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Free online workshops on Language techology tools at ELG platform: Microservices.
by Tiina Lindh-Knuutila 17 Jan '23

17 Jan '23

Dear colleagues, [please pass along this email to any interested parties] We are pleased to invite you to the final online workshops <https://www.lingsoft.fi/en/microservices-your-service-workshops> of our European project "Microservices at Your Service: Bridging the Gap Between NLP Research and Industry” <https://www.lingsoft.fi/en/microservices-at-your-service-bridging-gap-betwe…>, co-financed by Connecting Europe Facility. <https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2020-eu…> Our project addresses the objective of the "Collaborative Language Tools Projects" call, which makes the natural language processing (NLP) tools accessible for a wider audience through the ELG <https://www.european-language-grid.eu/> (European Language Grid) repository. Specifically, we have made available speech and language technology tools created for Icelandic, Faroese, Norwegian, Finnish, Estonian, Latvian, Lithuanian, Northern Sami, Swedish, Spanish, Portuguese, Galician, Basque, Catalan and Valencian languages. As the main result of the project, we would like to share knowledge about these tools with you, researchers and software/service developers, so that you can benefit from them in your research and service development. In parallel, we can enhance the visibility of the research institutions that developed them. With this objective in mind, we would like to invite you to participate in free online workshops: - Microservices general workshop will give a general overview of the project, present the European Language Grid platform and some selected tools. - on January 20 at 10:00 am CET (11:00 AM EET) - Registration at https://forms.gle/6HzBLhU8NAcguTA67 - Four local workshops – which will introduce our project and the European Language Grid Platform, show demos and demonstrate use cases for these tools, concentrating on tools for that area. - Estonia, January 27, 10 EET (In Estonian) - Finland, January 24, 13 EET - Iberia, January 25, 10 CET - Iceland, February 1, 9 GMT - The registration links for the local workshops can be found on our workshop website https://www.lingsoft.fi/en/microservices-your-service-workshops A link to the workshops will be sent to the registered participants by email before the selected date. If you are unable to attend, the video recording of the workshop will be available after the workshop. The project has already hosted two workshops geared towards researchers and providers of NLP tools. The first one, the Docker and API workshop, was a hands-on workshop on how researchers can easily share their tools by means of Docker and an API. The second one, ELG, a Bridge for NLP Development, introduced the ELG platform in more detail including guidelines on how developers can get their tools there. You can find recordings of these workshops at our workshop website. Thank you very much for your time, we look forward to hearing from you. Sincerely, Tiina Lindh-Knuutila, project manager -- Lingsoft® Tiina Lindh-Knuutila (D.Sc. Tech) | Solution Architect +358 50 344 9153 | tiina.lindh-knuutila(a)lingsoft.fi Lingsoft Language Services Oy | www.lingsoft.fi Kauppiaskatu 5, FI-20100 Turku | Eteläranta 10, FI-00130 Helsinki | Mäster Samuelsgatan 36, SE-11157, Stockholm Lingsoft Language Management - Translation - Localisation - Subtitling - Transcription - Speech Solutions - Reader's and Writer's Tools - Language Analysis - E-books

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Final Call for papers and Deadline Extension: Explainable AI in Natural Language Processing
by Somnath Banerjee 17 Jan '23

