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Vacancy Assistant Professor in NLP at Maastricht University
by Spanakis, Jerry (DKE) 23 Aug '22

23 Aug '22

Hi all, My department (Department of Advanced Computing Sciences<https://www.maastrichtuniversity.nl/research/department-advanced-computing-…>) has a vacancy for an assistant professor in NLP. Focus can vary: machine translation, question answering, information retrieval, NLP applications, etc. The text follows. Apply here<https://www.academictransfer.com/en/316633/assistant-professor-in-computer-…> by October 2nd. Please share the position in your network. If you have any questions about the position or the city, feel free to contact me! Best, Gerasimos (Jerry) Spanakis, PhD Assistant Professor Department of Advanced Computing Sciences | Maastricht Law+Tech Lab Faculty of Science and Engineering jerry.spanakis(a)maastrichtuniversity.nl<mailto:jerry.spanakis@maastrichtuniversity.nl> https://dke.maastrichtuniversity.nl/jerry.spanakis/ [cid:image001.png@01D4BD3B.1A7CBE90] Paul-Henri Spaaklaan 1, 6229EN, Maastricht, The Netherlands, Room C4.029A Postbus 616, 6200 MD Maastricht T 0031(0)4338-83916 [cid:image002.jpg@01D4BD3B.1A7CBE90] — 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 goods. 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). 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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CFP: InterNLP 2022 -- workshop on interactive learning for NLP @ NeurIPS
by Kianté Brantley 23 Aug '22

23 Aug '22

--------------------------------------------------------------------------- CALL FOR PAPERS: InterNLP 2022 NeurIPS Workshop --------------------------------------------------------------------------- The 2nd workshop Interactive Learning for Natural Language Processing (InterNLP 2022; https://internlp.github.io/), will take place on December 3, 2022 in New Orleans, LA, USA, as part of NeurIPS Workshops. We'd like to invite you to submit papers in any of the areas covered by the title, as well as the following topics with a focus on NLP: - Learning through interaction with human users - Active learning, reinforcement learning, bandit learning in interactions - Human feedback and preferences as a learning signal - Modeling for interactive learning - User effort and experience in interactive learning scenarios - Evaluation and reproducibility in interactive learning systems - Benchmarks, tasks, and datasets for interactive learning - Empirical results for applications of interactive methods A submission should be made in the form of a short 4-page extended abstract using the NeurIPS LaTeX style. Manuscripts should be anonymized in accordance with the same rules as NeurIPS papers. References and appendices can extend as far beyond the 4-page limit as needed. We accept new and original work and submissions describing previously published work. The workshop is non-archival. Important dates: Submission deadline: September 22, 2022 Notification of acceptance: October 15, 2022 Camera-ready papers deadline: TBD Workshop: December 3, 2022 Submission link: https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/InterNLP Contact email: internlp2022(a)googlegroups.com Organizers: Kianté Brantley, Soham Dan, Ji-Ung Lee, Khanh Nguyen, Edwin Simpson, Alane Suhr, and Yoav Artzi

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COGALEX - Deadline extension (September 02, 2022)
by Michael Zock 23 Aug '22

