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Postdoctoral position in NLP at the University of Edinburgh
by Mirella Lapata 05 Dec '23

05 Dec '23

The School of Informatics, University of Edinburgh invites applications for a Research Associate position in natural language processing and machine learning. The research project is flexible; the areas of interest include, among others, multimodal natural language understanding and generation, long-form and retrieval-augmented text generation, semantic parsing, and addressing general limitations of modern NLP methods (e.g., improving generalization and interpretability). The postdoctoral researcher will be supervised by Mirella Lapata<https://homepages.inf.ed.ac.uk/mlap/> and funded by UKRI (the UK Research and Innovation National funding agency) and will join the Edinburgh NLP group (https://edinburghnlp.inf.ed.ac.uk/), one of the largest and most active NLP research groups in the world (see http://csrankings.org/#/index?nlp&world <http://csrankings.org/#/index?nlp&world> ). There are many collaborative opportunities, both within the NLP group as well as across the School of Informatics (which includes faculty working on machine learning, computer vision, speech processing, and social computing). Knowledge, skills and experience: - Ph.D. degree (or about to obtain one) - A strong background in AI, machine learning and/or natural language processing - Publications at top venues in NLP or/and ML - Strong programming skills - Experience with modern deep learning frameworks (e.g., PyTorch) - Strong communication, presentation, and writing skills, and excellent command of English Employment conditions: Grade 7, salary range: £37,099 - £44,263 Full time, Fixed term, 24 months Application deadline: 04/01/2024, 17:00 (UK time) For informal enquiries please contact: Mirella Lapata<https://homepages.inf.ed.ac.uk/mlap/> Please ensure a CV and supporting statement is provided in your application. The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. More information: https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1… The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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[CfP] The Sixth International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data (COMPTEXT) will be held in Amsterdam, the Netherlands, on 2-4 May 2024.
by Johannes B. Gruber 05 Dec '23

05 Dec '23

Dear colleagues, COMPTEXT is an international community of quantitative text analysis and computational social science scholars in political science, international relations and beyond. COMPTEXT 2024 in Amsterdam follows in the footsteps of previous conferences in Budapest (2018), Tokyo (2019) and Innsbruck (online, 2020), Dublin (2022), and Glasgow (2023). COMPTEXT conferences offer ample opportunities to network with computational scholars, to exchange technological knowledge of computational methods, and to obtain useful feedback on ongoing research. For COMPTEXT 2024 in Amsterdam we are seeking paper submissions that: - rely on image, video, text or other digital trace data to study social and political phenomena broadly construed - propose or evaluate new computational methods or tools - seek to make contributions at the intersection of social science and computer science We accept both substantive and methodological papers for presentation: substantive papers may be on any studies in social sciences or humanities that utilize computational methods; methodological papers may describe new computational methods, tools and approaches. Note that conference proceeding will not be published, as the conference format follows social science practices. In keeping with our tradition, ahead of the conference a series of methods training tutorials will be held for registered participants. Courses will be offered for both beginner and advanced level participants. *Submission of Paper Abstracts:* Abstracts of max. 250 words and three substantive and/or methods-related keywords, should be submitted by *Wednesday 20 December 2023*. Notifications of acceptance will be sent by *16 February, 2024*. The registration deadline is *15 March, 2024*. Please submit your paper at https://forms.gle/VrzhEzJEcTNdM3RN9 Please be advised that a conference fee will be charged for participants with accepted papers. The COMPTEXT 2024 Organising Committee consists of: - Mariken A.C.G. van der Velden (Vrije Universiteit Amsterdam) - Roan Buma (Vrije Universiteit Amsterdam) - Alona O. Dolinsky (Vrije Universiteit Amsterdam) - Johannes Gruber (Universiteit van Amsterdam) - Kasper Welbers (Vrije Universiteit Amsterdam) - Miklós Sebők (Centre for Social Sciences, Budapest) *Equality, Diversion, and Inclusion:* COMPTEXT is committed to creating an inclusive conference where diversity is celebrated, and everyone is afforded equality of opportunity. We welcome applications from everyone, including those who identify with any of the protected characteristics that are set out in VU’s Equality, Diversity and Inclusion policy (https://vu.nl/en/about-vu/more-about/diversity). We especially encourage scholars from traditionally underrepresented groups, female scholars, and early-career researchers to apply. For more information, please visit our website: http://www.comptextconference.org/ Questions related to COMPTEXT Amsterdam 2024 should be directed to comptext2024(a)gmail.com. Best regards, The Organizers

