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First Call for Papers: The Fifth International Workshop on Designing Meaning Representations (DMR 2024) - "Marthaverse of Meaning"
by claire.n.bonial.civ＠army.mil 21 Dec '23

21 Dec '23

DMR 2024 - Call for Papers Timeline When Tues, May 21 Where Torino, Italy Mode hybrid Direct Submission Deadline February 19 ARR Commitment Deadline March 25 Notification of Acceptance March 27 Final Version Due April 8 Workshop site: https://dmr2024.github.io/index.html DMR 2024 will be co-located with LREC-COLING 2024 (the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation), 20-25 May, 2024 at the Lingotto Conference Centre, Torino, Italy. DMR 2024 will be a hybrid event (real-time virtual participation allowed), but in-person participation is encouraged. DMR 2024 submission website: https://softconf.com/lrec-coling2024/dmr2024/ LREC-COLING 2024 website: https://lrec-coling-2024.org/ Contact us with questions at dmr.workshop.0(a)gmail.com Overview DMR 2024 invites the submissions of long and short papers about original works on meaning representations. As the special theme of DMR 2024, we also invite the submissions of original research that have in any way leveraged, expanded, or been inspired by the “Marthaverse of Meaning”-- the 50 years of gold-standard contributions to the field of NLP by 2023 ACL lifetime Achievement Award recipient, Dr. Martha Palmer. Broader Goals DMR intends to bring together researchers who are producers and consumers of meaning representations and, through their interaction, gain a deeper understanding of the key elements of meaning representations that are the most valuable to the NLP community. The workshop will provide an opportunity for meaning representation researchers to present new frameworks and to critically examine existing frameworks with the goal of using their findings to inform the design of next-generation meaning representations. One particular goal is to explore opportunities and identify challenges in the design and use of meaning representations in multilingual settings. Another 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, with an aim of gaining a deeper understanding of areas where each type of meaning representation is the most effective. Special Theme: A Marthaverse of Meaning In her 2023 ACL Lifetime Achievement Award acceptance speech, Dr. Martha Palmer (University of Colorado, Boulder) sums up her 50 years of research in AI and NLP in six words: “Finding meaning, quite literally, in words.” This year's workshop honors Dr. Palmer's contributions with a special theme on resources, approaches, and applications that draw upon her manifold contributions to the field. These resources include Treebanks (Chinese and Arabic TreeBanks, Hindi and Urdu Treebanks), PropBanks (English, Chinese and Arabic), VerbNet, OntoNotes, Abstract Meaning Representation (AMR), and Uniform Meaning Representation (UMR). These resources share attention to semantic detail combined with scalability and, therefore, an ability to generalize to and support a variety of different NLP applications and tasks. Indeed, the applicability of her research extends beyond the textual to the multimodal, where she has broadly contributed to the cross-modal event understanding. DMR 2024 seeks to highlight the depth and the breadth of Dr. Palmer's contributions and their influence over the field of natural language processing by inviting the submission of original works that have in any way leveraged, expanded, or been inspired by the ``Marthaverse of Meaning.'' We also seek to recognize Dr. Palmer's long tenure of dedication to outstanding mentorship that has been so powerful for the many students who have gone on to shape the NLP research community and the field at large. Topics The workshop solicits papers that address one or more of the following topics: Treebanks and the syntax-semantics interface; PropBanks, VerbNets, and semantic role labeling resources; OntoNotes and word sense disambiguation resources; Expansion or pairing of semantic resources with LLMs; Design and annotation of meaning representations; Cross-framework comparison of meaning representations; Automatic parsing of meaning representations; Automatic generation of text from meaning representations; Strengths and weaknesses of existing meaning representations exposed as a result of using them in natural language applications or natural language understanding systems; Use of meaning representations in real-world applications; Issues in applying meaning representations to multilingual settings; Issues in bringing multimodality into meaning representations; The relationship between symbolic meaning representations and distributed semantic representations; The use of LLMs to create meaning representations Formal properties of meaning representations; Any other topics that address the design, processing, and use of meaning representations or Dr. Martha Palmer's contributions to NLP. Submission Details 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 clearly indicate 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. Submissions and Templates: Submission is electronic, using the Softconf START conference management system at https://softconf.com/lrec-coling2024/dmr2024/. Submissions must adhere to the two-column LREC-COLING format. Long papers must not exceed eight (8) pages of content and short papers must not exceed four (4) pages of content. If a paper is accepted, the authors will be given an additional page to address reviewers’ comments in the final version. References and appendices do not count against these limits. When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). We also accept commitments from the ACL Rolling Review (ARR). All ARR commitments to DMR must have received all reviews and meta-reviews by March 25, 2024. For more info on ARR in general, see https://aclrollingreview.org. Author Responsibilities: Reviewing of papers will be double-blind. Therefore, the paper must not include the authors’ names and affiliations or self-references that reveal any author’s identity–e.g., “We previously showed (Smith, 1991) …” should be replaced with citations such as “Smith (1991) previously showed …”. The submissions should also avoid links to non-anonymized repositories: the code should be either submitted as supplementary material in the final version of the paper, or as a link to an anonymized repository (e.g., Anonymous GitHub or Anonym Share). Papers that do not conform to these requirements will be rejected without review. If the paper is available as a preprint, this must be indicated on the submission form but not in the paper itself. In addition, DMR 2024, in accordance with LREC-COLING 2024, will follow the same policy as ACL conferences establishing an anonymity period during which non-anonymous posting of preprints is not allowed. Papers that have been or will be under consideration for other venues at the same time must be declared at submission time. If a paper is accepted for publication at DMR 2024, it must be immediately withdrawn from other venues. If a paper under review at DMR 2024 is accepted elsewhere and authors intend to proceed there, the workshop committee must be notified immediately. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop organizers dmr.workshop.0(a)gmail.com. Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason.