23 Aug '22

Dear colleagues, Following the request of various authors (who are still on vacations), we’ve extended the deadline of COGALEX by one week. The new deadline is: 02-Sept-2022 Hoping that this will allow you to submit your paper under better conditions. 'Bon courage' Michael Zock ============ Call for papers for COGALEX-VII The 7th International Workshop on Cognitive Aspects of the Lexicon https://sites.google.com/view/cogalexvii2022/home co-located with AACL-IJCNLP 2022 https://www.aacl2022.org/home Taipei, Taiwan Submission Deadline: 02-Sept-2022 Workshop date : Date: 24-Nov-2022 Key words: Dictionary, (Mental)Lexicon, Brain, Cognition, Neuroscience, Computational Linguistics; Corpus Linguistics, Complex graphs, Navigation Meeting Description: COGALEX is a workshop devoted to the cognitive aspects of the lexicon. While in the past, it has always been co-located with COLING, this time it will be hosted by AACL-IJCNLP 2022, at the NTUH International Convention Center, Taipei, Taiwan (https://www.aacl2022.org/home). The accepted papers will be published as proceedings appearing in the ACL anthology. The goal of COGALEX is to provide a snapshot of the current state of the art in the different disciplines —lexicography, psycholinguistics, neuroscience— dealing words, their organization (lexicon) and usage (for example: navigation in a hybrid conceptual-lexical resource; word production and analysis). The approach being deliberately cross-disciplinary. In sum, we solicit original and unpublished work related to the cognitive aspects of the lexicon. For details, see: https://sites.google.com/view/cogalexvii2022/home Short papers can be up to 4 pages in length and long papers up to 8 pages. Both submission formats can have an unlimited number of pages for references. All submissions must follow the ACL stylesheet. We don’t accept submissions that consist only of an abstract. The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blinded. Papers must be submitted via SoftConf by September 02, 2022. Submission page: https://softconf.com/aacl2022/CogALex-VII/user/scmd.cgi?scmd=submitPaperCus… At least one of the authors of an accepted paper must register for the main conference and present the paper. Accepted papers (short and long) will be published in the workshop proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera-ready submission can then be 4 pages for a short paper and 8 for a long paper with an unlimited number of pages for references. We consider to invite the authors of the accepted papers to submit an extended version of their workshop paper for a special issue. Important dates * Paper submission (full and short): September 02, 2022 * Notification of acceptance: October 02, 2022 * Camera ready deadline: October 20, 2022 * Workshop: November 24, 2022 Workshop organizers : * Michael Zock (CNRS, LIS, Aix-Marseille University, Marseille, France) * Emmanuele Chersoni (The Hong Kong Polytechnic University, Hong Kong, China) * Yu-Yin Hsu (The Hong Kong Polytechnic University, Hong Kong, China) * Enrico Santus (Bayer, Whippany, NJ, 07981, USA) For specific requests or information Please send an e-mail to cogalex2022(a)gmail.com, or to Michael Zock (michael.zock(a)lis-lab.fr), Emmanuele Chersoni (emmanuelechersoni(a)gmail.com) -- Michael ZOCK Emeritus Research Director CNRS LIS UMR 7020 (Group TALEP) Aix Marseille Université 163 avenue de Luminy - case 901 13288 Marseille / France Mail: michael.zock(a)lis-lab.fr <mailto:michael.zock@lis-lab.fr> Tel.: +33 (0)6 51.70.97.22 Secr.: +33 (0)4.86.09.04.60 http://pageperso.lif.univ-mrs.fr/~michael.zock/ <http://pageperso.lif.univ-mrs.fr/%7Emichael.zock/>

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Announcing the ALTA 2022 Shared Task
by Diego Molla-Aliod 23 Aug '22

23 Aug '22

CALL FOR PARTICIPATION http://www.alta.asn.au/events/sharedtask2022 The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students. Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology. This year's shared task is a re-visit of the 2012 task: PIBOSO Sentence Classification - 10 years later. The goal of this task is to build automatic sentence classifiers that can map the content of biomedical abstracts into a set of pre-defined categories, which are used for Evidence-Based Medicine (EBM). EBM practitioners rely on specific criteria when judging whether a scientific article is relevant to a given question. They generally follow the PICO criterion: Population (P) (i.e., participants in a study); Intervention (I); Comparison (C) (if appropriate); and Outcome (O) (of an Intervention). Variations and extensions of this classification have been proposed, and for this task we will extend PICO by adding the classes Background (B) and Study Design (S); and including sentences that have no relevant content: Other (O). Therefore, the goal will be to classify the provided sentences according to the PIBOSO schema. Such information could be leveraged in various ways: e.g., to improve search performance; to enable structured querying with specific categories; and to aid users in more quickly making judgements against specified PICOSO criteria. The tentative key dates are: - Right Now - Registration and release of training and development data - 04 Oct 2022 - Release of test data - 11 Oct 2022 - Deadline of submission of runs - 14 Oct 2022 - Notification of results - 10 Nov 2022 - Deadline of submission of system description - 15-16 Dec 2022 - Presentation of results at ALTA 2022 Details of the task and registration are available at the competition website (http://www.alta.asn.au/events/sharedtask2022). Good luck! Diego Molla-Aliod -- Dr. Diego Mollá-Aliod Senior Lecturer School of Computing | Room 358 (Level 3), 4 Research Park Drive Macquarie University, NSW 2109, Australia T: +61 2 9850 9531 | F: +61 2 9850 9551 https://macquarie.zoom.us/my/diego.molla http://comp.mq.edu.au/~diego I acknowledge the traditional custodians of the land on which Macquarie University stands – the Wallumattagal clan of the Dharug nation – whose cultures and customs have nurtured and continue to nurture this land since time immemorial. I pay my respects to Elders past and present.

