- Corpora - ELRA lists

Disinformation Day online: Wednesday, Oct. 26th from 11 AM - 2 PM CT
by Matt Lease 18 Oct '22

18 Oct '22

Join us online next week for our first Disinformation Day ( https://www.disinfoday.com/): Wednesday, Oct. 26th from 11 AM - 2 PM CT. This event is free and open to the public. -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml ---------- Forwarded message --------- From: Good Systems - A UT Austin Grand Challenge < goodsystems(a)austin.utexas.edu> Date: Thu, Oct 6, 2022 at 11:01 AM Subject: Join Us: Disinformation Day on Oct. 26 <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Registration is now open for Disinformation Day! Hosted by Good Systems’ “Designing Responsible AI Technologies to Curb Disinformation” <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> research team, this virtual event brings together researchers and thought leaders working across disciplines and sectors to discuss approaches to curbing the spread of digital disinformation. Data scientist and engineer* Dr. David Corney <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>* will deliver a keynote on “How AI can help fact checkers to fight bad information.” The keynote will be followed by two panels exploring topics including bias and fairness and addressing the gap between fact checkers’ needs and existing technologies. Attendees are encouraged to participate in interactive Q&As following each session. This event is free and open to the public. Visit the event webpage to learn more about the agenda and speakers: www.disinfoday.com <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> . *WHEN: *Wednesday, Oct. 26th from 11 AM - 2 PM CT *WHERE: *Zoom Register <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *Get Involved.* *Good Systems <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>is a research grand challenge at The University of Texas at Austin. We're a team of information and computer scientiests, robotics experts, engineers, humanists and philosophers, policy and communication scholars, architects, and designers, all dedicated to embedding ethics in AI. Our goal is to design AI technologies that benefit society. Follow us on Twitter <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>, join us at our events <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>, learn about partnership opportunities, <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> and visit our news page <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> for updates.* Stay Connected [image: Twitter] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Website] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Email] <goodsystems(a)austin.utexas.edu> [image: YouTube] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *Copyright © 2022 Bridging Barriers - Vice President for Research - UT Austin, All rights reserved.* You are receiving this email because you opted in via our website. *Our mailing address is:* Bridging Barriers - Vice President for Research - UT Austin PO Box 7996 Austin, TX 78713-7996

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Junior Professor Position in the University of La Rochelle
by Antoine Doucet 18 Oct '22

18 Oct '22

[apologies for cross-posting] Dear all, This message is to highlight that a junior professor position in digital humanities remains open in La Rochelle, with all details here: https://euraxess.ec.europa.eu/jobs/842223 Please spread the word and don't hesitate to ask questions. Please also take notice of the now rather tight deadline! Cheers Antoine Doucet

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NLP Open Source Software Workshop (NLP-OSS) - Survey
by liling tan 18 Oct '22

18 Oct '22

Dear Corpora List community, The Workshop for NLP Open Source Software (NLP-OSS) had two editions in ACL 2018 and 2022. The primary goal of this workshop is to share insights on the engineering and community aspects of NLP OSS, which we seldom talk about in scientific publications. We are gathering information to know whether the community would like to see a new edition of the workshop for 2023. Please do help us know your thoughts on the workshop by filling up this questionnaire https://forms.gle/oSLvW2dBg1earz4v7 Regards, Liling On behalf of (future edition) NLP-OSS Organizers P/S: The results will be shared openly and most of our workshop organizations are done openly on https://github.com/nlposs/NLP-OSS

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3 Open Positions PostDoc and PhD at FIZ Karlsruhe on Knowledge Graphs, Ontologies, and Deep Learning
by harald.sack＠fiz-karlsruhe.de 18 Oct '22

