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[FPI on NLP] PhD position on knowledge discovery from text and semantic-based computational models, at the University of Alicante (SPAIN)
by Yoan Gutierrez 30 Dec '22

30 Dec '22

Dear researcher, in case you: - are interested in a *fully-funded PhD position* to research on *knowledge discovery* from text and *semantic-based computational models*; - have a *Master degree* in Computer Science, Mathematics or related disciplines; - are an *enthusiastic person* who loves to face the frontiers of knowledge; - are willing to *join *a strong and multidisciplinary *NLP research group*; - like the* fantastic **ecosystem* of Alicante (i.e. sun, sea, mountain, delicious food, sport variety), networking, and social events; *this PhD. position is for you!!!* We are inviting applications for one fully funded PhD position in the Department of Software and Computing systems <https://www.dlsi.ua.es/index.cgi?id=eng>, University of Alicante (Spain). The request can be made from * January 12, 2023*, with a starting date of as early as possible in 2023. More details below and on this link: https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *About the Project:* [TRIVIAL] Technological resources for intelligent viral analysis through NLP <https://trivial.gplsi.es/en> *Objectives*: - Automated resource generation leveraging collective intelligence. - Studying and modelling the variety of digital contents based on semantic characteristics represented by digital entities. - Analysis of the influence and impact of digital content in different scenarios. - Generation of knowledge from the different digital models obtained. - Application and evaluation of the acquired knowledge to real use cases in society. *Candidate requirements: *Applicants will need to meet general entry requirements, and will have a Master degree in Computer Science, Mathematics or related disciplines. Experience on semantic analysis of language, statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable. *How to apply: *Applications for the PhD studentship must be made directly to the Researching State Agency <https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat…> using the *Online Application Form <https://aplicaciones.ciencia.gob.es/ayudaspredoctorales/>*. *Make sure you name project code **PID2021-122263OB-C22* (the list of receiver projects are here <https://www.aei.gob.es/sites/default/files/convocatory_info/2022-12/Listado…>) as receiver. Information on what documents are required and a link to the application form can be found here - https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *Funding Notes:* This position is funded by the State Plan for Scientific and Technical Research and Innovation 2021-2023. *Spanish and International students are eligible to apply!* We look forward to meeting you ;). *For any doubt or help do not hesitate to contact us!* Best regards, -- ................. Yoan Gutiérrez Vázquez PhD. Full-time Lecturer Department of Software and Computing systems, University of Alicante Bio: http://ygutierrez.gplsi.es/

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Faculty position (Associate professor, tenure position), Machine-Learning for Social Computing, Telecom Paris
by matthieu.labeau＠telecom-paris.fr 30 Dec '22

