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Call for Participation: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022
by Davy Weissenbacher 12 Oct '22

12 Oct '22

Call for Participation: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022 Hybrid: Online / Gyeongju, Republic of Korea Workshop Date: October 17, 2022 Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/ ***Apologies if you received multiple copies of this announcement*** The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index) will present a Keynote speaker, 15 invited oral presentations, and a poster session demonstrating the competing systems of the SMM4H'22 shared tasks. The detailed program and description of the shared tasks can be found online at https://healthlanguageprocessing.org/smm4h-2022/ <https://healthlanguageprocessing.org> Keynote speaker: Raul Rodriguez-Esteban, Senior Principal Scientist at Roche Pharmaceuticals, Switzerland Abstract: Social media listening for pharmaceutical R&D Traditionally, social media listening (SML) in the pharmaceutical setting has been limited to marketing and communication purposes and performed with manual, qualitative methods. Pharmaceutical companies, with the encouragement of regulatory agencies, have started utilizing social media listening to integrate the patient perspective in the clinical development process to ensure relevant treatments and outcomes. Additionally, there is a growing acknowledgment that quantitative methods for SML (QSML) can provide new and more rigorous analyses that enhance the value of social media data to enable a patient-centric approach to understanding disease burden and influence drug discovery decisions at all stages. During this talk, I will present some examples of QSML supporting pharmaceutical R&D. All questions should be emailed to Davy Weissenbacher ( davy.weissenbacher(a)cshs.org)

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Emotion annotation job: October->December (English), November->2023 (other languages)
by Roberto Navigli 12 Oct '22

12 Oct '22

*Emotion annotation job* Babelscape <https://babelscape.com> is looking for linguists or people with some annotation experience who are native speakers of one of the following languages: English, Spanish, French, German. The annotation task (ideally full time, but part time can also be considered) will consist in the analysis of language and emotions in words and phrases and will be carried out on a remote basis between October and December. Immediate availability required for English native speakers; annotation in the other languages will follow right after. If you are interested and available now, please do not hesitate to send your CV to linguists(a)babelscape.com Kind regards, -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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EACL 2023: Call for System Demonstrations
by Joel Tetreault 11 Oct '22

11 Oct '22

(apologies for cross-posting) ================ EACL 2023 -- Call for System Demonstrations ================== - Website: https://2023.eacl.org/calls/demos/ - Deadline: December 2nd, 2022 - Questions? Email eacl2023demos(a)googlegroups.com The system demonstration track at EACL 2023 is a venue for papers describing system demonstrations, ranging from early prototypes to mature production-ready systems. Publicly available open-source or open-access systems are of special interest. All accepted demos are published in a companion volume of the conference proceedings. We expect at least one of the authors to present a live demo during a demo session at EACL 2023, with an accompanying poster, either virtually or in-person. Submissions will undergo a single-blind reviewing process. Therefore, papers may include author and affiliation information, and freely make references to previously published material, and URLs. This year we are incorporating ethical considerations in the review process. Authors will be allowed extra unlimited space after the main content for a broader impact statement or other discussions of ethics. Please review the ethics policy before submitting. =============================== Important Dates =============================== - Direct paper submission deadline: Friday, 2 December 2022 - Notification of acceptance: Friday, 8 February 2023 - Camera-ready papers due: Wednesday, 1 March 2023 - Main Conference: Wednesday – Friday, 3–5 May 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). ======================== Paper Submission Information ========================= --- Topics of Interest --- Of interest are all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed on the main conference website. Submitted systems papers may be of the following types: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for Computational Linguistics research - Software for analysis, demonstration, or evaluations - Software supporting learning or education - Tools for data visualization and annotation - Development tools Please note: Commercial sales and marketing activities are not appropriate in the system demonstration track at EACL 2023. --- Submission Guidelines --- All submissions should be made electronically via START. Please note that the submission platform is different from the one used by the main conference. Submissions must include the following: - A paper describing the motivation and the technical details of the system, including visual aids (e.g., screenshots, snapshots, or diagrams). We encourage authors to check recent demonstration papers at previous ACL, EACL, EMNLP, and NAACL conferences for examples. - A short video (max. 2 minutes) demonstrating the system. This video will be used to evaluate the paper, but it will not be published unless requested. A screencast with audio narration is a natural choice for demos that can be presented on a screen. Otherwise, a video of a user interacting with the system can be used. The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video on YouTube, or another website and include the link in your paper. If you prefer not to publicly upload a screencast, please submit the video (in MPEG4 format). The video must be included as supplementary material when you submit your paper through START. In addition, we strongly recommend that all demos be made available via one of the following formats: (a) a live demo website, or (b) a website with a downloadable installation package of the demo. We understand though that this might be impossible, e.g., when special hardware is required or when access is otherwise limited. --- Submission Policy --- The demo paper has to be original, written specifically for this conference, and cannot be submitted elsewhere. The paper must also report on a substantial improvement (>30%) if the system that is being described has been reported elsewhere before. Authors submitting more than one demo paper to EACL 2023 must ensure that the submissions do not overlap significantly (>25%) with each other. Submissions of identical or closely related work to multiple tracks at EACL 2023 (Research, SRW, Industry, or Demo) will be rejected by all tracks. --- Reviewing Policy --- Reviewing will be single-blind, and thus authors do not need to conceal their identity. Thus, the demo papers should include the authors’ names and affiliations. Self-references are also allowed. Relevant papers that meet formatting requirements will be assessed on the basis of their relevance to the demo track, contribution, clarity, completeness, and novelty. --- Ethics Policy --- Authors are required to honor the ethical code set out in the ACM Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns about their work. Authors will be allowed extra space after the 6th page for a broader impact statement or other discussions of ethics. The ACL demonstration review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional acceptance will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. Please read the ethics FAQ (shared with the main conference) for more guidance on some problems to look out for and key concerns to consider relative to the code of ethics. ---- Best Demo Award ---- We will present a Best Demo Paper Award. The winner will be chosen based on the contribution and the completeness of the system, as assessed by the reviewers and also based on the live demo at the conference. ============================= Contact Information ============================= If you have questions that are not answered there, please email the program co-chairs at eacl2023demos(a)googlegroups.com. ---- Demo Track Co-chairs ---- - Danilo Croce (University of Rome, Tor Vergata) - Luca Soldaini (Allen Institute for AI)