18 Oct '22

3 Open Positions PostDoc and PhD at FIZ Karlsruhe [1] - Leibniz Institute for Information Infrastructure in the Information Service Engineering research group (FIZ ISE) [2] in Knowledge Graphs, Ontologies, and Deep Learning --------------------------------------------------------------------- Position 1: PostDoc on Knowledge Graphs, Deep Learning, Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… reference number 41/2022 Description of the Position: This position is part of the Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE). FIZ ISE investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. Job Description: - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses as well as co-supervision of FIZ ISE PhD students is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed PhD degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community-initiatives, for example in the context - of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in several of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Machine Learning and Deep Learning - Ontology Design and Ontological Engineering - Natural Language Processing Duration: The position is limited to two years with optional extension by two more years. The position is available from December 2022. We will consider applications until the position is filled. Deadline for application: Nov 15, 2022 Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… --------------------------------------------------------------------- Position 2 & 3: PhD or PostDoc Knowledge Graphs & Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… reference number: 43/2022 Description of the position: This position is part of the Platform MaterialDigital project (https://www.materialdigital.de/) on the sustainable digitalization of materials within the FIZ ISE research group [2]. Particular tasks within the project will be the design, implementation, alignment, and maintenance of ontologies for materials science engineering. - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses (as well as for PostDocs co-supervision of FIZ ISE PhD students) is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed master degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Knowledge of materials science is highly beneficial, but not mandatory Additionally for PostDocs: - An excellent completed PhD degree in Computer Science or a related field - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community initiatives, for example in the context of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in one (or more) of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Ontology Design and Ontological Engineering - Natural Language Processing - Machine Learning and Deep Learning Duration: The position is limited to two years with optional extension by two more years. The position is available by now. We will consider applications until the position is filled. Deadline for the application: Nov 15, 2022. Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… --------------------------------------------------------------------- [1] FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind. [2] Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE) investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. FIZ Karlsruhe is committed to promoting the careers of women and therefore looks forward to receiving applications by female candidates. FIZ Karlsruhe also positively welcomes applications from suitably qualified disabled people. Information on data protection for applicants can be found at www.fiz-karlsruhe.de/en/stellenanzeigen. For questions, please contact Prof. Dr. Harald Sack (Harald.Sack(at)fiz-karlsruhe.de).

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2nd call for abstracts: CL poster session at the 45th meeting of the German Linguistic Society (DGfS)
by Rainer Osswald 18 Oct '22

18 Oct '22

SECOND CALL FOR ABSTRACTS We would like to invite the submission of abstracts for the computational linguistics poster session of the 45th annual meeting of the German Linguistic Society (DGfS) hosted by the University of Cologne. Since the meeting brings together numerous subfields of linguistics, this is an opportunity to share your work with colleagues both in and out of the computational linguistics field. We invite submissions from all areas of computational linguistics and natural language processing, ranging from machine translation and information retrieval to speech and dialogue systems and cognitive modeling. We especially encourage students and junior researchers to participate. The poster session is organized by the Special Interest Group on Computational Linguistics of the DGfS (dgfs.de/cl). Conference homepage: https://dgfs2023.uni-koeln.de/ DATES - Abstract submission due: October 28, 2022 - Notification of acceptance: November 4, 2022 - Short abstract (for conference website/brochure) due: November 18, 2022 - Conference dates: March 8-10, 2023 SUBMISSION One page abstract (A4) in PDF format (12pt). Submissions can be in German or English. Please submit your abstract via email to: rainer.osswald(a)hhu.de -- Dr. Rainer Osswald Department of Computational Linguistics Heinrich-Heine-Universität Düsseldorf Universitätsstraße 1 40225 Düsseldorf, Germany https://user.phil.hhu.de/osswald/

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23rd International AItLA congress: abstract deadline extension
by Letizia Cirillo 18 Oct '22

18 Oct '22

Dear colleagues, we are writing to inform you that the abstract submission deadline for the 23rd AItLA conference has been extended until *November 3rd*. The conference topic will be *Multimodal communication: contexts, practices, resources*. Confirmed invited speakers include Simona Pekarek Doehler (Université de Neuchâtel) and Henk van den Heuvel (Radboud Universiteit). Please, find the call for papers and all relevant information here <http://www.aitla.it/10-primopiano/816-xxiii-congresso-internazionale-aitla-…> Feel free to share the call with your networks. Best, Letizia Cirillo (on behalf of the organizing committee)

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October 2022 Newsletter - LDC
by Penn LDC 17 Oct '22