30 Dec '22

[Apologies for cross postings] ******************************************************** Faculty position (Associate professor, tenure position) at Telecom Paris in Machine-Learning for Social Computing. Telecom Paris has a new permanent (tenure) faculty position (Associate Professor/ “Maître de conférences”) in the area of **machine learning for social computing**. Applicants from the following sub-research areas are welcome: - Neural models for the recognition and generation of socio-emotional behaviors - Natural language and speech processing - Dialogue, conversational systems, and social robotics - Reinforcement learning for dialogue - Sentiment analysis in social interactions - Bias and explainability in AI - Model tractability, multi-task learning, meta-learning Important Dates - March 20th, 2023: closing date for applications - April 20th, 2023: hearings of the preselected candidates Context Social Computing team [1] - S²A (machine learning, statistics and signal processing) group [2] - LTCI (laboratoire de traitement et communication de l’information) [3] - Telecom Paris [4] . Ecosystem Telecom Paris [4] is a founding member of the Institut Polytechnique de Paris (IP Paris, https://www.ip-paris.fr/en/), a world-class scientific and technological institution. Located at the Plateau de Saclay close to Paris-Saclay University, this Institution is a partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris, Télecom SudParis, with HEC as a key partner. Regularly ranked as one of the best engineering schools in France, Télécom Paris is recognized for its excellent training, its very good employability rate with high salaries, its high-level research, and its very close proximity to companies. The THE (Times Higher Education) ranks Télécom Paris 2nd best French engineering school, 5th better French university, and 6th « best small university » (https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-…). The newly created institution IP Paris was ranked in the top 50 best universities in the QS world university ranking. In the context of the Institut Polytechnique de Paris, the activities in Data Science and AI of the team benefit from the center Hi!Paris (https://www.hi-paris.fr), offering seminars, workshops, and fundings through calls for project. Main missions/Research activities - Develop groundbreaking research in the field of machine learning applied to Social Computing, which includes: natural language and speech processing, dialogue, conversational systems, and social robotics, reinforcement learning for dialogue, sentiment analysis in social interactions, bias and explainability in AI, model tractability, multi-task learning, meta-learning - Develop both academic and industrial collaborations on the same topic, including collaborative activities with other Telecom Paris research departments and teams (including social sciences researchers of economics and social sciences department [6]), and research contracts with industrial players - Set up research grants and take part in national and international collaborative research projects - Publish high-quality research work in leading journals and conferences - Be an active member of the research community (serving on scientific committees and boards, organizing seminars, workshops, and special sessions...) Main missions/Teaching activities Participate in teaching activities at Telecom Paris and its partner academic institutions (as part of joint Master programs), especially in natural language processing, speech processing, machine learning, and Data Science, including life-long training programs (e.g. the local “Mastères Spécialisés”) Candidate profile As a minimum requirement, the successful candidate will have: - A Ph.D. degree - A track record of research and publication in one or more of the following areas: conversational artificial intelligence, machine learning, natural language processing, speech and signal processing, human-agent interactions, social robotics - Experience in teaching - An international postdoctoral experience is welcome but not mandatory - Excellent command of English NOTE: The candidate does *not* need to speak French to apply, just to be willing to learn the language (teaching will be mostly given in English) Other skills expected include: - Capacity to work in a team and develop good relationships with colleagues and peers - Excellent writing and pedagogical skills More about the position - Place of work: Saclay (Paris outskirts) How to apply? Applications must be submitted via one of the following websites: French Version: https://institutminestelecom.recruitee.com/o/enseignantchercheur-en-machine… English Version: https://institutminestelecom.recruitee.com/l/en/o/enseignantchercheur-en-ma… Applicants should submit a single PDF file that includes: - cover letter, - curriculum vitae, - statements of research and teaching interests (4 pages) - three publications - contact information for two references Contacts: == please do not hesitate to directly contact us before applying == Chloé Clavel (Coordinator of the Social Computing team) Stéphan Clémençon (Head of the S²A group) Florence d’Alché-Buc (Head of the IDS department) [1] https://www.telecom-paris.fr/en/research/laboratories/information-processin… [2] https://www.telecom-paris.fr/en/research/laboratories/information-processin… [3] https://www.telecom-paris.fr/fr/lecole/departements-enseignement-recherche/… [4] https://www.telecom-paris.fr/en/research/laboratories/information-processin… [5] https://www.telecom-paris.fr/en/home [6] https://www.telecom-paris.fr/en/the-school/teaching-research-departments/ec…