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ECAI-2024: Call for Papers, Tutorial Proposals and Workshop Proposals
by luis.magdalena＠gmail.com 05 Dec '23

05 Dec '23

The 27th European Conference on Artificial Intelligence (ECAI-2024) will be held in the beautiful city of Santiago de Compostela during 19-24 October 2024. Join us to mark the 50th birthday since the first AI conference was held in Europe back in 1974. We invite all members of the international AI research community to submit their best work to ECAI. We furthermore invite proposals for workshops and tutorials to be held during the first two days of the conference. Proposals from all subfields of AI, and organisers and presenters of all levels of seniority are welcome. The deadlines are as follows: Workshop proposals: Monday, 15 January 2024 Tutorial proposals: Thursday, 15 February 2024 Papers: Thursday, 25 April 2024 (abstract deadline one week earlier) Demos: Thursday, 9 May 2024 Consult the ECAI-2024 website for the full Calls: Call for Workshop Proposals: https://www.ecai2024.eu/calls/workshops Call for Tutorial Proposals: https://www.ecai2024.eu/calls/tutorials Call for Papers: https://www.ecai2024.eu/calls/main-track Call for Demos: https://www.ecai2024.eu/calls/demos Calls for the Doctoral Consortium and our sister conference on Prestigious Applications of Intelligent Systems (PAIS) will get published soon, so please stay tuned. -- Luis Magdalena Publicity Chair of the European Conference on Artificial Intelligence (ECAI-2024)

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Edge Hill Corpus Research Group, 14 December 2023
by Costas Gabrielatos 05 Dec '23

05 Dec '23

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 14 December 2023, 2:00-3:30 pm (UK time). Topics: Discourse-Oriented Corpus Studies, Collocation Networks Speakers: Dan Malone<https://independent.academia.edu/DanielMalone14> (Edge Hill University, UK) & Hanna Schmück<https://hannaschmueck.github.io/> (Lancaster University, UK) Title: A pack of lone wolves? Exploring the nexus between the lone-wolf terrorist, Al-Qaeda, and ISIS in the British Press Registration (free) closes on Tuesday 13 December, 1pm. You can register here: https://store.edgehill.ac.uk/conferences-and-events/faculty-of-arts-and-sci… Abstract Following recent events in Belgium and Israel, the lone-wolf terrorist re-emerged in media reportage, with President Joe Biden<https://edition.cnn.com/2011/09/11/tv/biden-does-not-rule-out-possibility-o…> and former GCHQ Director Sir David Omand<https://inews.co.uk/news/uk-facing-heightened-threat-from-lone-wolf-terror-…> expressing concerns over potential attacks in the USA and UK. Days later, Belgian Prime Minister Alexander De Croo described the neutralised Brussels shooter as "probably a lone wolf,"<https://www.theguardian.com/world/2023/oct/17/killing-of-two-swedes-in-brus…> thus aiming to downplay the risk of subsequent incidents. Together, these instances exemplify that by shaping a "reality" (Entman, 2004), (in)security discourses can amplify or downplay a terrorist threat, in turn reflecting and/or influencing public perception and potentially guiding policy responses. Historically, the lone wolf has been associated with different movements, ranging from the propaganda of the deed in the 19th Century to the leaderless resistance of white-supremacist groups in the 1980s and 90s. More recently, it is within the domain of Islamist terrorism, often dominated by Al-Qaeda and ISIS, where the lone wolf has become increasingly associated, especially in the British press. In this joint presentation, we discuss the analytical approaches and results from our analysis of discourses surrounding the lone-wolf terrorist, al Qaeda, and ISIS in three diachronic sub-corpora of the Lone Wolf Corpus (Malone, 2020), a compilation of British Press articles from 2000 to 2019. In a unique methodological combination, we employed large-scale collocation networks and topical clustering to examine shifting discourses through collocational clusters, and applied a corpus-based critical discourse analysis to examine representations of the Al-Qaeda-ISIS nexus. Hanna introduces the methodology employed to generate topical clusters and discusses collocational changes and constants in emerging discourses surrounding the lone-wolf terrorist. The resulting patterns present a discursive shift from clusters related to causative factors (e.g., a mental health subcluster), towards the internationalisation and institutionalisation of lone-wolf terrorism, and finally to response management in the form of sentencing and punitive actions (e.g., a court proceedings/prison subcluster). Reporting on his corpus-based critical discourse analysis, Daniel presents the emergent representations surrounding co-occurrences of the node AL QAEDA with ISIS. These discourses were categorised into four modes of representation of presented relationship-types: Convergence, Association, Dissociation, and Divergence. These modes contributed to surrounding (in)security discourses that at times equate, promote and/or relegate different entities in a continual reshuffling of the threat hierarchy; a process termed here enmity reimagining. References Entman, R. (2004). Projections of Power: Framing News, Public Opinion, and U.S. Foreign Policy. The University of Chicago Press: London. Malone, D. (2020). Developing a complex query to build a specialised corpus: Reducing the issue of polysemous query terms. Corpora and Discourse International Conference 2020. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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New online language resource: coanzse.org
by Steven Coats 05 Dec '23