17 Jan '23

Dear Colleagues, Due to many requests and expressed interest, the submission deadline has been extended. The new deadline for abstract submission is now 14 February 2023. *** Apologies for cross-posting *** Call for papers: Explainable AI in Natural Language Processing Traditional Natural Language Processing (NLP) models (e.g., decision trees, Markov models, etc.) have primarily been based on techniques that are inherently interpretable models, referred to as white-box techniques. However, in recent years, NLP models have employed advanced neural approaches along with language embedding features. Using these advanced approaches, mostly referred to as black-box techniques, the NLP models have yielded state-of-art performance. Nonetheless, the level of interpretability (e.g., how the model arrives at its results) has reduced significantly. This obfuscated interpretability not only lowers the end users’ trust in the NLP models but also makes it challenging for the developers to debug or improve by analyzing the models for further improvement. Therefore, nowadays, researchers in the NLP community are giving significant attention to the emerging field called Explainable AI (XAI) to tackle the obfuscated complexity of AI systems for trust and improvement. Apart from academia, organizations and companies also have launched high-funding projects such as DARPA XAI, People +AI Research (PAIR), etc. As XAI is still a growing field, there is plenty of room for innovation to improve the explainability of NLP systems. In recent works, explainable NLP models have captured linguistic knowledge of neural networks, explain predictions, stress-test models via challenge sets or adversarial examples, and interpret language embeddings. The goal of this Research Topic is to better understand the present status of the XAI in NLP by identifying: new dimensions for a better explanation, evaluation techniques used to measure the quality of explanations, approaches or developments of new software toolkits to explain XAI in NLP, and transparent deep learning models for different NLP task. The scope of this Research Topic covers (but is not restricted to) the following topics: • Survey of XAI in NLP in general or any particular NLP task such as NER, QA, Sentiment analysis, social media (SocialNLP), etc. • Explainable Neural models in Machine Translation • Explainable Neural models in Named Entity Recognition • Explainable Neural models in Question Answering • Explainable Neural models in Sentiment Analysis • Explainable Neural models in Opinion Mining • Explainable Neural models in SocialNLP • Evaluation techniques used to measure the quality of explanations • Tools for explaining explainability • Resources related to XAI in the context of NLP The Research Topic welcomes contributions toward interpretable models for efficient solutions to NLP research problems that explain the explainability of the proposed model using suitable explainability technique(s) (e.g., example-driven, provenance, feature importance, induction, surrogate models, etc.), visualization technique(s) (e.g., raw examples, saliency, raw declarative, etc.), and other aspects. Software toolkits or approaches that can help users express explainability to their models and ML pipelines are also welcome. The full Call for Papers is available at https://www.frontiersin.org/research-topics/48440/explainable-ai-in-natural… Impact of the publication: https://www.frontiersin.org/about/impact The current deadlines are: * Abstract Deadline:14 February 2023 * Manuscript Deadline: 14 April 2023, This is a mandatory deadline for your full manuscript submission. However, we can accommodate personal extensions on a case-by-case basis. Guest Editors: Somnath Banerjee (University of Tartu, somnath.banerjee(a)ut.ee) David Tomás (University of Alicante, dtomas(a)dlsi.ua.es) Somnath Banerjee Lecturer, Institute of Computer Science, University of Tartu, Narva mnt 18, room 3063 51009 Tartu, ESTONIA webpage: http://www.ut.ee//~somnath/

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[SEBD 2023] Doctoral Consortium - Call for Papers
