June 2022 - Corpora - ELRA lists

[Corpora-List]2nd CFP - SIMBig 2022, Peru (AI, Data Science, NLP, ML)
by Juan Antonio Lossio-Ventura 21 Jun '22

21 Jun '22

> [Apologies for cross-posting] > > ================================================================= > 2ND CALL FOR PAPERS - SIMBig 2022 > ================================================================= > > SIMBig 2022 - 9th International Conference on Information Management and Big Data > Where: Universidad Nacional Mayor de San Marcos, Lima, PERU > When: November 16 - 18, 2022 > Website: http://simbig.org/SIMBig2022/ <http://simbig.org/SIMBig2022/> > > ================================================================= > > OVERVIEW > ---------------------------------- > > SIMBig 2022 seeks to present new methods of Artificial Intelligence (AI), Data Science, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS > ------------- > > Leman Akoglu, Carnegie Mellon University, USA > Jiang Bian, University of Florida, USA > Rich Caruana, Microsoft, USA > Dilek Hakkani-Tur, Amazon Alexa AI, USA > Wang-Chiew Tan, Facebook AI, USA > Andrew Tomkins, Google, USA > Bin Yu, University of California, Berkeley, USA > > IMPORTANT DATES > ------------- > > August 05, 2022 --> Papers submission deadline > September 09, 2022 --> Notification of acceptance > October 07, 2022 --> Camera-ready versions > November 16 - 18, 2022 --> Conference held in Lima, Peru > > PUBLICATION AND TRAVEL AWARDS > ------------- > > All accepted papers of SIMBig 2022 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899>. > > > The best 8-10 papers of SIMBig 2022 (tracks including) will be selected to submit an extension to be published with the Springer SN Computer Science Journal <https://www.springer.com/journal/42979> > Thanks to the support of the North American Chapter of the Association for Computational Linguistics (NAACL) <http://naacl.org/>, SIMBig 2022 will offer 4 student travel awards for the best papers. > > > > TOPICS OF INTEREST > ------------- > > SIMBig 2022 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Data Science > Machine Learning > Natural Language Processing > Semantic Web > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > OLAP and Business intelligence > Data-driven Software Engineering > > SPECIAL TRACKS > ------------- > > SIMBig 2022 proposes three special tracks in addition to the main conference: > > ANLP <https://simbig.org/SIMBig2022/en/anlp.html> - Applied Natural Language Processing > DISE <https://simbig.org/SIMBig2022/en/dise.html> - Data-drIven Software Engineering > SNMAM - Social Network and Media Analysis and Mining > > CONTACT > ------------- > > SIMBig 2022 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>) >

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[Corpora-List]Call for Participation: Shared Task on "Survey Variable Identification in Social Science Publications"
by Simone Paolo Ponzetto 21 Jun '22

21 Jun '22

Dear colleagues, we hope that this is interesting for some of you working at the intersection of NLP, CSS and Scholarly Data Mining — we just released the training data and look forward to your participation, thanks! Best - Simone _____________________________________________ Call for participation: Shared task on "Survey Variable Identification in Social Science Publications” to be held as part of the evaluation campaign of the third workshop on Scholarly Document Processing (SDP) at Coling 2022. Shared Task URL: https://vadis-project.github.io/sv-ident-sdp2022 Workshop URL: https://sdproc.org/2022 Important dates: - Trial data release: March 16, 2022 - Training data release: June 6, 2022 - Deadline for registration: July 4, 2022 - Test data release: July 18, 2022 - System runs due: July 25, 2022 - Workshop papers due: August 15, 2022 - Camera-ready papers due: September 5, 2022 - SDP workshop at COLING 2022: October 16/17, 2022 Contact: For any questions on the shared task please contact us on: https://groups.google.com/g/svident2022 _____________________________________________ -- Simone Paolo Ponzetto Data and Web Science Group University of Mannheim, Germany http://dws.informatik.uni-mannheim.de/ponzetto Tel: +49 621 181 2647