05 Dec '23

To:corpora@list.elra.info Tue 1/3/2023 9:38 PM Dear Corpora list subscribers, I'm pleased to announce the availability of CoANZSE Audio v0.2, the searchable online version of the Corpus of Australian and New Zealand Spoken English. The resource provides access to 195.5m words of part-of-speech-tagged transcripts from 478 Australian and New Zealand locations, as well as to over 18 million FLAC audio and forced alignment files in Praat's TextGrid format. Access to the corpus is freely available for research and educational purposes at https://coanzse.org<https://coanzse.org/> via login through CLARIN/eduGAIN-affiliated service providers or a clarin.eu account. With kind regards, Steven Coats University Lecturer English, Faculty of Humanities University of Oulu P.O. Box 8000, FI-90014 University of Oulu Finland https://cc.oulu.fi/~scoats

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CfP: Special issue of the TAL journal: Scholarly Document Processing
by Florian Boudin 05 Dec '23

05 Dec '23

Special issue of the TAL journal: Scholarly Document Processing https://tal-65-2.sciencesconf.org/ ** Deadline for submission: March, 15th 2024 ** ** Guest Editors ** Florian Boudin, JFLI/LS2N, Nantes University Akiko Aizawa, National Institute of Informatics ** Context ** The body of scholarly literature is steadily and rapidly expanding. In arXiv alone, the number of scientific articles submitted in 2022 exceeded 185,000, averaging nearly 500 submissions per day. In the face of this exponential growth, researchers and institutions are continually challenged to keep pace with the sheer volume of new knowledge being created. Automated methods for analyzing and interpreting scientific papers are therefore urgently needed to assist researchers in navigating through the expanding volume of scientific information, enabling more efficient and targeted acquisition of new knowledge across various fields. More precisely, the development of methods capable of extracting reliable, valuable and verifiable information from scientific papers is crucial for many downstream tasks including retrieval, recommendation, summarization, question-answering and document understanding. The uniqueness of scientific papers, marked by intricate technical language, discipline-specific terminology, a distinct structural organization and the inclusion of complex elements such as equations, tables, and figures, poses a significant challenge for existing natural language processing and information retrieval methods. Furthermore, these methods should also account for additional features provided at the collection level (e.g., citation networks) or embedded in rich paper metadata (e.g., authors, keywords, publication venues), each introducing its own set of challenges. This special issue of the TAL journal is dedicated to papers describing work that address these challenges, and more broadly to papers describing research on *natural language processing and information retrieval of scholarly and scientific documents*. Relevant topics for this issue include, but are not limited to, the following areas (in alphabetical order): - Bibliometrics, scientometrics - Citation analysis and recommendation - Claim verification - Datasets, tools and resources - Information extraction, NER - Large Language Models (LLMs) - Plagiarism detection - Question-answering - Retrieval and recommendation - Scientific document analysis - Scientific writing assistance - Text simplification - Summarization and generation ** Important dates ** • Submission deadline: 15 March 2024 • Notification to the authors after first review: May 2024 • Notification to the authors after second review: September 2024 • Publication : December 2024 ** Submission format ** The length of the papers must be between 20 and 25 pages. Style sheets are available on the journal's website ([https://www.atala.org/content/instruction-authors-style-files-0](https://ww…). Authors are invited to submit their paper on this platform: [https://tal-65-2.sciencesconf.org/](https://tal-65-2.sciencesconf.org/) To do so, authors will need to first create an account by clicking on "Create account" (Créer un compte) next to the “Login" (Connexion) button at the top of this page. To submit a paper, authors can connect to their account and upload their submission in "My Space" > "My submissions”. The articles can be written in English or in French. The TAL journal has a double-blind review process. It is necessary to anonymize the article, the name of the file, and to avoid self-references. Each article is evaluated by three reviewers, two external reviewers and a member of the editorial board of the journal TAL. ** TAL Journal ** TAL (Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing, [http://www.atala.org](http://www.atala.org)) since 1959 with the support of CNRS (National Centre for Scientific Research). It has moved to an electronic mode of publication, with printing on demand. The TAL journal is open-access. Paper submission, publication and access are free of charge. Papers published in the TAL journal will be made available on the ATALA website and on ACL Anthology.