17 Oct '22

In this newsletter: Membership Year 2023 publication preview LDC data and commercial technology development 30th Anniversary Highlight: ACE New publications: Rime-Cantonese: A Normalized Cantonese Jyutping Lexicon<https://catalog.ldc.upenn.edu/LDC2022L01> 2017 NIST Language Recognition Evaluation Training and Development Sets<https://catalog.ldc.upenn.edu/LDC2022S10> LORELEI Bengali Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2022T05> ________________________________ Membership Year 2023 publication preview The 2023 membership year is approaching and plans for next year’s publications are in progress. Among the expected releases are: * AIDA Ukrainian Broadcast and Telephone Speech Audio and Transcripts: 156 hours of Ukrainian conversational telephone speech and broadcast news with 1.2 million words of corresponding orthographic transcripts * 2019 NIST SRE: audiovisual and leaderboard challenge sets based on amateur videos and Tunisian Arabic telephone speech, respectively * DEFT English ERE: English text from assorted genres annotated for entities, relations, and events * Mixer 3 and Mixer 7 speech collections: thousands of hours of telephone speech and metadata from Mixer 3 (multiple languages) and Mixer 7 (Spanish, plus interviews and transcript readings) * CALLFRIEND Russian: 100 telephone conversations among native speakers, transcripts, and a lexicon, released in separate speech and text data sets * REMIX Telephone Collection: English telephone speech from 385 participants in previous Mixer studies * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources, and related tools in various languages (e.g., Indonesian, Swahili, Tagalog, Tamil, Zulu) Check your inbox in the coming weeks for more information about membership renewal.  LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. 30th Anniversary Highlight: ACE The objective of the Automatic Content Extraction (ACE) program was to develop the capability to extract meaning (entities, relations and events) from multimedia sources (Doddington, et al., 2004<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/lrec2004-ace-progra…>). LDC supported ACE by creating annotation guidelines, corpora and other linguistic resources, including training and test data for the common task research evaluations (Strassel, et al., 2003<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/acl2003-multilingua…>; Huang, et al., 2004<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/ijcnlp2004-shared-r…>). There are multiple data sets in LDC’s Catalog from the program. One that regularly makes the list of LDC’s top ten most licensed corpora is ACE 2005 Multilingual Training Corpus (LDC2006T06<https://catalog.ldc.upenn.edu/LDC2006T06>). This data set contains 1,800 files of mixed genre text in English, Arabic, and Chinese annotated for entities, relations, and events. The genres include newswire, broadcast news, broadcast conversation, weblog, discussion forums, and conversational telephone speech. Another popular data set, ACE 2004 Multilingual Training Corpus (LDC2005T09<https://catalog.ldc.upenn.edu/LDC2005T09>), consists of varied genre text in English (158,000 words), Chinese (307,000 characters, 154,000 words), and Arabic (151,000 words) annotated for entities and relations. ACE 2007 Multilingual Training Corpus (LDC2014T18<https://catalog.ldc.upenn.edu/LDC2014T18>) has the complete set of Arabic and Spanish training data for the 2007 ACE technology evaluation, specifically, Arabic and Spanish newswire data and Arabic weblogs annotated for entities and temporal expressions. Other ACE corpora in the Catalog include ACE 2005 SpatialML Annotations in English and Mandarin (LDC2008T03<https://catalog.ldc.upenn.edu/LDC2008T03>, LDC2010T09<https://catalog.ldc.upenn.edu/LDC2010T09>, and LDC2011T02<https://catalog.ldc.upenn.edu/LDC2011T02>), Datasets for Generic Relation Extraction (reACE)<https://catalog.ldc.upenn.edu/LDC2011T08>, TIDES Extraction (ACE) 2003 Multilingual Training Data<https://catalog.ldc.upenn.edu/LDC2004T09>, ACE-2 Version 1.0<https://catalog.ldc.upenn.edu/LDC2003T11>, ACE Time Normalization (TERN) 2004 English Training Data v 1.0 (TERN)<https://catalog.ldc.upenn.edu/LDC2005T07>, and more. For the full list of available ACE data, visit LDC’s Catalog<https://catalog.ldc.upenn.edu/search> and select the ACE research project in the search menu. For more information about linguistic resources for the ACE Program, including annotation guidelines, task definitions and other documentation, visit LDC's ACE webpage<https://www.ldc.upenn.edu/collaborations/past-projects/ace>. ________________________________ New publications: Rime-Cantonese: A Normalized Cantonese Jyutping Lexicon<https://catalog.ldc.upenn.edu/LDC2022L01> was developed by the Cantonese Computational Linguistics Infrastructure Working Group. It contains approximately 130,000 Cantonese character, word, and phrase entries paired with their corresponding romanized pronunciations in Jyutping<https://jyutping.org/en/>, a scheme created by The Linguistic Society of Hong Kong. Data was collected from a variety of physical and online sources. The character collection was subjected to a normalization process for differences between traditional and simplified Chinese, regional differences and other variants in Chinese characters, and differences in orthography. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * 2017 NIST Language Recognition Evaluation Training and Development Sets<https://catalog.ldc.upenn.edu/LDC2022S10> contains training and development material for the 2017 NIST Language Recognition Evaluation<https://www.nist.gov/itl/iad/mig/nist-2017-language-recognition-evaluation>. It consists of 2,100 hours of conversational telephone speech, broadcast conversation, broadcast narrow band speech, and speech from video in the following 14 languages, dialects, and varieties: Arabic (Iraqi, Levantine, Maghrebi, Egyptian), English (British, American), Polish, Russian, Portuguese (Brazilian), Spanish (Caribbean, European, Latin American Continental), and Chinese (Mandarin, Min Nan). The 2017 evaluation focused on differentiating closely related language pairs. Source data is from LDC's CALLFRIEND and Fisher telephone collections, the VAST video collection, various broadcast sources, and earlier NIST LRE test sets. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Bengali Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2022T05> was developed by LDC and is comprised of approximately 144 million words of Bengali monolingual text, 96,000 Bengali words translated from English data, and over 2 million words of found Bengali-English parallel text. Approximately 86,000 words were annotated for named entities and up to 25,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs and issues). Data was collected from news, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to “Receive Newsletter” under Account Options; or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Position as Senior Researcher in Interactive Conversational Systems at DFKI Saarbrücken, Germany
by Simon Ostermann 17 Oct '22