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2ndCFP: Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems (deadline 31 Jan 2023)
by Ryuichiro Higashinaka 29 Dec '22

29 Dec '22

Dear all, Let us send a reminder of a special issue on "Multimodal Processing and Robotics for Dialogue Systems" in the journal of Advanced Robotics (Taylor & Francis). Please consider submitting your original paper to this special issue. The deadline is 31 Jan. 2023. https://think.taylorandfrancis.com/special_issues/advanced-robotics-multimo… https://www.rsj.or.jp/content/files/pub/ar/CFP/CFP_37_21.pdf I would also appreciate it if you could help distribute the CFP and encourage your colleagues to make submissions. Best regards, Ryuichiro Higashinaka on behalf of guest editors ///////////////////////////////////////////////////////////////////////// [Call for Papers] Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems Co-Editors: Prof. David Traum (University of Southern California, USA) Prof. Gabriel Skantze (KTH Royal Institute of Technology, Sweden) Prof. Hiromitsu Nishizaki (University of Yamanashi, Japan) Prof. Ryuichiro Higashinaka (Nagoya University, Japan) Dr. Takashi Minato (RIKEN/ATR, Japan) Prof. Takayuki Nagai (Osaka University, Japan) Publication in Vol. 37, Issue 21 (Nov 2023) SUBMISSION DEADLINE: 31 Jan 2023 In recent years, as seen in smart speakers such as Google Home and Amazon Alexa, there has been remarkable progress in spoken dialogue systems technology to converse with users with human-like utterances. In the future, such dialogue systems are expected to support our daily activities in various ways. However, dialogue in daily activities is more complex than that with smart speakers; even with current spoken dialogue technology, it is still difficult to maintain a successful dialogue in various situations. For example, in customer service through dialogue, it is necessary for operators to respond appropriately to the different ways of speaking and requests of various customers. In such cases, we humans can switch the speaking manner depending on the type of customer, and we can successfully perform the dialogue by not only using our voice but also our gaze and facial expressions. This type of human-like interaction is far from possible with the existing spoken dialogue systems. Humanoid robots have the possibility to realize such an interaction, because they can recognize not only the user's voice but also facial expressions and gestures using various sensors, and can express themselves in various ways such as gestures and facial expressions using their bodies. Their many means of expressions have the potential to successfully continue dialogue in a manner different from conventional dialogue systems. The combination of such robots and dialogue systems can greatly expand the possibilities of dialogue systems, while at the same time, providing a variety of new challenges. Various research and development efforts are currently underway to address these new challenges, including "dialogue robot competition" at IROS2022. In this special issue, we invite a wide range of papers on multimodal dialogue systems and dialogue robots, their applications, and fundamental research. Prospective contributed papers are invited to cover, but are not limited to, the following topics on multimodal dialogue systems and robots: *Spoken dialogue processing *Multimodal processing *Speech recognition *Text-to-speech *Emotion recognition *Motion generation *Facial expression generation *System architecture *Natural language processing *Knowledge representation *Benchmarking *Evaluation method *Ethics *Dialogue systems and robots for competition Submission: The full-length manuscript (either PDF file or MS word file) should be sent by 31st Jan 2023 to the office of Advanced Robotics, the Robotics Society of Japan through the on-line submission system of the journal (https://www.rsj.or.jp/AR/submission). Sample manuscript templates and detailed instructions for authors are available at the website of the journal. Note that word count includes references. Captions and author bios are not included. For special issues, longer papers can be accepted if the editors approve. Please contact the editors before the submission if your manuscript exceeds the word limit.