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PhD opportunity at King's College London
by Barbara McGillivray 04 Dec '23

04 Dec '23

(Apologies for cross-posting) A fully funded PhD position is now available at King’s College London on the project “‘Lost for words’: semantic search in the Find Case Law service of The National Archives”, a Collaborative Doctoral Award received by King’s College London in collaboration with The National Archives and funded by the London Arts & Humanities Partnership (LAHP). This interdisciplinary project is an exciting opportunity to work in natural language processing (particularly computational semantics and information retrieval) applied to legal texts and digital humanities. About the project: Access to case law is vital for safeguarding the constitutional right of access to justice. It enables members of the public to understand their position when facing litigation and to scrutinise court judgements. Since April 2022, UK court and tribunal decisions are preserved by The National Archives’ Find Case Law service as freely accessible online public records. This project seeks to improve Find Case Law by enhancing it with meaning-sensitive (semantic) search functionality. It will study how individuals without legal training use language to navigate court judgments and it will develop tools to facilitate this navigation. In most digital cultural heritage catalogues, while we can search for words within the metadata describing their records, we cannot search for records based on the meaning of words contained within these records, for example the different words to refer to “knife crime”. Therefore, users’ access to collection is determined by their ability to articulate their information need precisely. Recent advances in natural language processing unlock new possibilities for querying documents via state-of-the-art semantic search. Incorporating such search capabilities in the Find Case Law collection is crucial for democratising access to digital collections, helping expose the social impact of how the law is written. Skills required  Essential:   · Experience with Natural Language Processing research and applied work, including developing new tools.   · Interest in working with UK case law for improving access to justice  Desirable:   · Background in law or legal research.  · Experience working with digital archives   · Knowledge of User experience (UX) research   · Knowledge of lexical semantics.   · Experience with semantic search.   · Experience with NLP applied to legal texts.     About application process: Applicants will need to submit an application for a PhD in Digital Humanities at King’s (https://tinyurl.com/ycxekhzv ) and an application for the LAHP (https://www.lahp.ac.uk/prospective-students/collaborative-doctoral-awards-p…). Both applications need to be submitted by 26 January 2024 at 5pm. Application Deadline: 26-Jan-2024 Web Address for Applications: https://lahp.flexigrant.com/login.aspx?ReturnUrl=https%3a%2f%2flahp.flexigr… For queries specific to the project, please contact the project’s lead supervisor Barbara McGillivray on barbara.mcgillivray(a)kcl.ac.uk<mailto:barbara.mcgillivray@kcl.ac.uk>   Barbara McGillivray | @BarbaraMcGilli<https://twitter.com/BarbaraMcGilli> Lecturer in Digital Humanities and Cultural Computation and lead of MA programme in Digital Humanities Group lead of the Computational Humanities Research Group<https://www.kcl.ac.uk/research/computational-humanities-research-group> Room 3.28, Department of Digital Humanities, King’s College London, Strand Campus, Strand, London, WC2R 2LS Group lead of the Computational Humanities Research Group at King’s College London<https://www.kcl.ac.uk/research/computational-humanities-research-group> Turing Fellow<https://www.turing.ac.uk/people/researchers/barbara-mcgillivray>, The Alan Turing Institute Editor-in-chief of Journal of Open Humanities Data<https://openhumanitiesdata.metajnl.com/>