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[Corpora-List]The New Directions in Analyzing Text as Data (TADA) Conference
by heather froehlich 20 Jun '22

20 Jun '22

*The New Directions in Analyzing Text as Data (TADA) Conference* October 6-7, 2022 at Cornell Tech, Roosevelt Island, New York City Deadline for abstract submission: July 18, 2022 Form for abstract submission: https://forms.gle/XSarfYQGAXArACEn9 The New Directions in Analyzing Text as Data (TADA) meeting is a leading forum for research on the study of politics, society, and culture through computational analysis of documents. Recent advances in NLP have the potential to revolutionize how we study human society. But using these tools effectively, reliably, and equitably requires continuous dialog between experts across computational methods, social science, and the humanities. TADA 2022 invites applications for research presentations on new work related to text-as-data methods and applications. TADA is an interdisciplinary conference, drawing scholars from across the social sciences, computer and information science, and related fields. Our programs from past meetings (e.g. TADA 2021 <https://tada2021.org/>) show the wide range of work presented at our conference. Key Dates: Monday July 18, abstract submission Friday Aug 5, notification of selection Friday Aug 12, registration for participation Thursday Sep 22, full papers for discussants Thursday Oct 6 – Friday Oct 7, conference This year’s conference will be held at Cornell Tech on Roosevelt Island and is sponsored by the Cornell Center for Social Science and the Cornell Center for Data Science for Enterprise and Society. Proposals are due July 18, and consist of a brief, 300-word abstract in text format rather than a full paper. TADA 2022 is a non-archival conference; there are no formal proceedings, and papers presented at the conference will not be distributed publicly by the conference. Presenters are expected to provide a paper to their discussant two weeks before the conference. We welcome any work, so long as it hasn’t been previously presented at a TADA conference. We also welcome individuals to volunteer to serve as discussants. We are planning to hold TADA 2022 in a hybrid format. Participants who are willing to travel to NYC will attend the conference in person, while a remote option will be provided for the other participants. The conference will consist of oral presentations and a poster session with Ph.D. students. The conference will take place on October 6 and 7 during Eastern Daylight Time business hours. In addition to oral presentations and posters TADA 2022 will have a doctoral consortium. PhD students will be matched with experienced mentors from complementary fields to offer critiques to specific work and to provide guidance in how to do effective interdisciplinary work. Because in-person space is limited, we ask all interested participants to apply to attend the conference. There will be a separate registration for participants after the abstract review process. Diversity leads to stronger science. We actively seek, welcome, and encourage people with diverse backgrounds, experiences, and identities to apply and attend. While many participants have attended TADA for years, we also eagerly welcome new researchers! We anticipate having lodging options available for conference participants to reserve directly. Limited travel funds will be made available for the contact author of accepted papers and posters. Priority for this funding will be given to scholars who lack their own travel funds. We will provide guidance on booking rooms and accessing travel funds with your conference acceptance. For questions write to info(a)tada2022.org -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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[CFP] 2022 AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI)
by Ross Mead 20 Jun '22