by Stefano Marchesin 17 Jan '23

17 Jan '23

[APOLOGIES FOR MULTIPLE POSTINGS] SEBD 2023 Doctoral Consortium - Call for Papers ================================================= Important dates Doctoral Consortium Submission Deadline: Friday, March 31, 2023 (AoE) Papers Notification: Wednesday, April 26, 2023 (AoE) Camera-Ready Submission Deadline: Thursday, June 01, 2023 (AoE) Doctoral Consortium Day: Sunday, July 02, 2023 Submission Link: https://cmt3.research.microsoft.com/SEBD2023/ ================================================= The SEBD 2023 Doctoral Consortium will take place in a dedicated session during the 31st Italian Symposium on Advanced Database Systems (SEBD 2023), Galzignano Terme, Padova (Italy), July 02-05, 2023, http://sebd2023.dei.unipd.it/. The goal is to provide a forum for PhD candidates to present their ongoing research and receive feedback from renowned and experienced members of the research community. The Consortium fosters a collaborative environment, encouraging constructive discussions and sharing of ideas. It will be an excellent opportunity for developing person-to-person networks to the benefit of the PhD students in their future careers – as well as of the community. Submissions from students who are in the early stages of their research should provide a clear description of the problem to be addressed and the planned methodology. Submissions from students who are in the middle or final stages of their PhD research should clearly indicate the contributions made to date and future work directions. Each doctoral symposium paper must be single-authored by a current PhD student or a PhD student who submitted the thesis between September and December 2022. The paper should be written in English and must be 6-7 pages long, including selected references. Submissions must be formatted in PDF, prepared in CEUR-ART Column 1 Style (http://ceur-ws.org/Vol-XXX/CEURART.zip), and submitted electronically via the submission system: https://cmt3.research.microsoft.com/SEBD2023/ Submissions will be reviewed by the Doctoral Consortium Program Committee (appointed by the Doctoral Consortium Chairs). All papers will be reviewed with respect to the overall presentation quality, the potential for the future impact of the research on the field, and the expected benefit to the other doctoral students attending the conference. The accepted papers will be published as part of the SEBD 2023 proceedings on WS-CEUR.org and indexed in Scopus, DBLP and Google Scholar. ================================================= Topics The SEBD Symposium and its Doctoral Consortium cover a broad range of topics, including traditional database management, as well as new challenges for data management in any possible domain. Suggested topics include (but are not limited to) the following ones: - Big Data and Smart Computing; - Data integration, Heterogeneous and Federated DBMS; - Data mining, knowledge discovery, information extraction, and machine learning; - Data visualization; - Data warehousing; - Distributed and parallel databases; - Grid, peer-to-peer databases, and Cloud Computing; - Incompleteness, inconsistency, and other aspects of data quality; - Uncertainty in databases; - Ethical problems posed by Big Data Analysis; - Keyword-based and natural language access to structured, semistructured, and unstructured data; - Knowledge representation and reasoning; - Ontology-based data management; - Privacy, security and trust management; - Query processing and optimization, approximate query answering; - Real-time, embedded, sensor, and mobile databases; - Scientific and Statistical Databases; - Semantic Web and Open Linked data; - Social networks and Graph databases; - Transaction and workflow management, interoperability and Web services. ================================================= Contact For any questions regarding Doctoral Consortium submissions, please email the Doctoral Consortium Chairs: - Letizia Tanca (letizia.tanca(a)polimi.it) - Stefano Marchesin (stefano.marchesin(a)unipd.it) -- Stefano Marchesin, PhD Postdoctoral Researcher Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