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CfP: Journal of Biomedical Informatics (JBI) Special Issue on Semantics-enabled Biomedical Literature Analytics
by Halil Kilicoglu 11 Oct '22

11 Oct '22

*** Apologies for cross-posting *** Call for Papers: Semantics-enabled Biomedical Literature Analytics This Special Issue aims to highlight the development of novel informatics methods for *retrieval, indexing, and analysis of biomedical literature, focusing on semantics-based techniques*. We invite researchers working in biomedical informatics, knowledge representation/ontologies, information retrieval, natural language processing, artificial intelligence/machine learning, data mining, and other related areas to submit clear and detailed descriptions of their novel methodological results. The topics of interest include but are not limited to: - Knowledge representation and semantics for biomedical literature retrieval - Biomedical ontologies in search - Biomedical knowledge source integration - Biomedical knowledge graph construction and embeddings - Knowledge graphs in biomedical search - Semantic knowledge in biomedical literature classification and ranking - Biomedical information extraction - Entity linking and semantic annotation in biomedical texts - Literature-based knowledge discovery - Semantics for biomedical knowledge synthesis and systematic literature review All submitted papers must be original and will go through a rigorous peer-review process with at least two reviewers. Papers previously published in conference proceedings will not be considered. JBI’s editorial policy will be strictly followed by special issue reviewers. Note in particular that JBI emphasizes the publication of papers that introduce innovative and generalizable methods of interest to the informatics community. Specific applications can be described to motivate the methodology being introduced, but papers that focus solely on a specific application are not suitable for JBI. *Submission Guidelines* Authors must submit their papers via the online Editorial Manager (EES) at <http://ees.elsevier.com/jbi>https://www.editorialmanager.com/jbi <https://ees.elsevier.com/jbi>. Authors should select “Semantics-enabled Biomedical Literature Analytics” as their submission category and note in a cover letter that their submission is for the “*Special Issue on Semantics-enabled Biomedical Literature Analytics.*” If the manuscript is not intended as an original research paper, the cover letter should also specify if it is, rather, a *Methodological Review, Commentary, or Special Communication*. Authors should make sure to place their work in the context of human-focused biomedical research or health care, and to review carefully the relevant literature. JBI’s editorial policy, and the types of articles that the journal publishes, are outlined under *Aims and Scope *on the journal home page at https://www.sciencedirect.com/journal/journal-of-biomedical-informatics <https://www.journals.elsevier.com/journal-of-biomedical-informatics>(click on “View full Aims and Scope” for details). All submissions should follow the guidelines for authors at <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*https://www.elsevier.com/journals/journal-ofbiomedical- informatics/1532-0464/guide-for-authors <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*, including format and manuscript structure. *Important Dates* Deadline for submissions: November 15, 2022 First-round review decisions: January 15, 2023 Deadline for revision submissions: February 15, 2023 Notification of final decisions: April 15, 2023 The full Call for Papers is available at https://doi.org/10.1016/j.jbi.2022.104134. Please direct any questions regarding the special issue to Dr. Halil Kilicoglu (halil(a)illinois.edu). *Guest Editors:* Halil Kilicoglu (University of Illinois Urbana-Champaign, halil(a)illinois.edu ) Faezeh Ensan (Ryerson University, fensan(a)ryerson.ca) Bridget McInnes (Virginia Commonwealth University, bmtinnes(a)vcu.edu) Lucy Lu Wang (University of Washington/Allen Institute for AI, lucylw(a)uw.edu ) --Halil *HALIL KILICOGLU* *Associate Professor* School of Information Sciences University of Illinois at Urbana-Champaign halil(a)illinois.edu https://ischool.illinois.edu/people/halil-kilicoglu