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Second Call for (Raw) Data: ValueEval @ SemEval'23
by Milad Alshomary 23 Aug '22

23 Aug '22

Dear corpora community, We are organizing the ValueEval competition [1] as part of SemEval'23. We are looking for data suggestions or contributions to diversify our training and test datasets. The task of ValueEval is to automatically identify human value categories (e.g., "concern," "tradition," or "self-directed thinking") from which a statement draws persuasive power. For example, the statement "Nuclear weapons have the potential to cause massive destruction" can draw on social security values to appeal to the statement "Nuclear weapons should be abolished." For more details, see our paper and the existing dataset [2]. For more details, you can check the following video [3]. Specifically, we are looking for data that fulfill these criteria: - The data consists of pairs of two causally related short statements (1 to 3 sentences each): - the first statement of the pair must provide one or more reasons - the second statement of the pair provides context for the first statement: the first statement must either be supporting or attacking the second statement - The data contains between 50 and 1000 such pairs - The statements are in English (possibly translated from a different language) and grammatically sound The suitable datasets we know (mainly from the computational argumentation community) focus on US or Western topics and contain debate-style statements. We are thus specifically looking for datasets that focus on issues from other parts of the world or other genres. We are grateful for pointers to resources we could use (e.g., specific websites) or to existing corpora. After assessing suitability per the criteria outlined above, we will take care of annotation. We will write a paper on the final dataset and invite each data contributor to join as a co-author. If you are interested in becoming a contributor, please respond to this mail by August 31, 2022. Yours sincerely, Milad, Johannes, Henning, and Benno [1] https://valueeval.webis.de [2] Kiesel, Johannes, Milad Alshomary, Nicolas Handke, Xiaoni Cai, Henning Wachsmuth, and Benno Stein. "Identifying the Human Values behind Arguments." In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 4459-4471. 2022. https://webis.de/publications.html#kiesel_2022b [3] https://www.youtube.com/watch?v=ZAQ4LELCCY4&ab_channel=webis

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[CFP] Final call: ClinSpEn sub-track (Biomedical WMT Task, EMNLP 2022)
by Darryl Estrada 22 Aug '22