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30 PhD positions in CRC 1646 “Linguistic Creativity in Communication” (Bielefeld University)
by Sina Zarrieß 21 Dec '23

21 Dec '23

The Collaborative Research Center CRC 1646 “Linguistic Creativity in Communication” at Bielefeld University is funded by the German Research Foundation (DFG) and investigates linguistic creativity in communication from different perspectives. The CRC has 30 open PhD positions in the following areas of expertise: * 21 positions in linguistics (65 %) * 1 position in literary studies (65 %) * 1 position in philosophy (65 %) * 2 positions in psychology (75 %) * 5 positions in computational linguistics/computer science (100 %) Application details:https://uni-bielefeld.hr4you.org/job/view/3067/research-positions?p… Application deadline: January 18, 2024 More details about the CRC, brief project descriptions and the tasks of the different research positions can be found here: https://www.uni-bielefeld.de/fakultaeten/linguistik-literaturwissenschaft/f… -- Prof. Dr. Sina Zarrieß Computational Linguistics https://sinazarriess.github.io/ University of Bielefeld Universitätsstr. 25 33615 Bielefeld, Germany +49 521 106-2534

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CFP : READI @ LREC-COLING 2024
by Rémi Cardon 21 Dec '23

21 Dec '23

Call for Papers 3rd Workshop on Tools and Resources for People with Reading Difficulties READI @ LREC-COLING 2024 https://cental.uclouvain.be/readi2024/ Workshop description This interdisciplinary workshop invites participation from individuals with experience and/or interest in applications, technologies, and resources for reading. The general idea is to present state-of-the-art methods, and ongoing research questions, i.e., how can Natural Language Processing (NLP) methods leverage document accessibility? Are serious games appropriate/efficient to enhance reading? What kind of solutions AI proposes to help struggling readers? etc. By bringing together researchers from various research communities, we aim to address the issue from different angles: - Design, evaluation, use, and education related to technologies for reading - Assistive AI applications for learning to read - Existing solutions based on enhancing cognitive strategies to improve reading comprehension skills - Multimedia tools to develop literary education - Natural language applications for automatic text adaptation - AI-powered computer vision tools and applications - Opportunities, challenges, risks of technology-enhanced reading - ... Motivation and Topics of Interest With the growth of educational technologies, several innovative technology applications and resources are devoted to how to foster improvement in student learning to read. In addition, a number of assistive technologies for reading have appeared in the last decades, i.e. “devices and services that enhance the performance of individuals with a disability by enabling them to complete tasks more effectively, efficiently, and independently than otherwise possible” (Blackhurst, 1997). The field of special education has had a longstanding interest in technology and the potential it holds for individuals with language/speech disabilities, cognitive disorders, etc. (Edyburn, 2000). In this context, this workshop aims to present current state-of-the-art applications and approaches addressed to a variety of populations and contexts to enhance reading. While proposing current research on technology-enhanced reading, we would like to widen the perspective of the workshop for ‘field’ professionals (teachers and educators, speech-language pathologists, etc.). The workshop will thus address topics concerning specialized technology, tools, and resources, how they serve specific individuals or processes (i.e., learning to