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Call For Volunteers - EMNLP 2022
by Wajdi Zaghouani 11 Oct '22

11 Oct '22

We seek a limited number of student volunteers for the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), for both online and in-person versions. In exchange for one full day equivalent of work, students receive free registration to the main conference. Workshops and tutorials are not included and must be paid for by the student. The work will be divided, probably into two half-day shifts, and the shifts will be scheduled to maximize volunteer access to the conference events. Tasks will include assisting at the registration desk, stuffing delegate packs, helping to maintain social media (mainly Twitter) and providing assistance for conference events including tutorials, the main conference, and workshops, for either online or in-person versions. Webpage: https://2022.emnlp.org/volunteers Important Dates Application deadline: October 24th Notification of acceptance: November 9th Submission Procedure Applicants for either the Student Volunteer Program or the Student Scholarship Program must be full-time students and should submit the application form below where we ask a few questions and a one-page CV Application form: https://forms.gle/cwvq88ohKtp5t88z6 Contact Details Student Volunteers Chairs : emnlp2022.volunteers(a)gmail.com ---- *Wajdi Zaghouani, Ph.D.* *Assistant Professor* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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Lingua Custodia is hiring an NLP researcher
by François Portet 11 Oct '22

11 Oct '22

***The company - Lingua Custodia*** Lingua Custodia is a Fintech company leader in Natural Language Processing (NLP) for Finance. It was created in 2011 by finance professionals to initially offer specialised machine translation. Leveraging its state-of-the-art NLP expertise, the company now offers a growing range of applications in addition to its initial Machine translation offering: Speech-to-Text automation, Document classification, Linguistic data extraction from unstructured documents, Mass web crawling and data collection, ... and achieves superior quality thanks to highly domain-focused machine learning algorithms. Its cutting-edge technology has been regularly rewarded and recognised by both the industry and clients: Investment houses, custody or investment banks, private banks, financial divisions within major corporations and service providers for financial institutions. Lingua Custodia’s team is composed of a diversified mix of profiles, strongly skilled in their area of expertise, all committed to our entrepreneurial adventure. But what we value the most at Lingua Custodia are soft skills: Team spirit, trustfulness, open-minded thinking, enthusiasm, freedom to try new ideas or practices ***Responsibilities*** The NLP researcher will be part of the R&D team. He/she will design and implement experiments in the field of Neural Machine Translation, which will be reported in scientific, technical publications and demonstrators at international conferences (WMT, EAMT, ACL, EMNLP). Research activities relate mainly to the following topics: • Automatic data extraction and cleaning methods • Bilingual Terminology induction from monolingual datay • Terminology control in Neural Machine Translation to ensure the reliable translation of specific entities • Modelling of source sentence coverage during translation • Document-level Machine Translation • Machine Translation evaluation ***Qualifications*** • PhD in Computer Science, Machine Learning, Natural Language Processing or any related fields. • Strong track record of successful implementations and publications in Natural Language Processing or Machine Learning. • Experience in Linux environment: Bash scripting. • Proficiency in Python • Proficiency in at least one neural framework: TensorFlow, Pytorch, etc • Bilingual or high proficiency in French ***Benefits*** • Friendly start-up environment • Laptop • Possibility to work remotely • Health insurance • Lunch vouchers ***Contact*** Applications are expected by email: hr(a)linguacustodia.com Please, specify the position name in subject field. thanks in advance, Raheel Qader Head of R&D raheel.qader(a)linguacustodia.com <mailto:jingshu.liu@linguacustodia.com> __ *Natural Language Processing (NLP) for Finance*_ _ _*www.linguacustodia.finance* <https://eur01.safelinks.protection.outlook.com/?url=www.linguacustodia.fina…>_ *France **-**Luxembourg* * * /This message and its attachment contain information that may be privileged or confidential and is the property of Lingua Custodia. It is intended only for the person to whom it is addressed. If you are not the intended recipient, you are not authorized to read, print, retain, copy, disseminate, distribute, use or rely on the information contained in this email. If you receive this message in error, please notify the sender immediately and delete all copies of this message./