17 Oct '22

Position as Senior Researcher in Interactive Conversational Systems at DFKI Saarbrücken, Germany # More Information and Hiring System available here: https://jobs.dfki.de/en/vacancy/en-senior-researcher-in-interactive-convers… The MLT lab, led by Prof. Josef van Genabith, is looking for a senior researcher in Interactive Conversational Systems and Dialog Systems, to lead the Talking Robots Group (https://www.dfki.de/en/web/research/research-departments/multilinguality-an…)<Position%20as%20Senior%20Researcher%20in%20Interactive%20Conversational%20Systems%20at%20DFKI%20Saarbru?cken,%20Germany> at DFKI in Saarbrücken, Germany. The Talking Robots group currently has 5 members of staff and engages in national and international research and development projects on robot-assisted disaster response, multilingual dialogue, human-robot interaction and more. The successful applicant will: - lead and develop the Talking Robots group scientifically - coordinate basic research as well as industry-focused project acquisition - lead projects to successful completion - publish research results at top-tier NLP/HRI/ML conferences - engage in PhD research supervision as well as teaching graduate modules (max. one per term) - closely engage with the Machine Translation, Question Answering and Information Extraction and the Data and Resources groups at MLT. Profile: ideal candidates have - a PhD in Interactive Conversational/Dialog Systems, Speech and Multimodal Technologies, Machine Learning, Human Robot Interaction (HRI), Natural Language Processing (NLP), or Computer Science - a strong track record in research and publication at top-tier NLP/HRI/ML conferences (ACL, EMNLP, HRI, AAAI, ICML, ICASSP, INTERSPEECH etc.) - a strong track record in the acquisition and management of research and development projects excellent English (oral and written). German a plus, but not a requirement. We offer excellent working and research conditions with interesting research topics in an interdisciplinary team at an internationally renowned research institute. What you can expect: - The opportunity to shape and drive research in Interactive Conversational Systems and the Talking Robots group - Innovative projects and industry collaborations in language technology and AI - An innovative and professional working environment - While the initial contract is fixed term, permanent contracts are possible for successful team leads upon completion of the fixed term contract For more information about our MLT lab please also visit: https://www.dfki.de/web/forschung/forschungsbereiche/sprachtechnologie-und-… The position is 3 years fixed term initially. A permanent position is possible subsequently. The successful applicant is expected to start at DFKI during the first quarter of 2023. To apply, please upload a short motivation letter, CV, list of publications and projects, as well as contacts for two references in our hiring system. The deadline for the receipt of an application is Nov 15, 2022. For informal questions, please contact simon.ostermann(a)dfki.de<mailto:simon.ostermann@dfki.de> . The German Research Center for Artificial Intelligence (DFKI) is Germany's leading business-oriented research institution in the field of innovative software technologies based on artificial intelligence methods. In the international scientific community, DFKI ranks among the most recognized "Centers of Excellence" and currently is the biggest research center worldwide in the area of Artificial Intelligence and its application in terms of number of employees and the volume of external funds. The DFKI cooperates closely with national and international companies. DFKI encourages applications from people with disability; DFKI intends to increase the proportion of female employees in the field of science and encourages women to apply for this position. --- Dr. Simon Ostermann Lab Manager | Senior Researcher Multilinguality and Language Technology Lab DFKI, Saarbrücken Phone: +49 681 85775 5310 Web: https://simonost.github.io/home/ | http://www.dfki.de/mlt/ Campus Building D 3.1, Room 1.28 Stuhlsatzenhausweg 3 D-66123 Saarbrücken, Germany ----------------------------------------------------------------------- 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.-Ing. Gabriël Clemens | Amtsgericht Kaiserslautern, HRB 2313 -----------------------------------------------------------------------