read, reading, comprehending), the impact of the devices on their lives and activities, etc. In the light of recent advances in AI, we would like to bring to the fore innovative works from research to applications in fieldwork. The workshop aims to address the issue from a variety of domains and languages, including education, natural language processing, linguistics, psycholinguistics, cognitive sciences, psychophysics of vision, etc. The focus will be on target populations struggling with learning to read, or with decoding, or with comprehending, etc. such as illiterates, aphasic or dyslexic readers, deaf or hard of hearing, low vision or visually impaired readers, people with autism or speech/language disorders, etc. to name a few. Topics include but are not limited to the following: - Measuring and evaluating readability and text complexity - Models, corpora, lexicons for text adaptation - Text adaptation approaches for target audiences - Meaning representation and multimodal text adaptation - Text generation of adapted contents - Educational devices and/or smart technologies for reading: - serious games for improving reading comprehension skills - text-to-speech applications - decoding training applications to strengthen early reading skills - booklets with lexical resources to look up unknown words - graded materials for adaptive learning - ... Important Dates submission deadline: *February 26th, 2024* notification of acceptance: April 7th, 2024 deadline for camera-ready versions: April 25th, 2024 workshop: May 20th or 21st, 2024 Paper Submission Instructions Paper Length: submissions are expected to be between a minimum of 4 and a maximum of 8 pages in length, plus unlimited pages for references. Submission Format : all submissions must be formatted following the LREC style guidelines https://lrec-coling-2024.org/authors-kit/ (Word, OpenOffice, and LaTeX templates are available). Submissions should be made via the START conference system: https://softconf.com/lrec-coling2024/readi2024/. Papers that do not conform to these requirements will be rejected without review. The submissions will be anonymous (blind reviews). Organizing Committee Rémi Cardon Université catholique de Louvain, Belgium Núria Gala Aix Marseille Université, France Amalia Todirascu Université de Strasbourg, France Rodrigo Wilkens Université catholique de Louvain, Belgium Contact Núria Gala (nuria.gala(a)univ-amu.fr) Program Committee Fernando Alva-Manchego, Cardiff University, UK Delphine Bernhard, Université de Strasbourg, France Dominique Brunato, ILC, Pisa, Italy Rémi Cardon, Université catholique de Louvain, Belgium Éric Castet, Aix Marseille Université, France Stéphanie Ducrot, Aix Marseille Université, France Thomas François, Université catholique de Louvain, Belgium Núria Gala, Aix Marseille Université, France Ludivine Javourey-Drevet, Université de Lille, France Arne Jönsson, Linköping University, Sweden Éole Lapeyre, Aix Marseille Université, France Horacio Saggion, Universitat Pompeu Fabra, Catalonia, Spain Matthew Shardlow, Manchester Metropolitan University, United Kingdom Didier Schwab, Université Grenoble Alpes, France Anaïs Tack, K.U. Leuven, Belgium Amalia Todirascu, Université de Strasbourg, France Vincent Vandeghinste, Instituut voor de Nederlandse Taal (Dutch Lge. Institute), Belgium Giulia Venturi, Istituto di Linguistica Computazionale A. Zampolli (ILC-CNR), Pisa, Italy Elena Volodina, University of Gothenburg, Sweden Rodrigo Wilkens, Université catholique de Louvain, Belgium Describe and Share your LRs! When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).

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1st CfP: 5th International Workshop on Computational Approaches to Historical Language Change 2024 (LChange’24)
by Syrielle Montariol 21 Dec '23