20 Jun '22

[CFP] 2022 AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI) The ninth annual AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI) will take place on November 17-19, 2022, at the Westin Arlington Gateway in Arlington, VA, USA. We are planning a hybrid in-person and online format to reach more people who would not be able to attend in person. Paper submissions will be due on July 31, 2022 and can be made through https://easychair.org/my/conference?conf=fss22. For more information and updates, please see below or visit the symposium website at https://ai-hri.github.io. Overview The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) symposium has been a successful venue of discussion and collaboration on AI aimed at HRI since 2014. This year, after a review of the achievements of the AI-HRI community over the last decade in 2021, we are focusing on a visionary theme: exploring the future of AI-HRI. Accordingly, we added a Blue Sky Ideas track to foster a forward-thinking discussion on future research at the intersection of AI and HRI. As always, we appreciate all contributions related to any topic on AI/HRI and welcome new researchers who wish to take part in this growing community. With the success of past symposia, AI-HRI impacts a variety of communities and problems, and has pioneered the discussions in recent trends and interests. This year's AI-HRI Fall Symposium aims to bring together researchers and practitioners from around the globe, representing a number of university, government, and industry laboratories. In doing so, we hope to accelerate research in the field, support technology transition and user adoption, and determine future directions for our group and our research. Topics - Future of AI-HRI and “Blue Sky” ideas - Ubiquitous HRI, including AR and VR - Ethics in HRI - Trust and explainability in HRI - Robot planning and decision-making for HRI - Architectures and systems supporting autonomous HRI - Interactive task learning and planning - Interactive dialog systems and natural language - Field studies, experimental, and empirical HRI - Safety and human comfort in HRI - Software tools for autonomous HRI - AI for social robots - AI for physical HRI - Knowledge representation and reasoning to support HRI - HRI in teams and groups - Replication studies and reproducibility - Test methods and metrics for AI-HRI - ...and many other topics relevant to the application of Artificial Intelligence to Human-Robot Interaction! Format This year's symposium will focus on identifying the future of the field of AI-HRI, ranging from research directions to establishing a year-long collaborating community. However, symposium participants will still be invited to present their own work as it contributes to understanding what matters towards these goals. Symposium participants presenting their work will be encouraged to include a perspective on the reproducibility and ethics in HRI, though all research on AI-HRI will be considered. We will also continue to include community-building efforts in the schedule: position talks to incite discussion on new and controversial views; informal, focused discussions during poster sessions; breakout discussion sessions in smaller groups; and a demo session, which will emphasize live robot and AR/VR demonstrations. Such discussions and demos are ideal within the symposium community, which is small enough that we can all learn each other's names and faces, but large enough to draw an audience of people who have a real impact in our field. These discussions give perfect opportunities for new researchers in the field to meet senior members in a more informal setting, and become more involved in future collaboration within the community. This year, we have the opportunity to gather in person after two years of being virtual. For inclusiveness, we are planning in advance to implement a hybrid in-person and online format to reach more people who would not be able to attend in person. The diversity chair will lead the efforts for creating an inclusive community and will work with AAAI to manage the logistics for hybrid participation. Submissions - Full papers (6-8 pages) highlighting state-of-the-art HRI-oriented AI research, HRI research focusing on the Future of AI-HRI, the use of autonomous AI systems, or the implementation of AI systems in commercial HRI products. - Short papers (2-4 pages) outlining new or controversial views on AI-HRI research or describing ongoing AI-oriented HRI research. - Tool papers (2-4 pages) describing novel software, hardware, or datasets of interest to the AI-HRI community. - Blue Sky papers (2-4 pages) fostering a forward-thinking discussion on the future at the intersection of AI and HRI. Symposium participants presenting their work are encouraged to include a perspective on the reproducibility and ethics in HRI, though all research on AI-HRI will be considered. All accepted papers will be presented orally and published in the proceedings through ArXiv. Authors will be notified as to whether they have been assigned a “full-length” or “lightning” presentation slot. Please see the AAAI Author Kit ( https://www.aaai.org/Publications/Templates/AuthorKit22.zip) for paper templates to ensure that your submission has the proper formatting. Contributions may be submitted through EasyChair now: https://easychair.org/my/conference?conf=fss22. For any extenuating circumstances that may result in a delayed submission, please contact us at ai4hri(a)gmail.com. Important Dates - Submission deadline: July 31, 2022 - Notification of acceptance: September 6, 2022 - Camera-ready deadline: October 9, 2022 - Registration deadline: October 14, 2022 - Symposium: November 17-19, 2022 Diversity & Inclusion at AI-HRI AI-HRI is committed to growing the diversity of our community and is actively pursuing ways to make our community more inclusive. Our efforts include diversifying the participation among our program committee, invited speakers, paper authors, and symposium attendees. If you are having difficulties, please contact us at ai4hri(a)gmail.com. Organizing Committee - Zhao Han (General Co-Chair, Colorado School of Mines, USA) - Emmanuel Senft (General Co-Chair, University of Wisconsin-Madison, USA) - Muneeb I. Ahmad (Communication Co-Chair, Swansea University, UK) - Shelly Bagchi (Communication Co-Chair, National Institute of Standards and Technology, USA) - Justin W. Hart (University of Texas at Austin, USA) - ‪Daniel Hernández García (Heriot-Watt University, UK) - Boyoung Kim (Program Co-Chair, George Mason University, USA) - Matteo Leonetti (King’s College London, UK) - Ross Mead (Semio, USA) - Reuth Mirsky (Bar Ilan University, Israel) - Ahalya Prabhakar (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland) - Ruchen Wen (Program Co-Chair, Colorado School of Mines, USA) - Jason R. Wilson (Diversity & Sponsorship Chair, Franklin & Marshall College, USA) - Amir Yazdani (Publicity Chair, University of Utah Robotics Center, USA) - Megan L. Zimmerman (National Institute of Standards and Technology, USA) -- Ross Mead, PhD Founder and CEO ross(a)semio.ai +1 (618) 696-2600 <https://semio.ai>

