political science contexts. The position is jointly supervised by the NLLG group and the Semantic Computing Group at Bielefeld. More information and application details are here: https://nl2g.github.io/positions The application deadline is 23.02.2023. For any questions, please contact steffen.eger(a)uni-bielefeld.de

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Second CFP: LoResMT 2023 at EACL 2023
by Atul K. Ojha 10 Feb '23

10 Feb '23

Apologies for cross-posting --------------------------------- The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023) https://www.loresmt.org/ @ EACL 2023 (May 2–6, 2023) Valamar Lacroma Dubrovnik Hotel, Iva Dulčića 34, 20000, Dubrovnik, Croatia SUBMISSION https://softconf.com/eacl2023/LoResMT2023 TIMELINE Paper due: February 22, 2023, at 23:59 (Anywhere on Earth) Notification of acceptance: March 20, 2023 Camera-ready papers due: March 27, 2023 Conference dates: May 2-6, 2023 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/), AMTA 2021, COLING 2022, we introduce the Sixth Workshop. 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 EACL 2023 style templates (LaTeX, Word, Overleaf). Accepted papers will be published online in the EACL 2023 proceedings and will be presented at the conference. Submissions must be anonymized and should be done using the official conference management system (which will be available in the following weeks). 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. ORGANIZING COMMITTEE (LISTED ALPHABETICALLY) Atul Kr. Ojha, University of 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 Bharathi Raja Chakravarthi, University of Galway Beatrice Savold, University of Trento Bogdan Babych, Heidelberg University Constantine Lignos, Brandeis University, USA Daan van Esch, Google Diptesh Kanojia, University of Surrey, UK Duygu Ataman, University of Zurich 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, Univerity of Galway Kevin Patrick Scannell, Saint Louis University Liangyou Li, Noah’s Ark Lab, Huawei Technologies Maria Art Antonette Clariño, University of the Philippines Los Baños Majid Latifi, University of York, York, UK Mathias Müller, University of Zurich Monojit Choudhury, Microsoft Turing Rajdeep Sarkar, Univerity of Galway Rico Sennrich, University of Zurich Sangjee Dondrub, Qinghai Normal University Santanu Pal, WIPRO AI Sardana Ivanova, University of Helsinki Shantipriya Parida, Silo AI Sunit Bhattacharya, Charles University Surafel Melaku Lakew, Amazon AI Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Wen Lai, Center for Information and Language Processing, LMU Munich 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.

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Call for Applications: Study NLP at UC Santa Cruz! - Apply by March 1
by The NLP Program Team 10 Feb '23

10 Feb '23

Dear colleagues, The UCSC Natural Language Processing (NLP) master’s degree program <http://nlp.ucsc.edu/> provides both depth and breadth in core algorithms and methods for NLP. Taught intensively over 15-18 months, our program design combines theoretical learning with hands-on practice to ensure our students have the right skill set to prepare for a professional career in this fast-growing field. We are currently accepting applications for Fall 2023 admission consideration. Program Highlights: - A 15-18 month program with a Capstone project mentored by NLP faculty and industry experts. - NLP students receive an in-depth, systematic education in NLP, machine learning, and data science and analytics with faculty who have both academic and industry experience. - Our Industry Advisory Board provides insight and career advice through mentoring, guest lectures, and attendance at networking and professional development events. - All our courses are exclusive to NLP students and are designed with input from our Industry Advisory Board ensuring the content is current, relevant, and grounded in real-world context. - Our program is based at state-of-the-art facilities at the UCSC Silicon Valley Campus, located in Santa Clara, California. Applying to the NLP MS Program This program is intended for students with a strong background in computer science. We are looking for multifaceted individuals with solid skills in programming, algorithms, machine learning, probability, statistics, and linguistics. Visit our Admissions page <http://nlp.ucsc.edu/admissions> to review admission requirements and tips for applying, and to connect with our support team. Applications for Fall 2023 admission consideration are now open. Apply by March 1, 2023 <https://applygrad.ucsc.edu/apply/>. If you have questions about the program or the application process, please contact the NLP Support Team. The NLP Program Team Natural Language Processing MS Program <http://nlp.ucsc.edu/> Baskin Engineering University of California, Santa Cruz

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Internship: Computational Linguist, Dublin (Summer 2023)
by Lamia Tounsi 10 Feb '23

10 Feb '23

Hi everyone, We’re looking for a summer intern Computational Linguist to join our team at Linkedin! https://www.linkedin.com/jobs/view/3448033554 Please feel free to reach out if you have any enquiries about this internship, or pass this along to any student you think would enjoy working in Computational Linguistics and Language Technologies this summer. Many thanks, Kind regards, Lamia

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DMR 2023 First Call for Papers
by Nianwen Xue 10 Feb '23