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The Anthony C. Clarke Award for the 2023 EAMT Best Thesis: Call for Thesis
by Carol Scarton 04 Dec '23

04 Dec '23

******************************************************* The Anthony C. Clarke Award for the 2023 EAMT Best Thesis Deadline: 08/02/2024 Notification: 08/03/2024 Website: https://eamt.org/2023/12/03/the-anthony-c-clarke-award-for-the-2023-eamt-be… ******************************************************* The European Association for Machine Translation (EAMT, http://www.eamt.org) is an organization that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. The EAMT invites entries for its twelfth EAMT Best Thesis Award for a PhD or equivalent thesis on a topic related to machine translation. Previous year winners can be found at https://eamt.org/best-thesis-award/. ** Eligibility ** Researchers who - have completed a PhD (or equivalent) thesis on a relevant topic in a European, African or Middle Eastern institution within calendar year 2023, - have not previously won another international award for that thesis, and, - are members of the EAMT at the time of submission, are invited to submit their theses to the EAMT for consideration. ** Panel ** The submissions will be judged by a panel of experts who will be specifically appointed, based on the EAMT 2024 program committee, and which will be ratified by the Executive Board of the EAMT. ** Selection criteria ** Each thesis will be judged according to how challenging the problem was, to how relevant the results are for machine translation as a field, and to the strength of their impact in terms of scientific publications. ** Scope ** The scope of the thesis does not need to be confined to a technical area, and applications are also invited from students who carried out their research into commercial and management aspects of machine translation. Possible areas of research include: - development of machine translation or advanced computer-assisted translation: methods, software or resources - machine translation for less-resourced languages - the use of these systems in professional environments (freelance translators, translation agencies, localisation, etc.) - the increasing impact of machine translation on non-professional Internet users and its impact in communications, social networking, etc. - spoken language translation - the integration of machine translation and translation memory systems - the integration of machine translation software in larger IT applications - the evaluation of machine translation systems in real tasks such as those above - the cross-fertilisation between machine translation and other language technologies ** Prize ** The winner will be announced on the 8th of March 2024 and will receive a prize of €500, together with an inscribed certificate. The recipient of the award will be required to briefly present their research at EAMT 2024 to be held from 24th June to 27th June 2024 in Sheffield, UK ( https://eamt2024.sheffield.ac.uk/). In order to facilitate this, the EAMT will waive the winner's registration costs, and will make available a travel bursary of €200 to enable the recipient of the award to attend the said conference. The prize includes complimentary membership in the EAMT for 2025. ** Submission ** Candidates will submit, using OpenReview ( https://openreview.net/group?id=EAMT.org/2024/Thesis_Award) a single PDF file containing: - a 2-page summary of your thesis in English, containing: ---- your full contact details, ---- the name and contact details of your supervisor(s), ---- the main aspects of your work, namely goal/objectives, methodology and results. - a copy of your CV in English (at most one page, plus a complete list of publications directly related to the thesis) - an electronic copy of your thesis - optionally, an appendix with any other relevant information on the thesis By submitting their work, authors - agree that, in case they are granted the award, any subsequently published version of the thesis should carry the citation "The Anthony C. Clarke Award for the 2023 EAMT Best Thesis" and - acknowledge the right of the EAMT to publicize the granting of the award. For this year's Best Thesis Award we are requiring candidates to be an individual EAMT member at the time of submission. For EAMT memberships, please visit: https://eamt.org/101-2/. ** Closing date ** Submission deadline: February 8, 2024, 23:59 CEST. Award notification: March 8, 2024. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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EAMT 2024: 1st Call for Workshop Proposals
by Carol Scarton 04 Dec '23