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[Corpora-List]unsubscribe me please from this list
by I G 20 Jun '22

20 Jun '22

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[Corpora-List]First Call for Papers Global WordNet Conference 2023
by Itziar Gonzalez Dios 20 Jun '22

20 Jun '22

[Apologies for cross posting] 1st Call for Papers 12th International Global Wordnet Conference Donostia / San Sebastian, Basque Country 23-27, 2023 Global Wordnet Association: www.globalwordnet.org Conference website: https://hitz.eus/gwc2023 The Global Wordnet Association is pleased to announce the 12th International Global Wordnet Conference (GWC2023) in Donostia / San Sebastian (Spain) hosted by HiTZ, Basque Center for Language Technology at the University of the Basque Country. NOTE: COVID-19 allowing, the conference will be in person only. Organisers: Begoña Altuna, Itziar Aldabe, Xabier Arregi, Itziar Gonzalez-Dios, Aritz Farwell and Esther Miranda. Details about the Association and the full announcement for the conference can be found on the conference website: https://hitz.eus/gwc2023 We invite submissions with original contributions addressing, but not limited to, the topics listed below. Proposals for tutorials are welcome as well. * Conference Topics* Lexical semantics and meaning representation * Critical analysis and applications of lexical and semantic relations * Proposed new relations * Definitions, semantic components, co-occurrence and frequency statistics * Word, Sense and Context Embeddings * Necessity and completeness issues * Ontology and wordnet * Other lexicographical and lexicological questions pertaining to wordnet-style meaning representation * Wordnets and other modalities Architecture of lexical databases * Language independent and language dependent components * Integration of multi-wordnets in research infrastructures (like CLARIN, ELG, etc.) * Wordnets and Linked Open Data (LOD) Tools and methods for wordnet development * User and Data entry interfaces * Methods for constructing, extending and enriching wordnets * Methods for linking wordnets to other lexical and semantic resources * Methods for leveraging existing wordnets and semantic networks with large language models Applications of wordnet * Word sense disambiguation * Text generation * Commonsense reasoning * Machine translation * Information extraction and retrieval * Document structuring and categorisation * Automatic hyperlinking * Language pedagogy * Psycholinguistic applications * Embeddings and pretrained language models * Probing large neural language models Standardization, distribution and availability of wordnets and wordnet tools. * Submissions* Submissions will fall into one of the following categories (page limits exclude references): * long papers: 8 pages max, 30 minutes presentation * short papers: 5 pages max; 15 minutes presentation * project reports: 5 pages max., 10 minutes presentation * demonstrations : 5 pages max, with an additional 3 pages screen dumps or images; 20 minutes presentation Submissions should be anonymous and any identifying information must be removed. Authors must state the preferred category, though acceptance may be subject to change in the category of the presentation, e.g. a long paper submission may be accepted as a short paper. Final papers should be submitted in electronic form (PDF only). Paper