21 Dec '23

***Apologies for possible cross-posting *** First Call for Papers 5th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’24) We are happy to announce that we will organize a full-day workshop co-located with the ACL conference on Aug 15, 2024 in Bangkok and online. We hope to make this fifth edition another resounding success! Website: https://www.changeiskey.org/event/2024-acl-lchange/ Contact email: lchange(a)changeiskey.org Workshop description The LChange workshop targets all aspects of computational modeling of language change, historics as well as synchronic change. It is running in its fifth iteration following successful workshops in (2019 <https://languagechange.org/events/2019-acl-lcworkshop/>, 2021 <https://languagechange.org/events/2021-acl-lcworkshop/>, 2022 <https://languagechange.org/events/2022-acl-lchange/>, 2023 <https://languagechange.org/events/2023-emnlp-lchange/>) and will be co-located with ACL 2024 in Bangkok (Thailand), as a hybrid event. The workshop will take place on Thursday 15 August 2024. The main topics of the workshop remain the same: all aspects around computational approaches to language change with a focus on digital text corpora. LChange explores state-of-the-art computational methodologies, theories and digital text resources on exploring the time-varying nature of human language. The aim of this workshop is to provide pioneering researchers who work on computational methods, evaluation, and large-scale modeling of language change an outlet for disseminating research on topics concerning language change. Besides these goals, this workshop will also support discussion on evaluating computational methodologies for uncovering language change. We’ll also be offering mentorship to students, to discuss their research topic with a member of the field, regardless of whether they are submitting a paper or not. Important Dates (tentative) * May 10, 2024: Paper submission * June 20, 2024: Notification of acceptance * June 30, 2024: Camera-ready papers due * August 15, 2024: Workshop date Submissions We accept two types of submissions, long and short papers, consisting of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. We also welcome papers focusing on releasing a dataset or a model; these papers fall into the short paper category. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please send us an email! Keynote Talks To be announced. If you have any good suggestions, or anyone you would like to listen to, please contact us. Workshop organizers Nina Tahmasebi, University of Gothenburg Syrielle Montariol, École polytechnique fédérale de Lausanne Andrey Kutuzov, University of Oslo Simon Hengchen, University of Gothenburg David Alfter, University of Gothenburg Francesco Periti, University of Milan Pierluigi Cassotti, University of Bari Aldo Moro

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open computational linguistic/cognitive science position at CiMeC, Trento
by Raffaella Bernardi 21 Dec '23

21 Dec '23

*Call for Expression of Interest for Associate Professor or Tenure Track Assistant Professor coming from outside of Italy* *Computational Linguistics Principal Investigator, University of Trento, Center for Mind-Brain Sciences (CIMeC), CIMeC Language, Interaction and Computation (CLIC) lab, Trento, Italy* The Center for Mind/Brain Sciences (CIMeC) at the University of Trento, Italy, invites expressions of interest from highly motivated scholars with the view to open a principal investigator position at the level of Associate Professor or Tenure Track Assistant Professor (in the latter case, if after 3 years the tenure track AP has obtained the Italian Scientific Habilitation for Associate Professor, they will be evaluated to obtain the Associate Professor Position at CIMeC). Applicants are expected to have had a 3-year position abroad at the time and level they apply to. *Research Profile* The ideal candidate for the assistant professor position works in computational linguistics or cognitive science and has a strong track record in at least one of these fields. Preference will be given to candidates with a good knowledge of theoretical linguistics and the ability to carry out experimental work involving human subjects. In addition, associate professor candidates should demonstrate the ability to attract external funding, lead a research team, and have good connections to the international community. All candidates, regardless of their level of seniority, will be expected to participate in the administrative life of CIMeC and should show a willingness to work in a team. All should also demonstrate enthusiasm for teaching and supporting students throughout their academic training. The successful candidate will work in the CIMeC Language, Interaction, and Computation Lab (CLIC: https://www.cimec.unitn.it/en/71/language-interaction-and-computation-labor…) at the Center for Mind-Brain Sciences (CIMeC: http://web.unitn.it/en/cimec). They are expected to be interested in interacting with the rest of the CIMeC faculty on general cognitive neurosciences issues and help develop cutting-edge research at the intersection between computational linguistics, theoretical linguistics, and general cognition and neuroscience. Knowledge of Italian is appreciated but not required. The University of Trento particularly welcomes EoI from female candidates and underrepresented minorities. *Teaching* The candidate will be required to contribute to the Center’s overall goal of delivering high-quality teaching in English at the BSc, MSc, and PhD levels. Tenure Track Assistant Professors are expected to teach 90 hrs/year, while duties for Associate and Full professors are 120 hrs/year. The position holder will have a personal grant for research/travel expenses. The research group will negotiate the possibility of supervising PhD students fully funded by the University. *Other terms and Conditions* Income will depend on the candidate's career stage; the candidate will benefit from tax breaks for the first years. *UniTN and CIMeC* The University of Trento has systematically ranked in Italy's top-tier positions in the past 10 years in both national Research Assessment Evaluations (RAE) and University Surveys. In the latest RAE, the University of Trento ranks 1st among medium universities. The CIMeC's goal is to foster cutting-edge research on cognition and its neural underpinnings and to support the dissemination of these findings internationally and within the local community. As an interdisciplinary research and teaching center, it draws on faculty from several departments, including Psychology and Cognitive Science, Biology, Physics, Mathematics, Information Engineering, and Computer Science. Its faculty originates from Italy, Germany, The Netherlands, Poland, New Zealand, Belgium, the USA, the UK, Argentina, Israel and beyond. In the last 5 years, CIMeC PIs have won many competitive national and international grants, including several European Research Council (ERC) grants, other European Framework grants, and highly competitive grants awarded by the local province. The center has been recognized as Italy's leading cognitive neuroscience research department. It is part of the Erasmus Mundus European Master Program in Language and Communication Technologies. Expressions of interest in English should include a brief motivation letter and should be addressed to: Prof. Yuri Bozzi Director of the Center for Mind-Brain Sciences Corso Bettini 31, 38068 Rovereto Italy Expressions of interest sent by email are welcomed and should be sent to cimec.clic-lab(a)unitn.it Expression of interest should be sent *****by the 1st of February, 2024***** ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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7th workshop CASE 2024 @ EACL: Deadline extension & shared tasks (with a new one with awards)
by ali hürriyetoglu 21 Dec '23