04 Dec '23

******************************************************* EAMT 2024: The 25th Annual Conference of The European Association for Machine Translation 24 - 27 June 2024 Sheffield, UK https://eamt2024.sheffield.ac.uk/ @eamt2024 (X account) Workshop proposal deadline: 31 January 2024 Workshop date: 27 June 2024 More information: https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers ******************************************************* *** Overview *** The European Association for Machine Translation (EAMT) invites proposals for workshops to be held in conjunction with the EAMT 2024 conference taking place in Sheffield, UK, from 24 to 27 June 2024, with workshops held on 27 June. We solicit proposals in all areas of machine translation. EAMT workshops are intended to provide the opportunity for MT-related communities of interest to spend focused time together advancing the state of thinking or the state of practice in their area of interest or endeavour. Workshops are generally scheduled as full-day events. Every effort will be made to accept or reject (with reason) workshop proposals as soon as possible after they are received by the organising committee so that the workshop organisers have adequate time to prepare the workshop. *** Submission information *** Proposals should be submitted as PDF documents. Note that submissions should be ready to be turned into a Call for Papers to the workshop within one week of notification. The proposals should be at most two pages for the main proposal and at most two additional pages for information about the organisers, programme committee, and references. Thus, the whole proposal should not be more than four pages long. The two pages for the main proposal must include: - A title and authors, affiliations, and contact information. - A title and a brief description of the workshop topic and content. - A list of speakers and alternates whom you intend to invite to present at the workshop. - An estimate of the number of attendees. - A description of any shared tasks associated with the workshop (if any), and an estimate of the number of participants. - A description of special requirements and technical needs. - If the workshop has been held before, a note specifying where previous workshops were held, how many submissions the workshop received, how many papers were accepted (also specify if they were not regular papers, e.g., shared task system description papers), and how many attendees the workshop attracted. - An outline of the intended workshop timeline with details about the following items: ---- First call for workshop papers: some date ---- Second call for workshop papers: some date ---- Workshop paper due: some date ---- Notification of acceptance: some date ---- Camera-ready papers due: some date Workshops are expected to follow the timelines below, so please make sure the dates above fit into the schedule: - 1st Call: no later than 14 March - 2nd Call: no later than 04 April - Deadline: 15 April (no later than 20 April) - Acceptance: no later than 20 May - Camera ready: no later than 27 May - Proceedings deadline: 12 June - Workshops: 27 June The two pages for information about the organisers, program committee, and references must include the following: - The names, affiliations, and email addresses of the organisers, with a brief description (2-5 sentences) of their research interests, areas of expertise, and experience in organising workshops and related events. - A list of Programme Committee members, with an indication of which members have already agreed. - References Submissions should be formatted according to the templates specified below. Anonymisation is not required. Submissions should be no longer than 4 pages, and submitted as PDF files to OpenReview: https://openreview.net/group?id=EAMT.org/2024/Workshops_Track. *** Templates for writing your proposal *** There templates available in the following formats (check our website -- https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers): - LaTeX - Cloneable Overleaf template - Word - Libre Office/Open Office - PDF Please also use these templates for camera-ready workshop contributions to comply with the format requirements for the workshop proceedings to be published in the ACL Anthology. *** Evaluation criteria *** The workshop proposals will be evaluated according to their originality and impact, and the quality of the organising team and Programme Committee. *** Organiser Responsibilities *** The organisers of the accepted proposals will be responsible for publicising and running the workshop, including reviewing submissions, producing the camera-ready workshop proceedings in the ACL Anthology format, as well as organising the schedule with local EAMT organisers. For every accepted workshop, we offer one free registration for the EAMT 2024 conference to one workshop organiser. *** Important dates *** - Proposal submission deadline: 31 January 2024 - Notification of acceptance: rolling basis (no later than 28/02/2024) All deadlines are 23:59 CEST *** Workshop Co-Chairs*** Mary Nurminen (Tampere University) Diptesh Kanojia (University of Surrey) *** Local organising committee *** Carolina Scarton (University of Sheffield) Charlotte Prescott (ZOO Digital) Chris Bayliss (ZOO Digital) Chris Oakley (ZOO Digital) Xingyi Song (University of Sheffield) -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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EAMT 2024: 1st Call for Tutorial Proposals
by Carol Scarton 04 Dec '23