submission site will be online soon. Paper submissions must use the official ACL style templates, which are available from here (Latex and Word). Please follow the paper formatting guidelines general to “*ACL” conferences available here. Authors may not modify these style files or use templates designed for other conferences. * Important Dates* September 30, 2022 Deadline for paper submission November 18, 2022 Notification of acceptance December 1, 2022 Registration opens December 23, 2022 Deadline author registration, final version paper January 23-27, 2023 Conference * Proceedings* Conference proceedings will be open access and downloadable from the GWA website. The proceedings will have an ISBN and be published in the ACL anthology. Papers are only included in the proceedings if at least one author has registered. Inclusion of accepted submissions into the final program and the proceedings is contingent upon at least one author’s registration. Late registration and on-site registration for participants is possible without inclusion of the paper and without presentation. * Conference Chairs* German Rigau - german.rigau(a)ehu.eus Francis Bond - bond(a)ieee.org * Local Organizing Chairs* Begoña Altuna - begona.altuna(a)ehu.eus Itziar Aldabe - itziar.aldabe(a)ehu.eus Xabier Arregi - xabier.arregi(a)ehu.eus Itziar Gonzalez-Dios - itziar.gonzalezd(a)ehu.eus Aritz Farwell - asfarwell(a)ehu.eus Esther Miranda - esther.miranda(a)ehu.eus * Program Committee (to be confirmed and extended)* Adam Pease, Articulate Software Ales Horak, Masaryk University Alexandre Rademaker, IBM Research Brazil and EMAp/FGV Bolette Pedersen, University of Copenhagen Christiane Fellbaum, Princeton University Darja Fiser, University of Ljubljana David Lindemann, IWiSt, University of Hildesheim Diptesh Kanojia, IIT Bombay Eneko Agirre, University of the Basque Country Ewa Rudnicka, Wrocław University of Technology Francis Bond, Palacký University Gerard De Melo, Rutgers University German Rigau, IXA Group, UPV/EHU Haldur Oim, University of Tartu Heili Orav, University of Tartu Hugo Gonçalo-Oliveira, Department of Informatics Engineering of the University of Coimbra Janos Csirik, University of Szeged John Mccrae, National University of Ireland, Galway Kadri Vider, University of Tartu Kevin Scannell, Saint Louis University Kyoko Kanzaki, Otemon Gakuin University Maciej Piasecki, Department of Computational Intelligence, Wroclaw University Marten Postma, Vrije Universiteit Amsterdam Paul Buitelaar, National University of Ireland, Galway Piek Vossen, VU University Amsterdam. Sanni Nimb, The Danish Society for Language and Literature Shan Wang, The Education University of Hong Kong Shu-Kai Hsieh, National Taiwan Normal University Sonja Bosch, Department of African Languages, University of South Africa Thierry Declerck, DFKI, Saarbruecken Tim Baldwin, The University of Melbourne Tomaž Erjavec, Dept. of Knowledge Technologies, Jožef Stefan Institute Umamaheswari Vasanthakumar, Nanyang Technological University Valeria Depaiva, Natural Language and AI Research Laboratory of Nuance Communications, Inc. Verginica Mititelu, Romanian Academy Research Institute for Artificial Intelligence

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[Corpora-List]Two postdoc positions in Transfer Learning for Demographic Factors from September 2022
by mail＠dirkhovy.com 20 Jun '22