21 Dec '23

Dear all, We are extending the regular paper submission deadline of the workshop CASE 2024 @ EACL to Jan 4, 2024 (AoE) [1]. Please pay attention to the shared tasks organized in the scope of CASE 2024. The new ones are: *1- Climate Activism Stance and Hate Event Detection Shared Task at CASE 2024* Hate speech detection and stance detection are some of the most important aspects of event identification during climate change activism events. In the case of hate speech detection, the event is the occurrence of hate speech, the entity is the target of the hate speech, and the relationship is the connection between the two. The hate speech event has targets to which hate is directed. Identification of targets is an important task within hate speech event detection. Additionally, stance event detection is an important part of assessing the dynamics of protests and activisms for climate change. This helps to understand whether the activist movements and protests are being supported or opposed. This task will have three subtasks (i) Hate speech identification (ii) Targets of Hate Speech Identification (iii) Stance Detection. Codalab Link: https://codalab.lisn.upsaclay.fr/competitions/16206 Registration: In order to register for the shared task, please send a request in codalab. The organizers will approve requests on a daily basis. GitHub Page: https://github.com/therealthapa/case2024-climate *2- Hate Speech Detection in Turkish and Arabic Tweets (HSD-2Lang) (7k Euros total award)* Hate speech, which targets groups based on characteristics such as ethnicity, nationality, religion, colour, gender, and sexual orientation, is a significant problem on social media platforms. Automated detection of such content is crucial for effective content moderation and minimising societal harm, and can also be used in socio-political event analysis. Following the SIU2023-NST competition organized to benchmark progress in Turkish hate speech detection and classification, we are organizing a new shared task in conjunction with CASE @ EACL 2024. This shared task focuses on tackling the challenge of identifying hate speech in tweets in Turkish and Arabic languages. The task is divided into two subtasks: A) Hate Speech Detection in Turkish across Various Contexts; B) Hate Speech Detection with Limited Data in Arabic More details can be found at: https://github.com/boun-tabi/case-2024-hsd-2lang/ Please check the website for detailed information and contact us for anything you think we can help. Best wishes, Ali [1] https://emw.ku.edu.tr/case-2024/, The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text

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The 4th Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP): First Call for Papers
by Luis Chiruzzo - Inco 20 Dec '23