22 Aug '22

FINAL CFP: ClinSpEn sub-track (Biomedical WMT Task, EMNLP 2022) Machine Translation of Clinical cases, ontologies & EHR-derived medical entities: Spanish - English https://temu.bsc.es/clinspen/ <https://mailtrack.io/trace/link/05be2aaa5efff8fa06101d4d9bd3f38e6bfc46f8?ur…> Important updates: Additional track information on CodaLab & team submission instructions are now available.! The ClinSpEn track of the Biomedical WMT 2022 shared task tries to address a pressing need and emerging research topic related to the development and exploitation of multilingual clinical NLP and text mining applications. Recent advances in neural machine translation approaches (MT) adapted to specific domains and text genres have resulted in promising results that facilitate processing of healthcare and clinical data beyond language silos. The ClinSpEn sub-track tries to promote the use of advanced machine translation technologies applied to three high impact healthcare application scenarios: (1) automatic translation of clinical case documents of importance to examine how MT could be further applied to cope with clinical records (2) automatic translation of clinical terms and entity mentions extracted directly from medical records and literature to improve multilingual semantic annotation technologies (3) automatic translation of ontologies and controlled vocabulary concepts of uttermost importance for multilingual data and concept normalization These three scenarios will be addressed by three specific benchmark data collections used for evaluation purposes by the ClinSpEn biomedical WMT track: ClinSpEn-CC (Clinical Cases): EN>ES translation of clinical case documents. ClinSpEn-CT (Clinical Terms): ES>EN translation of clinical terms and entity mentions extracted from records and literature. ClinSpEn-OC (Ontology Concepts): EN>ES translation of highly used open clinical controlled vocabularies and ontology concepts. Important links: - ClinSpEn web: https://temu.bsc.es/clinspen/ <https://mailtrack.io/trace/link/27848d561aa67f680f82a1a5e9615f53b89f792b?ur…> - Biomedical WMT web: https://statmt.org/wmt22/biomedical-translation-task.html <https://mailtrack.io/trace/link/a206f362a3cb3f484202d46006eeb3d48099f0eb?ur…> - WMT2022: https://statmt.org/wmt22/ <https://mailtrack.io/trace/link/ebb366cd939698a86e246d66cac5a0f452827b5b?ur…> - EMNLP conference: https://2022.emnlp.org/ <https://mailtrack.io/trace/link/60c9dac76828def2aab4d9a43e06b9e15fcf81ac?ur…> - Unified Dataset: https://doi.org/10.5281/zenodo.6497350 <https://mailtrack.io/trace/link/e35b0ed7dad1f2a56ed6ea55bc72d5ca0647c32a?ur…> - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/6696 <https://mailtrack.io/trace/link/7dca1bd7d5495ee836b1c94740619737703c54d2?ur…> - Team Registration (mandatory): https://temu.bsc.es/clinspen/registration/ <https://mailtrack.io/trace/link/204a99701995335a8becc4befbfc6888e57bc086?ur…> For the ClinSpEn track Gold Standard manual translations generated by professional medical translators have been generated to evaluate participating teams. The primary evaluation metric to be used for this track will be SacreBLEU. Participants will also have access to a larger background collection to promote scalability and robustness assessment of machine translation technology. Updated schedule: - Participant Predictions Due: August 30th, 2022 (UPDATED EXTENSION!) - Paper Submission: September 7th, 2022 - Acceptance notification: October 9th, 2022 - Camera-ready version: October 16th, 2022 - WMT workshop at EMNLP: December 7th and 8th, 2022 Publications and workshop Participating teams will be invited to contribute a systems description paper for the WMT 2022 Working Notes proceedings. This workshop will be part of the prestigious EMNLP 2022 conference. More information on the paper’s specifications, formatting guidelines and review process at: https://statmt.org/wmt22/index.html <https://mailtrack.io/trace/link/1b9a537906e7b6f6e152000b4465dbc0e881a636?ur…> . Biomedical WMT Organizers - Rachel Bawden (University of Edinburgh, UK) - Giorgio Maria Di Nunzio (University of Padua, Italy) - Darryl Johan Estrada (Barcelona Supercomputing Center, Spain) - Eulàlia Farré-Maduell (Barcelona Supercomputing Center, Spain) - Cristian Grozea (Fraunhofer Institute, Germany) - Antonio Jimeno Yepes (University of Melbourne, Australia) - Salvador Lima-López (Barcelona Supercomputing Center, Spain) - Martin Krallinger (Barcelona Supercomputing Center, Spain) - Aurélie Névéol (Université Paris Saclay, CNRS, LISN, France) - Mariana Neves (German Federal Institute for Risk Assessment, Germany) - Roland Roller (DFKI, Germany) - Amy Siu (Beuth University of Applied Sciences, Germany) - Philippe Thomas (DFKI, Germany) - Federica Vezzani (University of Padua, Italy) - Maika Vicente Navarro, Maika Spanish Translator, Melbourne, Australia - Dina Wiemann (Novartis, Switzerland) - Lana Yeganova (NCBI/NLM/NIH, USA) Darryl Estrada Full Stack - Web Developer * Text Mining Unit | Barcelona Supercomputing Center*