20 Jun '22

2-year Postdoc position in Natural Language Processing on Incorporating Demographic Factors into Natural Language Processing Models Funded by ERC Starting grant INTEGRATOR <https://milanlproc.github.io/project/integrator/> Start: from September 2022 Dirk Hovy, Bocconi University and MilanLP group Posting: https://bit.ly/3tk5UR6 <https://bit.ly/3tk5UR6> Application Form: https://bit.ly/3Q5j7qv <https://bit.ly/3Q5j7qv> Project: The goal of the INTEGRATOR project is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. This will improve performance of existing tools for all users, reduce demographic bias, and enable completely new applications. Language reflects demographic factors like our age, gender, etc. People actively use this information to make inferences, but current language technology (NLP) fails to account for demographics, both in language understanding (e.g., sentiment analysis) and generation (e.g., chatbots). This failure prevents us from reaching human-like performance, limits possible future applications, and introduces systematic bias against underrepresented demographic groups. Solving demographic bias is one of the greatest challenges for current language technology. Failing to do so will limit the field and harm public trust in it. Bias in AI systems recently emerged as a severe problem for privacy, fairness, and ethics of AI. It is especially prevalent in language technology, due to language's rich demographic information. Since NLP is ubiquitous (translation, search, personal assistants, etc.), demographically biased models creates uneven access to vital technology. Despite increased interest in demographics in NLP, there are no concerted efforts to integrate it: no theory, data sets, or algorithmic solutions. INTEGRATOR will address these by identifying which demographic factors affect NLP systems, devising a bias taxonomy and metrics, and creating new data. These will enable us to use transfer and reinforcement learning methods to build demographically aware input representations and systems that incorporate demographics to improve performance and reduce bias. Demographically aware NLP will lead to high-performing, fair systems for text analysis and generation. This ground-breaking research advances our understanding of NLP, algorithmic fairness, and bias in AI, and creates new research resources and avenues. Successful candidates will work actively on novel directions in NLP, machine learning, and neural networks for representation learning, and transfer learning in various languages, and collaborate closely with Prof. Hovy as well as the lab. The candidates will innovate in both NLP and social sciences. Successful candidates will have to prove * excellent programming skills in Python (additional languages like C++, R, Julia are a plus), * knowledge of current neural network models for transfer and few-shot learning and * implementation tools for neural networks (e.g. PyTorch, Tensorflow, etc.) * prove strong track record in top-tier venues in the field of NLP/ Machine Learning. * fluency in spoken and written English. Knowledge of Italian is NOT a requirement. INFORMATION * Application deadline: July 7 2022 * Skype interviews will take place during July 2022 * Starting date: from September 2022, or any time thereafter * Duration: 2 years, 1 year extension possible * Salary: 42k EUR gross per annum (median salary in Milan is 37k EUR). Applicants from outside Italy may qualify for a researcher taxation scheme with reduced tax load. HOW TO APPLY The official application must be sent via https://bit.ly/3Q5j7qv <https://bit.ly/3Q5j7qv> Informal enquiries can be sent by email to Dirk Hovy (dirk.hovy(a)unibocconi.it <mailto:dirk.hovy@unibocconi.it>). You can find more information about the call here: https://bit.ly/3tk5UR6 <https://bit.ly/3tk5UR6>

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Fully-funded PhD position “Computer Science: Computational Linguistics & Corpus Annotation” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany
by Jennifer D'Souza 20 Jun '22

20 Jun '22

**Deadline fast-approaching** Dear colleagues and friends, The Data Science and Digital Libraries <https://www.tib.eu/en/research-development/research-groups-and-labs/data-sc…> at the TIB – Leibniz Information Centre for Science and Technology and University Library <https://www.tib.eu/en/> invites applications for a Research Associate/PhD Candidate with the following specializations: Natural Language Processing; Computational Linguistics; Corpus Annotation. *Description: * The PhD topics will be in the context of the Open Research Knowledge Graph ( https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for conducting independent and original scientific research involving corpus development and annotation in organizing research contributions in the ORKG in a structured, semantic way, so other researchers can get a quick overview on the state-of-the-art in the field. You will participate in local, national and international collaboration activities. Given the multidisciplinary nature of the programme, we encourage applicants with a strong curiosity and interest in Science to apply. The tasks will focus on - Collaborating with researchers from different disciplines to gain familiarity with research problems and their contribution descriptions expressed in scholarly literature. - Conceptually designing, modelling and implementing ontology-based knowledge representations for crowdsourcing of the Open Research Knowledge Graph. - Annotation and curation of multidisciplinary scholarly contribution descriptions. *Application Deadline:** June 28th 2022* *Please apply online here:* https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/ste… *Contact Information: *Dr. Jennifer D'Souza *Email:* jennifer.dsouza(a)tib.eu Best regards, Jennifer