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Call-for-papers: 2nd ACM Int. Workshop on Multimedia AI against Disinformation @ ACM ICMR 2023
by Bogdan Ionescu 16 Jan '23

16 Jan '23

[Apologies for multiple postings] 2nd ACM International Workshop on Multimedia AI against Disinformation MAD'23 ACM International Conference on Multimedia Retrieval ICMR'23 Thessaloniki, Greece, June 12-15, 2023 https://mad2023.idmt.fraunhofer.de/ https://easychair.org/my/conference?conf=icmr20230 *** Call for papers *** * Paper submission due: February 28, 2023 * Acceptance notification: March 31, 2023 * Camera-ready papers due: April 20, 2023 * Workshop @ACM ICMR 2023: June 12, 2023 (TBD) Modern communication does not rely anymore solely on classic media like newspapers or television, but rather takes place over social networks, in real-time, and with live interactions among users. The speedup in the amount of information available, however, also led to an increased amount and quality of misleading content, disinformation and propaganda Conversely, the fight against disinformation, in which news agencies and NGOs (among others) take part on a daily basis to avoid the risk of citizens' opinions being distorted, became even more crucial and demanding, especially for what concerns sensitive topics such as politics, health and religion. Disinformation campaigns are leveraging, among others, market-ready AI-based tools for content creation and modification: hyper-realistic visual, speech, textual and video content have emerged under the collective name of “deepfakes”, undermining the perceived credibility of media content. It is, therefore, even more crucial to counter these advances by devising new analysis tools able to detect the presence of synthetic and manipulated content, accessible to journalists and fact-checkers, robust and trustworthy, and possibly based on AI to reach greater performance. Future multimedia disinformation detection research relies on the combination of different modalities and on the adoption of the latest advances of deep learning approaches and architectures. These raise new challenges and questions that need to be addressed in order to reduce the effects of disinformation campaigns. The workshop, in its second edition, welcomes contributions related to different aspects of AI-powered disinformation detection, analysis and mitigation. Topics of interest include but are not limited to: - Disinformation detection in multimedia content (e.g., video, audio, texts, images) - Multimodal verification methods - Synthetic and manipulated media detection - Multimedia forensics - Disinformation spread and effects in social media - Analysis of disinformation campaigns in societally-sensitive domains - Robustness of media verification against adversarial attacks and real-world complexities - Fairness and non-discrimination of disinformation detection in multimedia content - Explaining disinformation /disinformation detection technologies for non-expert users - Temporal and cultural aspects of disinformation - Dataset sharing and governance in AI for disinformation - Datasets for disinformation detection and multimedia verification - Open resources, e.g., datasets, software tools - Multimedia verification systems and applications - System fusion, ensembling and late fusion techniques - Benchmarking and evaluation frameworks *** Submission guidelines *** When preparing your submission, please adhere strictly to the ACM ICMR 2023 instructions, to ensure the appropriateness of the reviewing process and inclusion in the ACM Digital Library proceedings. The instructions are available here https://icmr2023.org/paper-submissions/. *** Organizing committee *** Luca Cuccovillo, Fraunhofer IDMT, Germany Bogdan Ionescu, Politehnica University of Bucharest, Romania Giorgos Kordopatis-Zilos, Centre for Research and Technology Hellas, Thessaloniki, Greece Symeon Papadopoulos, Centre for Research and Technology Hellas, Thessaloniki, Greece Adrian Popescu, CEA LIST, Saclay, France The workshop is supported under the H2020 project AI4Media “A European Excellence Centre for Media, Society and Democracy” https://www.ai4media.eu/, and the Horizon Europe project vera.ai “VERification Assisted by Artificial Intelligence” https://www.veraai.eu/. On behalf of the organizers, Bogdan Ionescu https://www.aimultimedialab.ro/