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Call for Participation - 12th Global Wordnet Conference (GWC2023)
by Begoña Altuna 29 Dec '22

29 Dec '22

*Call for Participation - 12th Global Wordnet Conference (GWC2023)* Dear CorporaList members, The Global Wordnet Association is pleased to announce the 12th International Global Wordnet Conference (GWC2023) in Donostia / San Sebastian (Spain). The conference is hosted by HiTZ, Basque Center for Language Technology at the University of the Basque Country, and will take place from January 23 to 27, 2023. The programme is accessible at https://www.hitz.eus/gwc2023/programme Registration for the conference is available at https://www.hitz.eus/gwc2023/registration_form You can consult additional information at https://www.hitz.eus/gwc2023/ Looking forward to welcoming you in Donostia-San Sebastian! GWC2023 organising committee

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New Arabic library
by Hesham Haroon 29 Dec '22

29 Dec '22

Hello everyone I'm happy to introduce this new library The Sarsor is a Python library that allows users to perform various natural language processing tasks in Arabic, such as translation, text classification, question answering, summarization, text generation, and more. It uses the transformers library to access pre-trained language models and the pyarabic library to process Arabic text. Please test it at https://github.com/h9-tect/arabic-lib-transformers If you have any questions or comments please let me know

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RANLP 2023: 1st CFP
by Petya Osenova 28 Dec '22