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Various NLP and AI jobs at DFKI in Berlin, Germany (application deadline: 26 Aug.)
by Georg Rehm 22 Aug '22

22 Aug '22

Dear colleagues, we have a number of open jobs in various NLP and AI projects (OpenGPT-X, NFDI4DataScience, DataBri-X) at DFKI in Berlin: 1/5 OpenGPT-X: Researcher (m/f/d) – NLP, ML, language models and language modelling – https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0language-models-4… 2/5 OpenGPT-X: Researcher or software engineer (m/f/d) – Gaia-X, NLP and Language Technology infrastructure (especially European Language Grid) – https://jobs.dfki.de/ausschreibung/researcher-m-w-d-oder-softwareengineer-m… 3/5 and 4/5 NFDI4DataScience and AI: Researcher (m/f/d) – NLP, knowledge graphs, scholarly information extraction, research data infrastructure – https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0nfdi4datascience-… 5/5 DataBri-X: Researcher (m/f/d) – Language Technology, NLP and Data – https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0language-and-data… The application deadline for all vacancies is 26 August (this week Friday). Please circulate this message to any colleagues or friends who could be interested in one of the roles. Many thanks! In case of questions, I'm happy to help. Best regards, Georg -- *Prof. Dr. Georg Rehm <http://georg-re.hm/>* Principal Researcher and Research Fellow [image: DFKI] <http://www.dfki.de/> DFKI GmbH <http://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Gabriël Clemens Amtsgericht Kaiserslautern, HRB 2313

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PhD and Junior research group positions in CL/NLP/AI at Univ. of Bielefeld, Germany
by Sina Zarrieß 22 Aug '22

22 Aug '22

The Joint Artificial Intelligence Institute at Bielefeld and Paderborn University has open positions in a new project on the "SustAInable Life-cycle of Intelligent Socio-Technical Systems”: SAIL (jaii.eu/sail/). The project addresses fundamental research in sustainable AI, its implications from the perspective of social sciences, linguistics and the humanities, and the specific application domains industry 4.0 and intelligent healthcare. We are looking for a junior research group leader in Computational Linguistics: - jaii.eu/sail/#r1.ling.jrg We have 3 full-time PhD positions in Computational Linguistics, NLP and Deep Learning: - Individualization of language models and language moderation (jaii.eu/sail/#r1.1) - Longitudinal analysis of change and variety in natural language data (jaii.eu/sail/#r1.ling) - Label-efficient learning from natural language supervision (jaii.eu/sail/#r3.6) We look forward to your applications! -- 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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18-month Postdoc position on Natural Language Processing
by Jose Camacho Collados 21 Aug '22

21 Aug '22

Start date: Early 2023 (flexible) Closing date: 4 September 2022 Duration: Up to 18 months Applications are invited for a postdoctoral research post at Cardiff University’s School of Computer Science & Informatics in the context of a UKRI Future Leaders Fellowship led by Jose Camacho Collados. The project is titled “Unsupervised background knowledge for multilingual language understanding”. The project largely deals with language understanding, with a focus on improving Natural Language Processing (NLP) models as to be more interpretable, capture relational and commonsense knowledge, and enhance multilinguality. The successful candidate will be integrated in the Cardiff NLP Group<https://cardiffnlp.github.io/post/> of Cardiff University. For overseas applicants, the successful candidate will be eligible for a Global Talent Visa. More information: For instructions on how to apply and more information, please go to the following website: https://krb-sjobs.brassring.com/TGnewUI/Search/Home/HomeWithPreLoad?partner… For more details about the position, please contact Jose Camacho Collados (camachocolladosj(a)cardiff.ac.uk). -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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2nd Call for Abstracts - North American Research Network in Historical Sociolinguistics - Fifth Annual Meeting (NARNiHS 2023)
by Lauersdorf, Mark R. 20 Aug '22