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First CFP: Modelling Translation: Translatology in the Digital Age at NoDaLiDa-2023
by Maria Kunilovskaya 16 Jan '23

16 Jan '23

**Second Workshop on Modelling Translation: Translatology in the Digital Age** (MoTra-2023) First Call for Papers Submissions deadline: March 20, 2023 Workshop Day: May 22, 2023 Location: Tórshavn, Faroe Islands (hybrid format) Website: https://sfb1102.uni-saarland.de/?s=motra **Topic and Goals of the Workshop** MoTra-2023 aims to promote interdisciplinary and computational approaches to human translation, offering an opportunity for researchers in empirical translation studies, computational and corpus linguistics, NLP, cognitive science to exchange knowledge and methodological expertise in modelling various aspects of translation. Along with traditional research questions related to translationese, variation in translation, translation quality assessment, we encourage submissions on interpreting studies, multimodal translation, modelling translational strategies from cognitive, semantic and pragmatic perspectives as well as contributions presenting language resources for translation studies and translation-related software. We are particularly interested in forging a link between translation studies and machine translation and invite research at the interface of these fields. This event seeks to follow up on the investigations reported by the previous edition of the workshop. The proceedings of MoTra-2021 covered a wide range of topics in translatology enhancing the understanding of *translationese*, i.e linguistic specificity of translations setting them apart from non-translations in the target language and exploring *variation in human translation*, including in contrast with machine translation (https://aclanthology.org/volumes/2021.motra-1/ <https://aclanthology.org/volumes/2021.motra-1/>). The contributions described computational and NLP methods to model translation varieties (student/professional, human/machine, written/spoken) and translation processes/solutions, especially around particular items (translation problem triggers, discourse markers, adjectives, polarity items), and reported the results of manual linguistic analysis of modelling outcomes. **The workshop invites submissions on relevant research topics, including but not limited to:** - Translation and translationese detection, source language identification and quantitative analysis of translations - NLP approaches to translationese - Analysis and interpretation of variation in translation according to context (domain, register, genre), mode and medium (spoken, written, audio-visual), translator (professional, novice, crowd-sourced), recipient (simplified language) etc. - Intrinsic and extrinsic evaluation of translation models - Research at the interface between translation studies and machine translation - Contextualized and multimodal translation analysis - Computational semantics and pragmatics applied to translation studies - Sentiment and emotion analysis of translations - Human translation quality assessment and annotation - Computational models of translation types such as communicative translation, semantic translation, transcreation, intralingual translation, etc. - New corpora for translation studies, such as literary translation corpora, interpreting transcript datasets, learner translator corpora, etc. - Translation, post-editing, (error) annotation software - Cognitive modelling of translation processes, including cognitive load measurements and communication optimisation in translation **Invited Speakers** Maarit Koponen (University of Eastern Finland) **Program Committee** Silvia Bernardini (University of Bologna) Mario Bisiada (Universitat Pompeu Fabra) Yuri Bizzoni (Aarhus University) Lynne Bowker (University of Ottawa) Michael Carl (Kent State University) Oliver Czulo (Leipzig University) Cristina España i Bonet (Saarland University) Alex Fraser (LMU Munich) Alina Karakanta (University of Trento) Stella Neumann (RWTH Aachen University) Antoni Oliver (Open University of Catanlunya) Maja Popovic (ADAPT Centre, DCU) Moritz Schaeffer (University of Mainz) Tatiana Serbina (RWTH Aachen University) Serge Sharoff (University of Leeds) Antonio Toral (University of Gröningen) **Organizers’ Contacts** Maria Kunilovskaya (maria.kunilovskaya(a)uni-saarland.de) Ekaterina Lapshinova-Koltunski (lapshinovakoltun(a)uni-hildesheim.de) Elke Teich (e.teich(a)mx.uni-saarland.de) **Important Dates** - Monday, March 20, 2023: Workshop paper submission deadline - Monday, April 17, 2023: Notification of acceptance - Monday, May 1, 2023: Camera-ready workshop papers due - Monday, May 22, 2023: The workshop day **Paper Submission** We invite submissions of three kinds: - long papers on substantial, original, and unpublished research, including empirical evaluation of results, up to 8 pages without references; - short papers on smaller, focused contributions, negative results, surveys, or opinion pieces, up to 4 pages without references; and - demonstration papers on software, systems, interfaces, infrastructures, language resources, data collections, or annotations, up to 4 pages without references. Papers accepted for presentation at the conference will appear in the NoDaLiDa 2023 proceedings, published as part of the NEALT Proceedings Series and in the ACL Anthology. Accepted papers will appear on the workshop website (https://sfb1102.uni-saarland.de/?s=motra/), too. All submissions should be anonymous and should follow the official Nodalida 2023 LaTeX template (see https://www.nodalida2023.fo/call-for-papers/). The ACL author guidelines and anonymity rules apply. Papers that have been or will be submitted to other venues must indicate this at submission time, and must be withdrawn from the other venues if accepted to NoDALiDa 2023. At least one author of each accepted paper must register to attend the workshop. The submissions are planned through OpenReview. The link to the submission page will appear in the Second Call for Papers. To inquire about the submission and reviewing process or generally the workshop’s scientific program, please email: Maria Kunilovskaya maria.kunilovskaya(a)uni-saarland.de The workshop will be held in a hybrid format in conjunction with the NoDaLiDa Conference (https://www.nodalida2023.fo/) in Tórshavn, Faroe Islands.