20 Dec '23

The 4th Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP 2024) First Call for Papers The 4th Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP) will be co-located with the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024 <https://2024.naacl.org/>), which is scheduled to be held in Mexico City, Mexico, between June 16-21, 2024. The goal of the workshop is to encourage and increase the visibility of work on the Indigenous languages of the Americas. It aims to encourage research on NLP, computational linguistics, corpus linguistics and speech for Indigenous languages, to connect researchers and professionals from underrepresented communities and native speakers of endangered languages with the ACL community, and, more generally, to promote machine learning approaches suitable for low-resource languages. We invite the submission of - Long papers (8 pages) and short papers (4 pages) on substantial, original, and unpublished research - Non-archival extended abstracts (2 pages), technical reports (8 pages), and work which has been presented at other venues (in the format of the original publication) Submissions do not need to describe work on native languages directly, as long as it is clear why those can benefit from the described approaches. Areas of interest include but are not limited to: - Creation of datasets for NLP applications - Incorporation of external knowledge into neural systems - Linguistic typology and the use of typological features for NLP - Transfer learning, meta-learning, and active learning - Weakly supervised, semi-supervised, and unsupervised learning - Machine translation of low-resource languages - Morphology and phonology of low-resource languages - NLP applications for Indigenous languages of the Americas Important dates: - Start of the anonymity period: February 10, 2024 - Submission deadline: March 10, 2024 - Notification of acceptance: April 14, 2024 - Camera ready papers due: April 24, 2024 - Workshop: June 20 or 21, 2024 All deadlines are 11.59 pm UTC -12h (anywhere on earth). Link to submission portal: https://softconf.com/naacl2024/americasnlp The workshop also includes: - A machine translation shared task on truly low-resource languages - A shared task on morphological adaptation to generate educational examples We also have a diverse set of invited speakers, focused on bridging the gap between linguists, NLP, and machine learning research! - Graham Neubig (multilingual NLP and ML research) - Jaime Pérez González (linguistics research on critically endangered South American languages; field linguistics) Organizing Committee - Manuel Mager, AWS AI Labs - Abteen Ebrahimi, University of Colorado Boulder - Shruti Rijhwani, Google DeepMind - Arturo Oncevay, JP Morgan AI Research - Luis Chiruzzo, Universidad de la República, Uruguay - Robert Pugh, Indiana University, Bloomington - Katharina von der Wense, University of Colorado Boulder and Johannes Gutenberg University Mainz More information and contact information can be found at http://turing.iimas.unam.mx/americasnlp/.

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18 month postdoc position in Natural Language Processing at the University of Copenhagen
by Desmond Elliott 20 Dec '23

20 Dec '23

The Natural Language Processing Section at the Department of Computer Science at University of Copenhagen is advertising an 18 month position for a Postdoctoral Researcher in Natural Language Processing. The position is funded by the European Union Horizon Europe project to Democratize Trustworthy and Efficient Large Language Model Technology for Europe. The overall goal of the project is to develop European large language models (LLMs) on an unprecedented scale, trained on the largest amount of text so far in European AI, covering a range of underrepresented languages, and pushing the limits of European exascale computing. The successful candidate will join a team developing hybrid token-pixel language models and retrieval-augmented language models. The project team includes a consortium of researchers across Europe, and, locally, the co-investigator, a postdoctoral researcher, and one Ph.D student. Further information about the project is available at https://cordis.europa.eu/project/id/101135671. The successful candidate will join the Language and Multimodal Processing group, which is part of a section with a strong, international, and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about the group is available here: https://lampgroup.github.io/ and further information about research at the Department is available here: https://di.ku.dk/english/research/. The application deadline is 31 January 2024, with a start date of 1 April 2024, or as soon as possible thereafter. Further information about the position can be found here: https://employment.ku.dk/faculty/?show=160726 Informal enquiries about the positions can be made to the co-investigator Desmond Elliott, Department of Computer Science, University of Copenhagen, e-mail: de(a)di.ku.dk.

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CALL FOR PAPERS: 9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024)
by Costas Gabrielatos 20 Dec '23

20 Dec '23

9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024) CALL FOR PAPERS Deadline for abstract submission: Friday 15 March 2024 The symposium will take place online on Friday 5 and Saturday 6 July 2024. LxGr primarily welcomes papers reporting on corpus-based research on any aspect of the interaction of lexis and grammar - particularly studies that interrogate the system lexicogrammatically to get lexicogrammatical answers. However, position papers discussing theoretical or methodological issues are also welcome, as long as they are relevant to both lexicogrammar and corpus linguistics. If you would like to present, send an abstract of 500 words (excluding references) to lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. Make sure that the abstract clearly specifies the research focus (research questions or hypotheses), the corpus, the methodology (techniques and metrics), the theoretical orientation, and the main findings. Abstracts will be double-blind reviewed, and decisions will be communicated within four weeks. Full papers will be allocated 35 minutes (including 10 minutes for discussion). Work-in-progress reports will be allocated 20 minutes (including 5 minutes for discussion). There will be no parallel sessions. Participation is free. For details, visit the LxGr website: https://sites.edgehill.ac.uk/lxgr/lxgr2024 If you have any questions, contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ 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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iCASE EPSRC funded PhD- multimodal NLP - University of Manchester & BAE
by Sophia Ananiadou 20 Dec '23