10 Feb '23

DMR 2023, the Fourth International Workshop on Designing Meaning Representations, will be co-located with IWCS 2023 <http://iwcs2023.loria.fr/>. It will be held on June 20th, 2023 in Nancy, France. While deep learning methods have led to many breakthroughs in practical natural language applications, most notably in Machine Translation, Machine Reading, Question Answering, Recognizing Textual Entailment, and so on, there is still a sense among many NLP researchers that we have a long way to go before we can develop systems that can actually “understand” human language and explain the decisions they make. Indeed, “understanding” natural language entails many different human-like capabilities, and they include but are not limited to the ability to track entities in a text, understand the relations between these entities, track events and their participants described in a text, understand how events unfold in time, and distinguish events that have actually happened from events that are planned or intended, are uncertain, or did not happen at all. We believe a critical step in achieving natural language understanding is to design meaning representations for text that have the necessary meaning “ingredients” that help us achieve these capabilities. Such meaning representations can also potentially be used to evaluate the compositional generalization capacity of deep learning models. There has been a growing body of research devoted to the design, annotation, and parsing of meaning representations in recent years. The meaning representations that have been used for semantic parsing research are developed with different linguistic perspectives and practical goals in mind and have different formal properties. Formal meaning representation frameworks such as Minimal Recursion Semantics (MRS) and Discourse Representation Theory (as exemplified in the Parallel Meaning Bank) are developed with the goal of supporting logical inference in reasoning-based AI systems and are therefore easily translatable into first-order logic, requiring proper representation of semantic components such as quantification, negation, tense, and modality. Other meaning representation frameworks such as Abstract Meaning Representation (AMR), Tecto-grammatical Representation (TR) in Prague Dependency Treebanks and the Universal Conceptual Cognitive Annotation (UCCA), put more emphasis on the representation of core predicate-argument structure, lexical semantic information such as semantic roles and word senses, or named entities and relations. There is also a more recent effort in developing a Uniform Meaning Representation (UMR) that is based on AMR but extends it to cross-linguistic settings and enhances it to represent document-level semantic content. The automatic parsing of natural language text into these meaning representations and the generation of natural language text from these meaning representations are also very active areas of research, and a wide range of technical approaches and learning methods have been applied to these problems. This workshop will bring together researchers who are producers and consumers of meaning representations, and through their interaction develop a deeper understanding of the key elements of meaning representations that are the most valuable to the NLP community. The workshop will also provide an opportunity for meaning representation researchers to critically examine existing frameworks with the goal of using their findings to inform the design of next-generation meaning representations. A third goal of the workshop is to explore opportunities and identify challenges in the design and use of meaning representations in multilingual settings. A final goal of the workshop is to understand the relationship between distributed meaning representations trained on large data sets using network models, and the symbolic meaning representations that are carefully designed and annotated by NLP researchers and gain a deeper understanding of areas where each type of meaning representation is the most effective. The workshop will solicit papers that address one or more of the following topics: — Design and annotation of meaning representations; — Cross-framework comparison of meaning representations; — Challenges and techniques in automatic parsing of meaning representations; — Challenges and techniques in automatically generating text from meaning representations; — Meaning representation evaluation metrics; — Lexical resources, ontologies, and grounding in relation to meaning representations; — Real-world applications of meaning representations; — Issues in applying meaning representations to multilingual settings and lower-resourced languages; — The relationship between symbolic meaning representations and distributed semantic representations; — Formal properties of meaning representations; — Any other topics that address the design, processing, and use of meaning representations. Important dates: All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Paper due: April 3, 2023 Notification of acceptance: May 1, 2023 Camera-ready deadline: June 1, 2023 Workshop date: June 20, 2023 Submission instructions: Submission site: https://softconf.com/iwcs2023/dmr2023 Submissions should report original and unpublished research on topics of interest to the workshop. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings on the ACL Anthology. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Submission is electronic, using the Softconf START conference management system. Here is the link <https://softconf.com/iwcs2023/dmr2023> to the DMR submission site. Submissions must adhere to the two-column format of ACL venues: please use our specific style-files <https://iwcs2021.github.io/download/iwcs2021-templates.zip> or the Overleaf template <https://www.overleaf.com/latex/templates/instructions-for-iwcs-2021-proceed…>, taken from ACL 2021. Similar to ACL 2021, initial submissions should be fully anonymous to ensure double-blind reviewing. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. If a paper is accepted, it will be given an additional page to address reviewers’ comments in the final version of the paper. References and appendices do not count against these limits. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the author's identity--e.g., "We previously showed (Smith, 1991) ..." should be replaced with citations such as "Smith (1991) previously showed ...". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop organizers ( dmr2023-chairs(a)googlegroups.com). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. DMR 2023 does not have an anonymity period. However, we ask you to be reasonable and not publicly advertise your preprint during (or right before) review. More information will be posted to the DMR 2023 website: http://iwcs2023.loria.fr/dmr-2023-the-fourth-international-workshop-on-desi…

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