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Call for Book Proposals _ Natural Language Processing (John Benjamins’ book series)
by amalhaddad＠ugr.es 16 Jan '23

16 Jan '23

Natural Language Processing (John Benjamins' book series) CALL FOR BOOK PROPOSALS John Benjamins' Natural Language Processing Book Series invites new book proposals to respond to the growing demand for Natural Language processing (NLP) literature. Three general types of books are considered for publication: _Monographs_ - featuring (i) original leading cutting-edge research (the monograph could be based on an outstanding PhD thesis), or (ii) surveys of the state-of-the art of specific NLP tasks or applications. _Collections_ - (i) books focusing on a particular NLP area (e.g. emerging from successful NLP workshops or as a result of editors' calls for papers) or (ii) books which include papers covering a wide range of topics (e.g. emerging from competitive NLP conferences or as a result of proposals for books of the type "Readings in NLP"). _Course books_ - (i) general NLP course books or (ii) course books on a particular key area of NLP (e.g. Speech Processing, Computational Syntax/Parsing). Authors will be encouraged to append supplementary materials such as demonstration programs, NLP software, corpora etc. and to indicate websites, computational language resources etc. where appropriate. This call invites proposals from potential authors of the types of books described above. Proposals on any topic related to Natural Language Processing are welcome. Topics The scope of the series is comprehensive ranging from fundamental Computational Linguistics topics (Computational Syntax, Computational Semantics etc.) through NLP methods (statistical methods, Machine Learning, Deep Learning) to NLP applications (machine translation, information extraction, information retrieval, question answering etc.). The series covers both written language and speech; it welcomes works covering (but not limited to) areas such as: phonology, morphology, syntax, semantics, discourse, pragmatics, dialogue, text understanding and generation, machine translation, machine-aided translation, translation aids and tools, corpus-based language processing; written and spoken natural language interfaces, knowledge acquisition, information extraction, text summarisation, text classification, computer-aided language learning, language resources. Particularly welcome are books describing the development and use of latest Deep Learning techniques. Editor/Advisory board The new series' editor is Ruslan Mitkov (University of Wolverhampton) and the advisory board of the series includes: - Eduardo Blanco (University of North Texas) - Gloria Corpas (University of Malaga) - Robert Dale (Macquarie University) - Elizaveta Goncharova (National Research University) - Veronique Hoste (Veronique Hoste) - Eduard Hovy (Carnegie Mellon University) - Lori Lamel (The Computer Sciences Laboratory for Mechanics and Engineering Sciences) - Carlos Martín-Vide (Rovira i Virgili University) - Johanna Monti (University of Naples "L'Orientale" ) - Roberto Navigli (Sapienza University of Rome) - Nicolas Nicolov (Head of AI/ML, Avalara Inc.) - Constantin Orasan (University of Surrey) - Paolo Rosso (Universitat Politècnica de València) - Raheem Sarwar (University of Wolverhampton) - Khalil Sima'an (University of Amsterdam) - Richard Sproat (Google Research) - Key-Yih Su (Institute of Information Science, Academia Sinica) The managing editor at John Benjamins is Kees Vaes (Email kees.vaes(a)benjamins.nl). SUBMISSION OF PROPOSALS Interested authors should submit proposals by email (plain text or pdf files) to the series Editor-in-Chief: Prof Dr Ruslan Mitkov Email ruslanmitkov(a)yahoo.co.uk with a copy to the editorial assistants Ms Rocío Caro Quintana (R.Caro(a)wlv.ac.uk), Ms Amal Haddad Haddad (amalhaddad(a)ugr.es) and Ms Dayana Abuin Rios (dayana.abuinr(a)gmail.com). The proposals should include an outline of the book (1-2 pages), a preliminary table of contents, the target readership, related publications, how the book will differ from other similar books in the area (if applicable), time-scale and information about the prospective author (relevant experience in the field, publications etc.). Each proposal will be reviewed by members of the advisory board or additional reviewers. MORE INFORMATION More information on the new available at Natural Language Processing (https://benjamins.com/catalog/nlp).

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Assistant professor position (fast tenure track) in NLP at Maastricht University
by Spanakis, Jerry (DACS) 16 Jan '23