28 Dec '22

RANLP 2023 Summer school ‘Deep Learning in NLP’: 30 August – 1 September 2023 (Wednesday-Friday) Tutorials: 2-3 September 2023 (Saturday-Sunday) Main Conference and Student Research Workshop: 4-6 September 2023 (Monday-Wednesday) Workshops: 7-8 September 2023 (Thursday-Friday) We are pleased to announce that the 14th biennial RANLP conference will take place in September 2023 at the Black Sea city of Varna. In addition to the conference programme of competitively peer-reviewed papers reporting on the recent advances of a wide range of NLP topics, the RANLP conference features inspirational keynote speakers. Poster and demo sessions will be held at the conference exhibition area. The conference will be preceded by three days of summer school on Deep Learning in NLP (30 August - 1 September 2023) and two days of tutorials (2-3 September 2023). Post-conference workshops will be held on 7-8 September 2023. A Student Research Workshop will run in parallel to the main conference. The Student Research Workshop (now in its 8th edition) is a vibrant discussion forum for young researchers. The papers accepted at RANLP and the associated workshops are included in the ACL Anthology. All accepted papers have DOI numbers. The RANLP proceedings are indexed by SCOPUS and DBLP. TOPICS We invite papers reporting recent advances in all aspects of Natural Language Processing (NLP). We encourage contributions from a broad range of areas including, but not limited to, the following topics: phonetics, phonology, morphology; syntax, semantics, discourse, pragmatics, dialogue, lexicon; complexity; mathematical, statistical, machine learning and deep learning models; language resources and corpora; crowdsourcing for creation of linguistic resources; electronic dictionaries, terminologies and ontologies; sublanguages and controlled languages; linked data; POS tagging; parsing; semantic role labelling; word-sense disambiguation; multiword expressions and computational phraseology; textual entailment; anaphora resolution; temporal processing; language generation; speech recognition; text-to-speech synthesis; multilingual NLP; machine translation, translation memory systems and computer-aided translation tools, text simplification and readability estimation; knowledge acquisition; information retrieval; text categorisation; information extraction; text summarisation; terminology extraction; question answering; opinion mining and sentiment analysis; fact checking and fake news; stance recognition; hate speech and aggression detection; author profiling; dialogue systems; chatbots and conversational agents; irony and sarcasm detection; negation and speculation detection; computer-aided language learning; multimodal systems; language and vision; NLP for biomedical texts; NLP for educational applications; NLP for healthcare; NLP for financial purposes; NLP for legal texts; for the Semantic web; theoretical and application-orientated papers related to NLP. CHAIR OF THE PROGRAMME COMMITTEE Ruslan Mitkov (University of Wolverhampton) CHAIR OF THE ORGANISING COMMITTEE Galia Angelova (Bulgarian Academy of Sciences) The Programme Committee members are distinguished NLP experts from all over the world. The list of PC members will be announced at the conference website in due time. INVITED SPEAKERS: The list of keynote speakers at RANLP 2023, tutorial lecturers and summer school tutors includes: KEYNOTE SPEAKERS: * Isabelle Augenstein (Copenhagen University, Denmark) * Kyunghyun Cho (New York University, USA) * Sandra Kübler (Indiana University Bloomington, USA) * Eduard Hovy (Carnegie Mellon University, USA) * Efstathios Stamatos (University of the Aegean, Greece) TUTORIAL LECTURERS: * Burcu Can (University of Wolverhampton, UK) * Tomáš Mikolov (Czech Technical University in Prague, Czech Republic) * Tharindu Ranasinghe (University of Wolverhampton, UK) * Sanja Stajner (Karlsruhe, Germany) SUMMER SCHOOL LECTURERS: * Isabelle Augenstein (Copenhagen University, Denmark) * Burcu Can (University of Wolverhampton, UK) * Kyunghyun Cho (New York University, USA) * Tharindu Ranasinghe (University of Wolverhampton, UK) * Damith Premasiri (practical sessions) (University of Wolverhampton, UK) * Kanishka Silva (practical sessions) (University of Wolverhampton, UK) WORKSHOPS: Several workshops will be organised on 7-8 September 2023. A Call for Workshop Proposals was published in December 2022. SUBMISSION OF PAPERS, POSTERS, DEMOS The submissions will be maintained by the conference management software START. For further instructions, please follow the submission information at the conference website at https://ranlp.org/ranlp2023/. The reviewing process will be anonymous. Double submission is acceptable, but authors will be asked to declare it at the time of submission. Submissions will be reviewed by at least three members of the Programme Committee. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. The full conference proceedings will be uploaded on the ACL Anthology. RANLP-2023 aims to provide early notification of acceptance to authors and presenters who need visa to enter Bulgaria. We invite early submissions of authors’ names and paper abstracts, in order to plan quick reviewing. Access to the conference management software will be available on 1 April 2023. IMPORTANT DATES Call for workshop proposals: 5 December 2022 Deadline for workshop proposals: 31 January 2023 Workshops selection: 15 February 2023 Workshop website due: 15 March 2023 Conference abstracts submission: 1 April - 6 May 2023 Conference papers submission: 6 May 2023 Conference papers acceptance notification: 26 June 2023 Camera-ready versions of the conference papers: 31 July 2023 Workshop paper submission deadline (suggested): 10 July 2023 Workshop paper acceptance notification (suggested): 5 August 2023 Workshop paper camera-ready versions (suggested): 25 August 2023 Workshop camera-ready proceedings ready (suggested): 31 August 2023 RANLP Summer School on Deep Learning in NLP: 30 August - 1 September 2023 RANLP tutorials: 2-3 September 2023 (Saturday-Sunday) RANLP conference: 4-6 September 2023 (Monday-Wednesday) RANLP workshops: 7-8 September 2023 (Thursday-Friday) LOCATION and TRAVEL RANLP 2023 will be held in Varna, the largest city on the Bulgarian Black Sea Coast, in Hotel “Cherno More” (http://www.chernomorebg.com/home). The event venue is centrally located at the entrance of the Sea Garden and offers excellent conference facilities. The city is a major tourist destination with flights to/from the Varna International Airport. It is also known for its Archaeological Museum, which features the oldest gold treasure in the world (https://en.wikipedia.org/wiki/Varna_Necropolis). THE TEAM BEHIND RANLP-2023 Galia Angelova, Bulgarian Academy of Sciences, Bulgaria (OC Chair) Ruslan Mitkov, University of Wolverhampton, UK (PC Chair) Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, UAE Nikolai Nikolov, INCOMA Ltd., Shoumen, Bulgaria Ivelina Nikolova-Koleva, Bulgarian Academy of Sciences, Bulgaria Petya Osenova, Bulgarian Academy of Sciences, Bulgaria Rocío Caro Quintana, University of Wolverhampton, UK Kiril Simov, Bulgarian Academy of Sciences, Bulgaria (Workshop coordinator)