04 Dec '23

******************************************************* EAMT 2024: The 25th Annual Conference of The European Association for Machine Translation 24 - 27 June 2024 Sheffield, UK https://eamt2024.sheffield.ac.uk/ @eamt2024 (X account) Tutorial proposal deadline: 08 March 2024 Tutorial date: 27 June 2024 More information: https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers ******************************************************* *** Overview *** The European Association for Machine Translation (EAMT) invites proposals for tutorials to be held in conjunction with the EAMT 2024 conference taking place in Sheffield, UK, from 24 to 27 June, with tutorials held on 27 June. We seek proposals in all areas of machine translation (see the call for papers of the main conference for the focus areas of EAMT 2024). The aim of a tutorial is primarily to help the audience develop an understanding of particular technical, applied, and business matters related to research, development, and use of MT and translation technology. Presentations of particular technological solutions or systems are welcome, provided that they serve as illustrations of broader scientific considerations. We recommend that the tutorial covers work by the presenters as well as by other researchers. The submission should explain that this breadth is ensured. Tutorials should not be “self-invited talks”. *** Submission Details *** Proposals should not exceed 4 pages of content (plus unlimited pages for references), should be in PDF format, and should contain the following: - A title and authors, affiliations, and contact information. - A brief description of the tutorial content and its relevance to the machine translation community. - Short description of the target audience and any expected prerequisite background the audience should be aware of. - An outline of the tutorial structure content and how it will be covered in a three-hour slot (half-day). In exceptional cases, six-hour tutorial slots (full day) are available. These time limits do not include coffee breaks, e.g., a three-hour tutorial, in fact, occupies a 3.5-hour slot, and a six-hour tutorial occupies a 7-hour slot. - Diversity considerations, e.g. use of multilingual data, indications of how the described methods scale up to various languages or domains, participation of both senior and junior instructors, demographic and geographical diversity of the instructors, plans for how to diversify audience participation, etc. - Reading list. Work that you expect the audience to read before the tutorial can be indicated by an asterisk. Recommended papers should provide the breadth of authorship and include work by other authors, and work from other disciplines is welcome if relevant. - For each tutorial presenter, a one-paragraph statement of their research interests and areas of expertise for the tutorial topic, as well as experience in instructing an international audience. An estimate of the audience size for the tutorial. If the same or a similar tutorial has been given before, include information on where any previous version of the tutorial was given and how many attendees the tutorial attracted. - A description of special requirements for technical equipment. Tutorial proposals should be submitted as PDF files to OpenReview: https://openreview.net/group?id=EAMT.org/2024/Tutorials_Track. Submissions should be formatted according to the templates specified below. Anonymisation is not required. Submissions should be no longer than 4 pages (excluding references). *** Templates for writing your proposal *** There templates available in the following formats (check our website -- https://eamt2024.sheffield.ac.uk/conference-calls/call-for-papers): - LaTeX - Cloneable Overleaf template - Word - Libre Office/Open Office - PDF *** Evaluation Criteria *** Each tutorial proposal will be evaluated according to its clarity and preparedness, novelty or timely character of the topic, and instructors’ experience. ** Tutorial Instructor Responsibilities *** Accepted tutorial presenters will be notified by 8 April 2024. They must then provide abstracts of their tutorials for inclusion in the conference registration material by the specific conference deadlines. The description should be in two formats: (a) an ASCII version that can be included in email announcements and published on the conference website, and (b) a PDF version for inclusion in the electronic proceedings (detailed instructions will be provided). Tutorial speakers must provide tutorial materials by 15 May 2024. The final submitted tutorial materials must minimally include copies of the course slides and a bibliography for the material covered in the tutorial. For each tutorial being held at EAMT 2024, we offer free registration to the conference for one tutor only. *** Important Dates *** - Submission deadline for tutorial proposals: 8 March 2024 - Notification of acceptance: 8 April 2024 - Tutorial slides + abstract + bibliography + any other materials: 15 May 2024 All deadlines are at 23:59 CEST. *** Workshop Co-Chairs *** Mary Nurminen (Tampere University) Diptesh Kanojia (University of Surrey) *** Local organising committee *** Carolina Scarton (University of Sheffield) Charlotte Prescott (ZOO Digital) Chris Bayliss (ZOO Digital) Chris Oakley (ZOO Digital) Xingyi Song (University of Sheffield) -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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