20 Dec '23

We are seeking an enthusiastic PhD candidate to work in multimodal NLP for model-based systems engineering. Details This project is funded by the EPSRC iCASE (sponsored by BAE Systems) to conduct research in the area of multimodal natural language processing (NLP) for model-based systems engineering based on Large Language Models (LLMs). LLMs have demonstrated a remarkable ability to generate text when presented with images, text, audio and video as input. They are able to achieve higher performance than traditional neural methods and pre-trained language models, without the need for supervised training. The project will examine different approaches to multimodal LLM-based NLP to address complex and fine-grained tasks such as reasoning in model-based systems engineering. The PhD will delve into LLM architectures, data augmentation methods, multi-task and domain-specific LLMs, prompting engineering and interpretability. The candidate will have the opportunity to work with experts at BAE to gain experience in the practical application of model-based systems engineering. The candidate will join the world-class teams of Prof. S. Ananiadou (Computer Science and National Centre for Text Mining, Natural Language Processing, LLMs) and Prof. H. Yin (Electrical and Electronic Engineering, Deep Learning, Computer Vision). Requirements You will have a very good undergraduate degree in Computer Science (minimum 2:1 UK or equivalent for EU students). Experience and knowledge of NLP, multimodal LLMs, Ontologies, Semantic Web, Computer Aided Engineering (CAE) and Model-Based Systems Engineering (MBSE) tools and technology will be considered as an advantage. The successful candidate must be capable of obtaining UK security clearance to fulfil any onsite industrial placement at the location of the host site. Research Environment in Host Institution The Department of Computer Science at the University of Manchester (UoM) is in the unique position of hosting the National Centre for Text Mining (NaCTeM), the first publicly funded centre for text mining in the world, focusing on fundamental research in Natural Language Processing (LLMs, interpretability, information extraction) in a variety of domains. Besides NaCTeM, academic expertise in AI is spread across a number of other institutes including the Institute for Data Science and AI (IDSAI), the Centre for AI Fundamentals and partnerships with the Alan Turing Institute and the European Laboratory for Learning and Intelligent Systems (ELLIS). BAE Systems BAE Systems provides some of the world's most advanced, technology-led defence, aerospace and security solutions. They employ a skilled workforce of more than 93,000 people in around 40 countries. Working with customers and local partners, they develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure. Before you apply We strongly recommend that you contact the supervisors of this project prior to application. How to apply To be considered for this project, you will need to complete a formal application through our online application portal<https://www.findaphd.com/common/clickCount.aspx?theid=167305&type=199&DID=1…> by the 26th of January 2024. When applying, you will need to specify the full name of this project, the name of your supervisor, how you are planning to fund your research, details of your previous studies, and the names and contact details of two referees. Please also send the following to Prof. Sophia Ananiadou (Sophia.ananiadou(a)manchester.ac.uk<mailto:Sophia.ananiadou@manchester.ac.uk>) and Prof. Hujun Yin (hujun.yin(a)manchester.ac.uk<mailto:hujun.yin@manchester.ac.uk>): * cover letter and full CV * Full degree transcripts and relevant certificates Candidates will be shortlisted by a panel comprising members of UoM and BAE Systems. Selected candidates will be invited to give a presentation followed by a formal interview. The interviews will be held during the week of 29th January 2024. Your application will not be processed unless all of the required documents are submitted at the time of application, and we cannot accept responsibility for late or missed deadlines. Incomplete applications will not be considered. If you have any questions about making an application, please contact our admissions team by emailing FSE.doctoralacademy.admissions(a)manchester.ac.uk<mailto:FSE.doctoralacademy.admissions@manchester.ac.uk>. Equality, diversity and inclusion<https://www.findaphd.com/common/clickCount.aspx?theid=167305&type=199&DID=1…> is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status. We also support applications from those returning from a career break or other roles. We will consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder). Funding Notes This project is funded through EPSRC iCASE (with BAE Systems). The project will pay the tuition fees and provide a tax free stipend set at the UKRI rate (£18,622). We are able to offer a limited number of studentships to applicants outside the UK. Therefore, full studentships will only be awarded to exceptional quality candidates, due to the competitive nature of this scheme. Additional research funds will be available. ---------- Professor Sophia Ananiadou Department of Computer Science Director, National Centre for Text Mining Deputy Director, Institute for Data Science and Artificial Intelligence Turing Fellow The University of Manchester

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