August 2022 - Corpora

Two PhD positions on NLP & Social Network Analysis for Ancients Texts - KU Leuven
by tim.vandecruys＠kuleuven.be 23 Aug '22

23 Aug '22

Within the context of the ID-N project NIKAW, funded by the Special Research Fund (BOF) of KU Leuven, we are inviting applications for two PhD positions on the subjects of (1) machine learning for information extraction from ancient texts and (2) social network analysis for the transmission of ideas in the Ancient World. The set of thoughts, ideas, and beliefs that are shared, discussed, and enriched in a society is a complex and dynamic reality, constantly fed by and giving way to historical events. Nowadays, the easy access to social network and telecommunication data, online publications, and, for instance, book sales data, has increased our possibilities of analyzing this flow of information incredibly. In this project, however, we want to investigate how we can map the circulation of ideas and identify pivotal individuals in past societies, namely the Graeco-Roman world, whose fragmented history, encompassing many centuries, can only be studied through partial remainders. To this end, the NIKAW project aims to exploit textual information from the ancient world to reconstruct the transmission of knowledge across multilingual, geographically and chronologically extended communities. More information on the two positions can be found at (1) https://www.kuleuven.be/personeel/jobsite/jobs/60138308?hl=en&lang=en (2) https://www.kuleuven.be/personeel/jobsite/jobs/60138293?hl=en&lang=en For inquiries, please contact Margherita Fantoli (margherita.fantoli(a)kuleuven.be) or Jens Bürger (jens.burger(a)kuleuven.be) Deadline for applications: Thursday, September 8, 2022

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[Corpora-List]CfP: Special issue on Cumulative knowledge building and replication in Learner Corpus Research
by Tove E Larsson 23 Aug '22

23 Aug '22

Call for papers for the International Journal of Learner Corpus Research (Benjamins): Special issue on Cumulative knowledge building and replication in Learner Corpus Research Guest editors: Tove Larsson & Doug Biber (Northern Arizona University) Compared to other subfields of linguistics, Learner Corpus Research (LCR) has a relatively short history. For this and other reasons, most of the studies that get published in the field are exploratory in nature and focus on topics that have yet to receive prolonged attention. Such studies no doubt make valuable contributions to the field. However, LCR is arguably mature enough as a field to also have accumulated enough knowledge on certain topics for researchers to be able to instead adopt a cumulative approach. In the cumulative approach to knowledge building, individual studies are viewed as building blocks, carefully pieced together to help us form an increasingly better understanding of a topic. There are three distinguishing characteristics of this approach: First, the literature review focuses on what we have actually learned from previous research on the topic, rather than merely cataloging individual studies. Second, the research ‘gap’ refers to an important missing element in our cumulative knowledge, rather than to a research angle that has not been explored yet; that is, the literature review is used to identify a missing piece in an existing puzzle, rather than to justify starting a new one. And finally, results of the new study are explicitly compared to previous findings, to discuss the state of our knowledge based on all studies taken together. Through this big-picture thinking, we can collectively refine our understanding of the topic, and further our knowledge in a systematic matter. Put differently, this approach enables us to build a state-of-the-art in the field by moving beyond the results of individual studies. With this call, we invite studies of two kinds: * Empirical studies that set out to test hypotheses arrived at from an existing body of research with the explicit aim of adding to our knowledge on a given topic that has received ample attention in LCR. Examples of topics that may be ripe for studies of this kind include, but are not limited to, linguistic complexity and the formulaic nature of learner language. * Empirical studies that replicate findings from an existing body of research and, importantly, that focus on strengthening and/or tweaking existing generalizations in LCR. Examples of topics include, but are not limited to, claims of the spoken-like nature of learners’ written production. Timeline: * August 1, 2022: Abstract and title due * September 1, 2022: Authors are notified * September 1, 2023: Full manuscript due Please send submissions to tove.larsson(a)nau.edu<mailto:tove.larsson@nau.edu> --- Tove Larsson, Ph.D. Assistant Professor of Applied Linguistics English Department Northern Arizona University https://tovelarssoncl.wordpress.com

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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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2024

2023

2022

Corpora August 2022