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[FPI on NLP] PhD position on knowledge discovery from text and semantic-based computational models, at the University of Alicante (SPAIN)
by Yoan 27 Dec '22

27 Dec '22

Dear researcher, in case you: - are interested in a *fully-funded PhD position* to research on *knowledge discovery* from text and *semantic-based computational models*; - have a *Master degree* in Computer Science, Mathematics or related disciplines; - are an *enthusiastic person* who loves to face the frontiers of knowledge; - are willing to *join *a strong and multidisciplinary *NLP research group*; - like the* fantastic **ecosystem* of Alicante (i.e. sun, sea, mountain, delicious food, sport variety), networking, and social events; *this PhD. position is your you!!!* We are inviting applications for one fully funded PhD position in the Department of Software and Computing systems <https://www.dlsi.ua.es/index.cgi?id=eng>, University of Alicante (Spain). The request can be made from * January 12, 2023*, with a starting date of as early as possible in 2023. More details below and on this link: https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *About the Project:* [TRIVIAL] Technological resources for intelligent viral analysis through NLP <https://trivial.gplsi.es/en> *Objectives*: - Automated resource generation leveraging collective intelligence. - Studying and modelling the variety of digital contents based on semantic characteristics represented by digital entities. - Analysis of the influence and impact of digital content in different scenarios. - Generation of knowledge from the different digital models obtained. - Application and evaluation of the acquired knowledge to real use cases in society. *Candidate requirements: *Applicants will need to meet general entry requirements, and will have a Master degree in Computer Science, Mathematics or related disciplines. Experience on semantic analysis of language, statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable. *How to apply: *Applications for the PhD studentship must be made directly to the Researching State Agency <https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat…> using the *Online Application Form <https://aplicaciones.ciencia.gob.es/ayudaspredoctorales/>*. *Make sure you name project code **PID2021-122263OB-C22* (the list of receiver projects are here <https://www.aei.gob.es/sites/default/files/convocatory_info/2022-12/Listado…>) as receiver. Information on what documents are required and a link to the application form can be found here - https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *Funding Notes:* This position is funded by the State Plan for Scientific and Technical Research and Innovation 2021-2023. *Spanish and International students are eligible to apply!* We look forward to meeting you ;). *For any doubt or help do not hesitate to contact us!* Best regards, -- Yoan Gutiérrez Vázquez PhD. Full-time Lecturer Department of Software and Computing systems, University of Alicante Bio: http://ygutierrez.gplsi.es/ ................. > >

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Researcher in computer science -- job post
by Rui Manuel Sousa Silva 26 Dec '22

26 Dec '22

Dear all, This is just a reminder that the application deadline for Assistant Researcher at the Centre of Linguistics of the Uniersity of Porto ends tomorrow. For fiurther details, visit https://sigarra.up.pt/flup/en/NOTICIAS_GERAL.VER_NOTICIA?p_nr=151005 All best Rui Sousa Silva Professor Auxiliar | Assistant Professor PhD Coordenador Científico do CLUP-Centro de Linguística da Universidade do Porto | Scientific Coordinator of the Centre for Linguistics of the University of Porto Faculdade de Letras da Universidade do Porto | Faculty of Arts and Humanities of the University of Porto Via Panorâmica, s/n P-4150-564 Porto Portugal w: www.linguisticaforense.pt | Faculdade de Letras da Universidade do Porto - http://www.letras.up.pt Twitter: https://twitter.com/rsousasilva | Linkedin: https://www.linkedin.com/in/rui-sousa-silva-83a38731/ | ResearchGate: https://www.researchgate.net/profile/Rui_Sousa-Silva | ORCiD: https://orcid.org/0000-0002-5249-0617 | Language and Law/Linguagem e Direito: http://ojs.letras.up.pt/index.php/LLLD/index Publicações mais recentes / Latest publications: Fighting the Fake: A Forensic Linguistic Analysis for Fake News Detection The Dawn of the Human-Machine Era | The Routledge Handbook of Forensic Linguistics