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Search Solutions 2022: Registration open + List of Confirmed speakers
by Udo Kruschwitz 11 Oct '22

11 Oct '22

Search Solutions 2022 ------------------------------ Weds 23 November 10:00 - 18:00 https://www.bcs.org/membership-and-registrations/member-communities/informa… Innovations in Search and Information Retrieval Search Solutions is the BCS Information Retrieval Specialist Group’s annual forum focused on practitioner issues and latest innovations in the area of Search and Information Retrieval. The programme includes presentations, panels and keynote talks by influential industry leaders on novel and emerging applications in search and information retrieval. CONFIRMED SPEAKERS (Wednesday 23 November) * Amy Walduck (State Library of Queensland) “The Topography of Searching: Visualising search data“ * Brammert Ottens (Spotify) “Finding the Right Audio Content for You” * Farhad Shokraneh (Institute of Health Informatics, University College London) “The Futures of Systematic Searching” * Filip Radlinski (Google) "Challenges with Really Understanding Natural Language in Conversational Recommendation" * Gavin Moore & Andrew Doyle (University Hospitals Coventry & Warwickshire NHS Trust) “A Programmable Search – A Solution to Finding Guidelines and Patient Information?” * Julien Massiera & Cedric Ulmer (France Labs) “Combining Spacy with Datafari Community Edition to enable semantic Enterprise Search” * Mohamed Yahya (Bloomberg) “Taking Question Answering from Research Prototype to Product” * Natasha den Dekker (LexisNexis) “How to conduct empathetic user research to test the search experience of users?” * Phil Lewis (Pureinsights) “Practical Applications of Knowledge Graphs and AI in Search” TUTORIALS (Tuesday 22 November) Tutorial 1 – Full day IR From Bag-of-words to BERT and Beyond through Practical Experiments * Sean MacAvaney (University of Glasgow), Craig Macdonald (University of Glasgow), Nicola Tonellotto (University of Pisa) Tutorial 2 – AM Approaching Neural Search with Apache Solr and Open-source technologies * Alessandro Benedetti (CEO @ Sease Ltd, Apache Lucene/Solr Committer, Apache Solr PMC Member) Tutorial 3 – PM Simplifying NLP researchers work with Datafari Open Source * Julien Massiera (France Labs), Cedric Ulmer (France Labs) Tutorial 4 – Full Day Diverse Approaches to Systematic Searching * Farhad Shokraneh (Institute of Health Informatics, University College London) LOCATION Search Solutions is organised by the Information Retrieval Specialist Group of the BCS (The Chartered Institute for IT) and ISKO (International Society for Knowledge Organization), and is held at the BCS Central London Office: BCS, The Chartered Institute for IT Ground Floor 25 Copthall Avenue London EC2R 7BP https://www.bcs.org/more/about-us/hire-our-london-office/ REGISTRATION https://www.eventbrite.co.uk/e/search-solutions-2022-inc-tutorials-informat… Registration fees (including VAT at 20%) for Search Solutions are as follows: * BCS member rate: £92 * Non-member rate: £110 * Students: £80 Registration fees include lunch and a copy of the proceedings. Tea and coffee will also be available throughout the day followed by a drinks reception in the evening. Tutorials are payable separately. The registration fees for tutorials are as follows: * BCS member rate: £80 * Non-member rate: £95 * Students: £65 Organisers * Ingo Frommholz * Frank Hopfgartner * Udo Kruschwitz * Tony Russell-Rose * Martin White * Haiming Liu (tutorials chair) Contact For further details, contact irsg(a)bcs.org.uk

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Postdoc (2 years): Deep contextual language modeling for protein sequences
by olivier.ferret＠cea.fr 11 Oct '22