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SCLA conference 2023 - Call for Papers
by Fried, Mirjam 17 Oct '22

17 Oct '22

Dear All, we’re very pleased to confirm that the 2023 SCLA conference will take place in June 20123 and we hereby issue the full call for papers, see below. With greetings to all and heartfelt thanks to Steven Clancy for serving as the local organizer, Mirjam & Mateusz Slavic Cognitive Linguistics Conference (SCLC-2023): first announcement and call for papers The Slavic Cognitive Linguistics Association (SCLA; https://slavic.fas.harvard.edu/scla) will hold its 18th conference on June 1 – 3, 2023 at Harvard University. The conference will be locally organized and hosted by Steven Clancy and will be held in an on-site format. Confirmed keynote speakers at SCLC-2023 Valentina Apresjan, HSE University, Moscow Neil Bermel, University of Sheffield Catherine Caldwell-Harris, Boston University Call for papers We invite abstracts for 20+10 minute presentations on any topic of relevance to Slavic Cognitive Linguistics. Abstracts should be based on work that has not yet been published. We especially encourage submissions from young researchers. Abstracts can be written in English or in any Slavic language and should not be longer than 500 words, including references. Each individual may be involved in a maximum of two abstracts (maximum one as sole author or as the first author). Abstracts will be evaluated anonymously so please refrain from any self-identification in the body of the abstract. The deadline for abstract submission is January 15, 2023. Abstracts should be submitted via google forms. Please follow this link: https://forms.gle/nU7NaJboEKxyNc6L8 We also invite proposals for 2-3 practically oriented workshops on topics of interest to the SCLA community. The ideas for such workshops should be submitted to the organizers (fried(a)ff.cuni.cz<mailto:fried@ff.cuni.cz>) by January 15, 2023. Authors will be notified of acceptance / rejection by February 10, 2023. Conference website: https://slavic.fas.harvard.edu/2023-conference Conference fees: Regular $80 Student (incl. PhD students) $50 Important dates January 15, 2023: abstract submission deadline February 10, 2023: notification of acceptance / rejection March 31, 2023 : early bird registration deadline May 15, 2023: final payment deadline for registration fees June 1-3, 2023: SCLA conference Travel & Accommodation We will provide detailed travel and accommodation information later. Organizing Committee Mirjam Fried (Charles University, Prague, Czech Republic) Mateusz-Milan Stanojević (University of Zagreb, Chroatia) Steven Clancy (Harvard University, USA) If you have any questions concerning SCLC-2023 (don’t hesitate to contact the local organizer, Steven Clancy, at sclancy(a)fas.harvard.edu<mailto:sclancy@fas.harvard.edu>

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PhD Studentships in NLP and Cognitive Science, University of Edinburgh
by Alex Lascarides 17 Oct '22

17 Oct '22

PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE SCIENCE Institute for Language, Cognition and Computation School of Informatics University of Edinburgh The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2023. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: * Natural language processing and computational linguistics * Machine Translation * Speech technology * Dialogue, multimodal interaction, language and vision * Computational Cognitive Science , including language and speech, decision-making, learning and generalization * Social Media and Computational Social Science * Human-Computer interaction, design informatics, assistive and educational technology * Information retrieval and visualization Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 16,062 (2022/23 rates) per year and tuition fees. Awards increase every year, typically with inflation. Studentships are available for UK, EU, and non-EU nationals. Applicants should have a strong undergraduate degree or equivalent in computer science, cognitive science, AI, or a related discipline. For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult: http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc Details regarding the PhD programme and the application procedure can be found at: http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd There are TWO DEADLINES for applications to receive full consideration: round 1: 25th November 2022 round 2: 27th January 2023 We strongly recommend that non-UK applicants submit their applications in round 1, to maximise their chances of funding. Please direct inquiries to the PhD admissions team at ilcc-admissions(a)inf.ed.ac.uk. Please note that the 3-year ILCC PhD program is distinct from the UKRI Centre for Doctoral Training in Natural Language Processing, which offers a 4-year PhD with integrated study: http://nlp-cdt.ac.uk/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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