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First CFP: 19th Workshop on Multiword Expressions (MWE 2023)
by Archna Bhatia 24 Dec '22

24 Dec '22

[Apologies for cross-postings] ******************************************************************************** First Call for Papers 19th Workshop on Multiword Expressions (MWE 2023) Organized and sponsored by SIGLEX, the Special Interest Group on the Lexicon of the ACL Full-day workshop collocated with EACL 2023, Dubrovnik, Croatia, May 2 or 6, 2023 Hybrid (on-site & on-line) Submission deadline: February 13, 2023 MWE 2023 website: <https://multiword.org/mwe2022/> https://multiword.org/mwe2023/ ******************************************************************************** Multiword expressions (MWEs) are word combinations that exhibit lexical, syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin & Kim 2010), such as by and large, hot dog, pay a visit and pull one's leg. The notion encompasses closely related phenomena: idioms, compounds, light-verb constructions, phrasal verbs, rhetorical figures, collocations, institutionalized phrases, etc. Their behavior is often unpredictable; for example, their meaning often does not result from the direct combination of the meanings of their parts. Given their irregular nature, MWEs often pose complex problems in linguistic modeling (e.g. annotation), NLP tasks (e.g. parsing), and end-user applications (e.g. natural language understanding and MT), hence still representing an open issue for computational linguistics (Constant et al. 2017). For almost two decades, modeling and processing MWEs for NLP has been the topic of the MWE workshop organized by the MWE section<https://multiword.org/> of SIGLEX<http://www.siglex.org/> in conjunction with major NLP conferences since 2003. Impressive progress has been made in the field, but our understanding of MWEs still requires much research considering their need and usefulness in NLP applications. This is also relevant to domain-specific NLP pipelines that need to tackle terminologies most often realized as MWEs. Following previous years, for this 19th edition of the workshop, we identified the following topics on which contributions are particularly encouraged: * MWE processing and identification in specialized languages and domains: Multiword terminology extraction from domain-specific corpora (Bonin et al. 2010) is of particular importance to various applications, such as MT (Semmar & Laib, 2017), or for the identification and monitoring of neologisms and technical jargon (Chatzitheodorou et al, 2021). We expect approaches that deal with the processing of MWEs as well as the processing of terminology in specialised domains can benefit from each other. * MWE processing to enhance end-user applications: MWEs have gained particular attention in end-user applications, including MT (Zaninello & Birch 2020; Han et al. 2021), simplification (Kochmar et al. 2020), language learning and assessment (Paquot et al. 2019; Christiansen & Arnon 2017), social media mining (Maisto et al. 2017), and abusive language detection (Zampieri et al. 2020; Caselli et al. 2020). We believe that it is crucial to extend and deepen these first attempts to integrate and evaluate MWE technology in these and further end-user applications. * MWE identification and interpretation in pre-trained language models: Most current MWE processing is limited to their identification and detection using pre-trained language models, but we still lack understanding about how MWEs are represented and dealt with therein (Nedumpozhimana & Kelleher 2021; Garcia et al. 2021, Fakharian & Cook 2021), how to better model the compositionality of MWEs from semantics (Moreau et al. 2018). Now that NLP has shifted towards end-to-end neural models like BERT, capable of solving complex tasks with little or no intermediary linguistic symbols, questions arise about the extent to which MWEs should be implicitly or explicitly modelled (Shwartz & Dagan, 2019). * MWE processing in low-resource languages: The PARSEME shared tasks (Ramisch et al. 2020; 2018; Savary et al. 2017), among others, have fostered significant progress in MWE identification, providing datasets that include low-resource languages, evaluation measures, and tools that now allow fully integrating MWE identification into end-user applications. A few efforts have recently explored methods for the automatic interpretation of MWEs (Bhatia, et al. 2018; 2017), and their processing in low-resource languages (Liu & Wang 2020; Kumar et al. 2017). Resource creation and sharing should be pursued in parallel with the development of methods able to capitalize on small datasets (Han et al. 2020). Through this workshop, we would like to bring together and encourage researchers in various NLP subfields to submit MWE-related research, so that approaches that deal with processing of MWEs including processing for low-resource languages and for various applications can benefit from each other. We also intend to consolidate the converging effects of previous joint workshops LAW-MWE-CxG 2018<http://multiword.sourceforge.net/lawmwecxg2018/>, MWE-WN 2019<http://multiword.sourceforge.net/mwewn2019/> and MWE-LEX 2020<http://multiword.sourceforge.net/mwelex2020/>, the joint MWE-WOAH panel in 2021<https://multiword.org/mwe2021/#program>, and the MWE-SIGUL 2022 joint session<https://multiword.org/mwe2022/>, extending our scope to MWEs in e-lexicons and WordNets, MWE annotation, as well as grammatical constructions. Correspondingly, we call for papers on research related (but not limited) to MWEs and constructions in: * Computationally-applicable theoretical work in psycholinguistics and corpus linguistics; * Annotation (expert, crowdsourcing, automatic) and representation in resources such as corpora, treebanks, e-lexicons, and WordNets (also for low-resource languages); * Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.); * Discovery and identification methods, including for specialized languages and domains such as clinical or biomedical NLP; * Interpretation of MWEs and understanding of text containing them; * Language acquisition, language learning, and non-standard language (e.g. tweets, speech); * Evaluation of annotation and processing techniques; * Retrospective comparative analyses from the PARSEME shared tasks; * Processing for end-user applications (e.g. MT, NLU, summarization, language learning, etc.); * Implicit and explicit representation in pre-trained language models and end-user applications; * Evaluation and probing of pre-trained language models; * Resources and tools (e.g. lexicons, identifiers) and their integration into end-user applications; * Multiword terminology extraction; * Adaptation and transfer of annotations and related resources to new languages and domains including low-resource ones. Shared Task We do not have a shared task this year, but a new release of the PARSEME corpus of verbal MWEs is currently underway. We encourage submission of research papers that include analyses of the new edition of the PARSEME data and improvements over the results for PARSEME 2020 shared task as well as SemEval 2022 task 2 on idiomaticity prediction. Submission formats: The workshop invites two types of submissions: * archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references). * non-archival submissions of abstracts describing relevant research presented/published elsewhere which will not be included in the MWE proceedings. Paper submission and templates Papers should be submitted via the workshop's START submission page (TBD). Please choose the appropriate submission format (archival/non-archival). Archival papers with existing reviews will also be accepted through the ACL Rolling Review. Submissions must follow the ACL 2023 stylesheet<https://2023.aclweb.org/calls/style_and_formatting/>. Important Dates Paper Submission Deadline: February 13, 2023 Notification of acceptance: March 13, 2023 Camera-ready papers due: March 27, 2023 Workshop: May 2 or 6, 2023 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). Organizing Committee Program chairs: Marcos Garcia, Voula Giouli, Lifeng Han, Shiva Taslimipoor Publication chair: Archna Bhatia Publicity chair: Kilian Evang Anti-harassment policy The workshop follows the ACL anti-harassment policy<https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy>. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at mweworkshop2023(a)googlegroups.com<mailto:mweworkshop2023@googlegroups.com>. -- Archna Bhatia, Ph.D. Research Scientist, Institute for Human & Machine Cognition 15 SE Osceola Ave, Ocala, FL 34471 (352) 387-3061