16 Jan '23

Hi all, At my department at Maastricht University, we are looking for an assistant professor in NLP (all focus areas included). If you are interested and/or know somebody and/or can forward it in your networks, I would be grateful. See below for the full ad/more details (or here<https://www.academictransfer.com/en/322163/assistant-professor-in-computer-…>). Deadline is February 5th. I am happy to answer any questions (informally). Best, -Jerry ————— Are you a computer scientist with a passion for research and teaching? The Department of advanced Computing Sciences (DACS) at Maastricht University is excited to welcome a new colleague who is keen to continue growing our research and to keep up our excellent standard of education. JOB DESCRIPTION We invite applications for an assistant professor position in computer science, focused on natural language processing (NLP). The position is open to all areas of NLP. We are particularly interested in candidates who have expertise in applying NLP in areas such as human-machine interaction, cognitive and social robotics, decision making, text mining, dialogue and communicative systems, automated argumentation, question answering, machine translation, information extraction, and NLP for social good. As an assistant professor, you will undertake cutting-edge research in an academic environment that is intellectually stimulating, welcoming, and collaborative. You will also contribute to our top-rated education, which is integrated with ongoing research in the department. Responsibilities | More specifically, you will: * Conduct leading research in your field of expertise; * Teach courses at the bachelor and master level (in English); * Supervise students at all levels (BSc, MSc, PhD); * Network and collaborate with internal and external research partners; * Apply for research funding on a national and European level. REQUIREMENTS Profile | Our ideal candidate has: * A PhD degree in computer science, computational linguistics, machine learning, applied mathematics, engineering, or a strongly related field; * At least 1 year working experience in an academic environment post-PhD; * A track record in research and teaching; * Experience with applying for research funding; * Experience with guiding Bachelor/Master/PhD students; * Fluent mastery of the English language; * A personality characterized by team spirit, ambition, and vision; * A keenness to build bridges between disciplines and to work in an interdisciplinary environment. We will help you develop yourself as a teacher and obtain a University Teaching Qualification (BKO, for basiskwalificatie onderwijs: an official certification for teaching at Dutch universities) through a training programme, in case you are not yet certified. CONDITIONS OF EMPLOYMENT We offer a position (1.0 FTE) as Assistant Professor (universitair docent), starting as soon as possible. Upon satisfactory performance in the one and a half year probationary period, this initially 18 months position will become permanent. We offer a salary as stipulated in the Collective Labour Agreement of the Dutch Universities. Within this framework, we offer a competitive salary with a minimum of € 3,974 and a maximum of € 6,181 per month (depending on your experience) for a full-time position of 38 hours/week. On top of this, there is an annual holiday allowance (8% of annual income) and an annual end-of-year bonus (8.3% of annual income). Applicants from outside The Netherlands may be eligible for the so-called 30% ruling, a tax cut for highly skilled migrants that applies for a maximum of five years. If you are moving to Maastricht from more than 40 kilometers away, you may qualify for a one-time reimbursement of your relocation costs. The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. Notable terms include a pension scheme, an optional collective healthcare plan and partially paid parental leave. Furthermore, UM makes use of a selection model, which allows you to exchange employment conditions to adapt them to your preferences and circumstances. For more information look at the website www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/> > About UM > Working at UM. EMPLOYER Maastricht University Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/>. Living and working in Maastricht | DACS is housed in the historical city center of Maastricht, The Netherlands. Situated in the heart of Europe and within 30 kilometers from the German and Belgian borders, Maastricht and its 120,000 inhabitants have a strong international character. It is a safe and family-friendly city with a history spanning more than 2,000 years. The city’s rich past is reflected everywhere in the streets: the ratio of monuments-to-inhabitants is roughly 1:73. If you are unfamiliar with The Netherlands, UM’s Knowledge Centre for International Staff will gladly assist you with practical matters such as housing. DEPARTMENT Department of Advanced Computing Sciences | The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics. Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 800 bachelor’s and master’s students in 3 specialized study programmes in Data Science and Artificial Intelligence. https://www.maastrichtuniversity.nl/dacs Faculty of Science and Engineering | Maastricht University heavily invests in the growth of its STEM research and education. The Faculty of Science and Engineering is one of the focal points of these developments. Within the Faculty of Science and Engineering, over 260 researchers and more than 2,700 students work on themes such as data science and artificial intelligence, circularity and sustainability, and fundamental physics. ADDITIONAL INFORMATION More information If you have questions about this position, you can refer to: Prof. Mark Winands, Professor in Machine Reasoning, Chair of DACS E-mail: m.winands(a)maastrichtuniversity.nl<mailto:m.winands@maastrichtuniversity.nl> If you are interested in the position of Assistant Professor in Computer Science / NLP at DACS, we welcome you to apply via Academic Transfer (link<https://www.academictransfer.com/en/322163/assistant-professor-in-computer-…>). We strongly believe in diversity (including but not limited to nationality, age and gender) and encourage you to apply if you are qualified for this position.

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Fully-funded PhD position at University of Bremen
by Molina León, Gabriela Carolina 16 Jan '23

16 Jan '23

Dear all, We have an open full-time PhD position in the Collaborative Research Center "Global Dynamics of Social Policy" at the University of Bremen, funded for at least 3 years. The research of our project focuses on computational social science, especially natural language processing and data visualization. Currently, we are looking for someone interested in focusing their doctoral research on challenging NLP tasks involving the analysis of multilingual social science data from social media and official documents published worldwide since 1880. The goal is to empower social science researchers with advanced computational methods. You can find more information about the job offer here: https://www.uni-bremen.de/en/university/the-university-as-an-employer/job-v… Please feel free to share with any interested students and reach out for any questions to Prof. Andreas Breiter (abreiter at uni-bremen.de) who leads the team. Best regards, Gabriela C. Molina León Doctoral Researcher ifib - Institute for Information Management Bremen & CRC 1342: Global Dynamics of Social Policy Universität Bremen Unicom, 7.1040 Mary-Somerville-Str. 7 28359 Bremen molina(a)uni-bremen.de

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Postdoc Position (Hate Speech Detection) for up to 3 years in Milan, deadline 23rd Jan
by mail＠dirkhovy.com 16 Jan '23