11 Oct '22

CEA-List, a research institute of Paris-Saclay University, is looking for a Postdoctoral Fellow to join its laboratory of semantic analysis of texts and images. In the context of the DeepGenSeq project, you will integrate an interdisciplinary team aiming to move closer to the goal of predictive and generative artificial intelligence for biology by exploiting deep contextual language models of biological sequences, whose representations generalize to several applications like the prediction of mutational effects. BACKGROUND Exponential growth in sequencing throughput together with the sampling of natural (uncultured) populations are providing a deeper view of the diversity of proteins sequences across the tree of life. Proteins are molecular engines sustaining cellular life and the unobserved determinants of their structure and function are encoded in the distribution of observed natural sequences. Therefore, such vast amounts of (unlabelled) sequences provide evolutionary data that can form the ground for unsupervised learning of predictive and generative models of biological function. Our focus here will be to train high-capacity Transformer-based language models on sequence data, in a way analogous to what is done in natural language understanding, where the semantics of words is determined from the contexts in which they appear in sentences. Intrinsic organizing principles captured in the resulting representations can then be applied in transfer learning settings to different prediction sub-tasks using limited experimental data, like the effect of sequence variation on function. Following promising recent results, we plan to also explore zero-shot inference with no additional training and/or supervision from experimental data. This project will be an excellent opportunity for a candidate who is looking to contribute to cutting-edge research and to train with experts in the field. We are seeking a detail-oriented computer scientist and problem solver passionate in science. RESPONSIBILITIES * Tune and optimize existing unsupervised transformer-based language models for protein sequences. * Develop and optimize code and machine learning algorithms for predictive models. * Integrate and analyze large data volumes. * Interact continuously with scientists in an interdisciplinary team. REQUIREMENTS * Ph.D. or M.Sc. in a quantitative discipline, e.g. Applied Mathematics, Computer Science, Computational Biology, Physics or a closely related discipline. * Experience with Python, open-source software libraries for machine learning and Linux (file systems, shell, hardware/software monitoring, etc). * Strong mathematical background and analytical skills. * Effective organizational skills, e.g. the ability to prioritize work and contribute to the planning of a program of scientific research. * Demonstrated interpersonal skills including both the ability to work independently and perform collaborative research in an interdisciplinary team environment. * Good oral and written communication skills. Preferred: Previous experience with transformer-based techniques for NLP pre-training and unsupervised transformer language models TERMS & COMPENSATION This 2 years position is open to a range of candidates from recent college graduates to more experienced scientists (e.g. post-docs) – the chosen candidate's salary will be commensurate with their level of education, skills, and experience. LOCATION We are based on the Paris-Saclay research campus in the south of Paris. HOW TO APPLY Interested candidates should submit a resume and short cover letter to deepgenseq « at » saxifrage.saclay.cea.fr ABOUT US : About CEA-List:: https://list.cea.fr/en/ About the LASTI lab: https://kalisteo.cea.fr/index.php/ai/ https://kalisteo.cea.fr/index.php/textual-and-visual-semantic/ About Genoscope: https://www.genoscope.cns.fr

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Software developer part time 80%
by Dominik Schlechtweg 10 Oct '22

10 Oct '22

As part of the international research project CHANGE IS KEY! a position is available as of 01.01.2023 or as soon as possible thereafter as a Software Developer part-time (80%) for a limited period of 6 months. If the requirements are met, remuneration up to pay group E10 TV-L is possible. The project CHANGE IS KEY! ( https://www.changeiskey.org/ ) is funded by the Swedish Riksbankens Jubileumsfond. The project seeks to make computational linguistic methods for meaning change detection useful for research in the humanities and social sciences. The software developer is developing the DURel annotation tool ( https://durel.ims.uni-stuttgart.de/ ) with the following tasks in particular: * maintenance * bug fixing * further development of the functions, e.g. - implementation of computational annotation bots - data statistics and visualization - data upload - optimized data sampling - interactive tutorials Requirements profile: * Completed university education (at least bachelor's level) in software development/computer science * Advanced programming knowledge in Python, Java, SQL, SpringBoot Knowledge in machine learning, NLP and semantic language modeling is furthermore an advantage. Your application: If you are interested, please send us your complete application in the form of a PDF file by 1.11.2022 exclusively via email to Mr. Dominik Schlechtweg (dominik.schlechtweg AT ims PUNKT uni-stuttgart PUNKT de). This should include the following documents: Letter of motivation, CV, references, contact details of at least one reference. The University of Stuttgart would like to increase the number of women in the scientific field. Therefore, women are explicitly encouraged to apply. Severely disabled persons will be given priority in case of equal suitability. We would like to point out that the submission of the application constitutes consent under data protection law for us to process your application-related data. For more information on the legal basis and use of data in accordance with Art. 13 DS-GVO, please visit https://www.uni-stuttgart.de/datenschutz/bewerbung/. We look forward to receiving your application!