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Call for Course Proposals: ESSAI - European Summer School in Artificial Intelligence
by Roberto Navigli 23 Dec '22

23 Dec '22

*ESSAI - European Summer School in Artificial Intelligence*24-28 July 2023 Ljubljana, Slovenia **CALL FOR COURSE PROPOSALS** The 1st European Summer School in Artificial Intelligence - ESSAI 2023, 24-28 July, 2023, at the University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Slovenia https://essai.ijs.si/ *IMPORTANT DATES:* 24 Jan 2023: Course Title submission deadline (mandatory) 31 Jan 2023: Final submission 28 Feb 2023: Notification The European Summer School in Artificial Intelligence (ESSAI) is a new annual summer school held under the auspices of the European Association for Artificial Intelligence (EurAI). The ambition of ESSAI is to become the central meeting place for students and young researchers in Artificial Intelligence to discuss current research and share knowledge. ESSAI will provide an interdisciplinary setting in which courses are offered in all areas of Artificial Intelligence and also from wider scientific, historical, and philosophical perspectives. The format of ESSAI is analogous to the European Summer School in Logic, Language and Information (ESSLLI) which has been running since 1989. Courses will consist of five 90 minute sessions, offered daily (Monday-Friday) in a single week, to allow students to develop in-depth knowledge of a topic. The first ESSAI will be held in Ljubljana, Slovenia in between the 24th and 28th of July 2023. ESSAI 2023 aims to attract around 400 participants from all parts of Europe, as well as from North and Latin America, and Asia. *TOPICS AND FORMAT* ESSAI aims to cover all subdisciplines of AI and the interactions between them. Proposals for courses at ESSAI 2023 are invited in all areas of Artificial Intelligence, including but not limited to the following: * Agent-based and Multi-agent Systems (MAS) * Ethics, Legal Issues, Explainable and Trustworthy AI (XAI) * Knowledge Representation and Reasoning (KR) * Natural Language Processing (NLP) * Neuro-Symbolic Learning and Reasoning (NeSy) * Planning & Strategic Reasoning (PLAN) * Reinforcement Learning (RL) * Robotics (ROB) * Search & Optimization (SO) * Supervised and Unsupervised Learning (ML) * Vision (VIS) Each course will consist of five 90 minute lectures, offered daily (Monday-Friday) in a single week. While foundational courses will typically focus on one subarea of AI, introductory and advanced courses are encouraged to present a broader perspective on AI, and should be of interest beyond one specific area. *CATEGORIES* Each proposal should fall under one of the following categories. * FOUNDATIONAL COURSES * Foundational courses present the basics of a research area to students with no prior knowledge in that area. They should be at an elementary level, without prerequisites in the course's topic, though possibly assuming a level of general scientific maturity in the relevant discipline. They should enable researchers from related disciplines to become comfortable with the fundamental concepts and techniques of the course topic, thereby contributing to the interdisciplinary nature of our research community. * INTRODUCTORY COURSES * Introductory courses are central to ESSAI's mission. They are intended to introduce a research field to students, young researchers, and other non-specialists, and to foster a sound understanding of its basic methods and techniques. Introductory courses should enable researchers from related disciplines to become competent in the course topic. Introductory courses that are cross-disciplinary may presuppose general knowledge of the relevant disciplines. * ADVANCED COURSES * Advanced courses are targeted primarily at graduate students who wish to acquire an understanding of current research in a field of Artificial Intelligence. *PROPOSAL GUIDELINES* To be considered, course proposals should closely adhere to the following guidelines: Course proposals can be submitted by no more than two lecturers, and courses must be presented by lecturers who submitted the proposal. All lecturers must possess a PhD or equivalent degree by the submission deadline for course proposals. Course proposals should explicitly state the intended course category. Proposals for introductory courses should indicate the intended level, for example, as it relates to standard textbooks and monographs in the area. Proposals for advanced courses should specify the prerequisites in detail. Proposals must be submitted in PDF format via: https://easychair.org/conferences/?conf=essai2023 and include all of the following: a. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional) b. General proposal information: Title, category c. Information about the course content: Abstract of up to 150 words Motivation and description (up to two pages) Tentative outline Expected level and prerequisites Appropriate references (e.g. textbooks, monographs, proceedings, surveys) d. Information about the proposer(s) and course: Whether the course will appeal to students outside of the main discipline of the course Proposer(s)’s experience of delivering courses in an intensive one-week interdisciplinary setting Evidence that the proposer(s) is an excellent lecturer To keep participation fees to a minimum, all the instructional and organizational work of ESSAI is performed on a completely voluntary basis. However, the registration fees of organizers and instructors will be waived, and travel and accommodation expenses will be reimbursed up to a level which will be communicated along with the proposal notification. ESSAI can only guarantee reimbursement for at most one course lecturer, and can not guarantee full reimbursement of travel costs for lecturers from outside of Europe. The organizers of ESSAI would appreciate any help in reducing the School's expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources. *SUBMISSION INFORMATION* By Jan 24, 2023: Proposers must submit on EasyChair at least the name(s) of the lecturers(s), the ESSAI area+course level and a short abstract. By Jan 31, 2023: Submission must be completed by uploading a PDF with the actual proposal as detailed above. *SUBMISSION PORTAL* Please submit your proposals to https://easychair.org/conferences/?conf=essai2023 *ORGANIZING COMMITTEE* Aleksander Sadikov (University of Ljubljana) Vida Groznik (University of Primorska, University of Ljubljana) Sašo Džeroski (Jožef Stefan Institute) Jure Žabkar (University of Ljubljana) *PROGRAM COMMITTEE* Magdalena Ortiz (Umeå University), chair Brian Logan (Utrecht University), associate co-chair Sašo Džeroski (Jozef Stefan Institute Ljubljana), associate co-chair, ACAI chair Natasha Alechina, Utrecht University Kristian Kersting, TU Darmstadt Ioannis Kompatsiaris, CERTH-ITI Roberto Navigli, Sapienza University of Rome Ann Nowé, Vrije Universiteit Brussel Alessandro Saffiotti, University of Örebro Sungho Suh, DFKI *STANDING COMMITTEE * Giuseppe De Giacomo (Sapienza University of Rome), Head and EurAI Board Representative -- ============================================== 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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2025

2024

2023

2022

Corpora