20 Aug '22

***** 2nd Call for Abstracts ***** NARNiHS 2023 ***** North American Research Network in Historical Sociolinguistics ***** Fifth Annual Meeting Despite the recent relaxation of global pandemic travel policies, travel concerns remain for many communities as of the summer of 2022. In light of these concerns, and in response to the positive feedback we have received concerning our recent all-online events, our NARNiHS 2023 Annual Meeting will once again be taking place as a **free, entirely online event**. This presents a great opportunity for scholars in historical sociolinguistics from all over the world to participate as presenters and/or attendees without the limitations imposed by international travel. We encourage our fellow historical sociolinguists and scholars from related fields from our global scholarly community (in addition to North America) to join us online for our Fifth Annual Meeting. ==> Abstract submission deadline: Monday, 19 September 2022, 11:59 PM US Eastern Time. Please see our call for abstracts below and send us your latest work in historical sociolinguistics! ----- Call for Abstracts -----. The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its Fifth Annual Meeting (NARNiHS 2023), to take place Wednesday, January 4 - Sunday, January 8, 2023. Since NARNiHS is a Sister Society of the Linguistic Society of America (LSA), NARNiHS 2023 will partially overlap with the LSA 2023 Annual Meeting. The NARNiHS 2023 Annual Meeting, however, will be organized independently from the LSA Annual Meeting. ==> Deadline for receipt of abstracts: Monday, 19 September 2022, 11:59 PM US Eastern Time. * Late abstracts will not be considered *. NARNiHS welcomes abstracts in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, models, and methods for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope. Abstracts will be accepted for 20-minute presentations to be delivered "live" through an online video-conferencing platform. *** Abstracts will be evaluated on the following criteria ***. - explicit discussion of which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued; - sufficient (if brief) presentation of data sources and examples to allow reviewers a clear understanding of the scope and claims of the research; - clear articulation of how the research advances knowledge in the field of historical sociolinguistics. Abstracts should also be anonymized to allow for blind peer review. Failure to adhere to these criteria will increase the likelihood of non-acceptance. *** General Requirements ***. 1) Abstracts must be submitted electronically, using the following link: http://linguistlist.org/easyabs/5THnarnihs2023 . 2) Authors may submit a maximum of two abstracts: one single-author abstract and one co-authored abstract. 3) After an abstract has been submitted, no changes of author, title, or wording of the abstract, other than those due to typographical errors, are permitted. If accepted, authors will be contacted for a final version for the abstract booklet. 4) Papers must be delivered as projected in the abstract or represent bona fide developments of the same research. 5) Authors are expected to attend the conference and present their own papers. 6) Presentations will be delivered via a video-conferencing platform, most likely Zoom. Technical details and instructions regarding the platform for our NARNiHS Annual Meeting will be sent to authors in due time. 7) After acceptance, authors will be given an option to have their live presentation recorded during the meeting and archived for future online viewing. *** Abstract Format Guidelines ***. 1) Abstracts must be submitted in PDF format. 2) Abstracts must fit on one standard 8.5x11 inch page, with margins no smaller than 1 inch and a font style and size no smaller than Times New Roman 12 point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed. 3) Anonymize your abstract. We realize that sometimes it is not possible to attain complete anonymity, but there is a difference between "inability to anonymize completely" (due to the nature of the research) and "careless non-anonymizing" (for example: "In Jones 2021, I describe..."). In addition, be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving before submitting it). Please be aware that abstract file names might not be automatically anonymized by the system; do not use your name (e.g. Smith_Abstract.pdf) when saving your abstract in PDF format, rather, use non-identifying information (e.g. HistSoc4Lyfe_NARNiHS.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible (whether in the text of the abstract or in the metadata of the digital file) risk being rejected. Contact us at NARNiHistSoc(a)gmail.com with any questions.

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