16 Jan '23

We are looking for postdocs to work with us on INDOMITA! Online hate speech has resulted in actual hate crimes. INDOMITA offers automated assistance to combat online hate speech. However, hatred is complex. The offensiveness of a phrase is determined by social customs and user demographics: “Yo, a**hole!” is acceptable among friends but not strangers. Our user-centric approach takes into account social customs and user demographics to enhance detection of nuanced forms of hate speech. We will use three strategies: - modeling a complex problem with socio-demographic context, - automating counter-argument and responding to aggressive users, and - creating evaluation methods to analyze fairness, performance, and subjectivity. Our research will bridge language gaps and shed light on the relationships between online actors and online hatred. We are seeking candidates to work on NLP, machine learning, and neural networks for representation learning, natural language understanding, and hate speech detection in various languages and modalities. Successful candidates will work closely with Prof. Dirk Hovy, Prof. Debora Nozza, and the MilaNLP lab. Your profile: • a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields. • Excellent programming skills in Python. Additional languages (C++, R, etc) a plus. • Fluency in spoken and written English. Knowledge of Italian is NOT a requirement. • Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.). • Proven track record with publications in top-tier venues in the field of NLP/Computational Linguistics/ML. Position Details: • Starting date: March 1 2023, or any time thereafter • Duration: 2 years, 1 year extension possible • Deadline: 23rd January 2023 • Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme How to apply: Go to the https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/Si… <https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/Si…> and search for “INDOMITA”, you will then have to click on “Apply online” for proceeding with the application. Candidates should attach publications and a cover letter to their application. Online interviews will take place during February 2023. Please contact dirk.hovy(a)unibocconi.it <mailto:dirk.hovy@unibocconi.it> if you have any question.

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NLP Scientific Officer Job opportunity at EC JRC - Ispra, Italy
by DE LONGUEVILLE Bertrand 16 Jan '23

16 Jan '23

DEADLINE EXTENDED : new deadline = 23/01/2023 Dear List, Please take good note of the Job Opportunity at the European Commission’s Joint Research Centre (see details blow). Please feel free to forward it to any potentially interested member of your networks. I enjoy the opportunity to whish happy Holidays season to all. Best Regards, Bertrand DE LONGUEVILLE, PhD Head of the Text Mining and Analysis Competence Centre (TMACC) [1601448337241] European Commission Joint Research Centre (JRC) Directorate T:Digital Transformation and Data<https://intracomm.ec.testa.eu/SYSPER2/org/vieworganisationjobs_jd.do?viewOb…> Unit T5 Text and Data Mining [cid:image002.jpg@01D929B6.08458220] The European Commission Text Mining and Analysis Competence Centre (TMACC - https://knowledge4policy.ec.europa.eu/text-mining/ ), hosted by the Joint Research Centre (JRC), is looking for a Machine Learning expert to reinforce our Natural Language Processing team. The Unit's day-to-day work involves processing vast amounts of textual data, including legal acts, political speeches, discussion fora, news and social media postings, to the benefit Science-for-Policy projects within the EU Institutions. The job is based in Ispra, Italy. An ideal candidate will have a PhD or a minimum of 3 years of professional experience after university, an academic background in Computer Science, Artificial Intelligence or similar, and hands-on experience in developing Text Mining applications. Contract duration: 36 months initial contract with possible renewals up to maximum 6 years. The basic monthly salary for Function Group IV (depending on years of experience): 3 555,98 - 6 593,66€. In addition to the basic salary, the candidate may be eligible for various allowances (including expatriation and household allowances). For further information, see: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52020XC1211(0… The JRC has short-term accommodation facilities for newcomers, nearby the its green campus situated close to Lago Maggiore. The JRC has childcare facilities for children under 4 years old. Children above 4 years can attend the European School of Varese (https://www.eurscva.eu/en/home/ ), for which transport is organised from the surrounding areas. To apply: 1. Create a profile on one of these two application portals: a. EPSO Permanent CAST https://epso.europa.eu/en/documents/2240 OR b. JRC specialised call for researchers https://joint-research-centre.ec.europa.eu/working-us/jobs-jrc/temporary-po… 2. Once you have created your profile via one of the above portals, create your application via: https://recruitment.jrc.ec.europa.eu/?type=AX The available position appears among the open positions with the following identifiers: 2022-IPR-I3-FGIV-022149 Title: FG IV – IT Project Officer – NLP Scientific Research https://recruitment.jrc.ec.europa.eu/showprj.php?type=A&id=2439&target= !! Deadline: 23/01/2023 !!

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