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The 21st International Workshop on Treebanks and Linguistic Theories – SECOND CALL FOR PAPERS
by Kilian Evang 09 Oct '22

09 Oct '22

The 21st International Workshop on Treebanks and Linguistic Theories – SECOND CALL FOR PAPERS Submission link: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Submission deadline: Nov 1st, 2022 The 21st International Workshop on Treebanks and Linguistic Theories (TLT) will bring together developers and users of linguistically annotated natural language corpora and take place during the week of March 9th–12th, 2023 in Washington D.C. on the campus of Georgetown University as part of GURT 2023. VENUE The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will feature four events, which are workshops or conferences focused on computational and corpus approaches to syntax but also covering theoretical issues: Universal Dependency Workshop (UDW), Depling, Treebanks and Linguistic Theory (TLT), and CxGs+NLP. All talks from all events will take place in a single (non-parallel) plenary session, with the papers from one event being presented contiguously. The goal of co-locating these events is to promote cross-fertilization of ideas across subcommunities. Proceedings will be published separately for each event, and will be available in the ACL Anthology. In order to support rich discussions and networking with minimal overhead and cost, GURT will be primarily an in-person event; we will, however, accommodate a limited number of live/synchronous remote presentations, prioritizing those with circumstances that prevent travel. University policies regarding COVID safety will be in force during the event. Georgetown University is located in a historic neighborhood in the heart of the nation’s capital. The city is a premier tourist destination, and the region is served by Reagan National (DCA), Dulles (IAD), and Baltimore-Washington (BWI) airports. SUBMISSION INFORMATION TLT addresses all aspects of treebank design, development, and use. As ‘treebanks’ we consider any pairing of natural language data (spoken, signed, or written) with annotations of linguistic structure at various levels of analysis, including, e.g., morpho-phonology, syntax, semantics, and discourse. Annotations can take any form (including trees or general graphs), but they should be encoded in a way that enables computational processing. Reflections on the design of linguistic annotations, methodology studies, resource announcements or updates, annotation or conversion tool development, or reports on treebank usage are but some examples of the types of papers we anticipate for TLT. Papers should describe original work; they should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference, and interest to the attendees. We invite paper submissions in two distinct tracks: - long papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; - short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces. All papers accepted for presentation at the workshop will be included in the TLT 2023 proceedings volume, which will be part of the ACL Anthology. Long papers may consist of up to 8 pages of content (excluding references and appendices). Short papers may consist of up to 4 pages of content (excluding references and appendices). Accepted papers will be given an additional page to address reviewer comments. All submissions should follow the two-column format and the ACL style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for ACL: https://github.com/acl-org/acl-style-files All papers must be anonymous, i.e., not reveal author(s) on the title page or through self-references. So, e.g., “We previously showed (Smith, 2020) …”, should be avoided. Instead, use citations such as “Smith (2020) previously showed …”. Papers must be submitted digitally, in PDF, and uploaded through the on-line conference system: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Double submission policy: We will accept submissions that have been or will be submitted elsewhere, but require that the authors notify us, including information on where else they are submitting. We also require that authors withdraw work that will be published elsewhere (no double publication). Submissions that violate these requirements will be rejected without review. All papers will be refereed through a double-blind peer review process with final acceptance decisions made by the workshop organizers. Submissions may be selected for publication in a GURT venue other than TLT at the discretion of the organizers. IMPORTANT DATES Long and short paper submission deadlines: November 1st, 2022 Reviews Due: December 10th, 2022 Notification of acceptance: January 9th, 2023 Final version of papers due: January 28th, 2023 GURT2023: March 9th-12th, 2023 TLT WORKSHOP CHAIRS Daniel Dakota, Indiana University Kilian Evang, Heinrich Heine University Düsseldorf Sandra Kübler, Indiana University Lori Levin, Carnegie Mellon University Contact: ddakota(a)iu.edu Website: https://cl.indiana.edu/tlt2023 GURT Website: https://gurt.georgetown.edu/

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2025

2024

2023

2022

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