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[Corpora-List]Call for Participation: Shared Task on Indian Language Summarization (ILSUM 2022)
by Parth Mehta 20 Jun '22

20 Jun '22

Apologies for the multiple postings. ---- *Indian Language Summarization (ILSUM 2022)* Website: https://ilsum.github.io/ To be organized in conjunction with FIRE 2022 (fire.irsi.res.in) 9th-13th December 2022 (Hybrid Event, hosted in Kolkata) Registration Deadline*: 22nd July 2022* ------------------------------------------------------- The first shared task on Indian Language Summarization (ILSUM) aims at creating an evaluation benchmark dataset for Indian Languages. While large-scale datasets exist for a number of languages like English, Chinese, French, German, Spanish, etc. no such datasets exist for any Indian languages. Through this shared task, we aim to bridge the existing gap. In the first edition, we cover two major Indian languages Hindi and Gujarati alongside Indian English, a widely recognized dialect of the English Language. It is a classic summarization task, where we will provide ~10,000 article-summary pairs for each language and the participants are expected to generate a fixed-length summary. *Timeline* ------------- 8th June - Task announced and Registrations open 22nd June - Training Data Release 1st August - Test Data Release 8th August - Run Submission Deadline 15th August - Results Declared 15th September - Working notes due 9th-13th December - FIRE 2022 (Hybrid Event hosted at Kolkata) *Organisers* ---------------- Bhavan Modha, University of Texas at Dallas, USA Shrey Satapara, Indian Institute of Technology, Hyderabad, India Sandip Modha, LDRP-ITR, Gandhinagar, India Parth Mehta, Parmonic, USA *For regular updates subscribe to our mailing list: **ilsum(a)googlegroups.com <+ilsum(a)googlegroups.com>* Regards, Parth Mehta Co-organiser, ILSUM 2022

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[Corpora-List]automatic stance detection
by Florentina Hristea 20 Jun '22

20 Jun '22

Dear all, On behalf of “Frontiers”, the third most cited publisher, I’m happy to let you know that a new research topic has been launched and will be supervised by Cornelia Caragea and myself: automatic stance detection. Contributions to “Frontiers in Artificial Intelligence” and/or “Frontiers in Big Data” concerning this hot topic are invited. We are collaborating primarily with “Frontiers in Artificial Intelligence”, but both types of submissions are possible – as you will see in the research topic’s presentation page. Stance detection in natural language texts deals with determining the position (or stance) of a text producer towards a target or a set of targets. This Research Topic specifically addresses all aspects related to stance detection and its applications, both from a theoretical and practical viewpoint. We are looking for contributions in the form of Review, Original Research, Brief Research Report, Perspective, Technology and code etc. submission articles on substantial, original, and unpublished research in the following areas, including, but not limited to: • sentiment analysis in stance detection • perspective identification in stance detection • sarcasm/irony detection in stance detection • controversy detection in stance detection • argument mining in stance detection • biased language detection in stance detection • novel algorithms for stance detection: feature-based machine learning approaches, deep learning approaches, and ensemble learning approaches • novel datasets for stance detection You can check this research topic’s detailed presentation, submission deadlines and instructions for authors at: https://www.frontiersin.org/research-topics/40998/automatic-stance-detection Please note that submitting papers is possible even in the absence of a previously submitted abstract (although we would appreciate knowing what to expect in advance). Submission deadline can be extended by one month (but no longer) upon request. For any questions regarding the topic itself, submission etc., please don’t hesitate to contact me (fhristea(a)fmi.unibuc.ro<mailto:fhristea@fmi.unibuc.ro>). Looking forward to receiving your contributions, Florentina Hristea https://cs.unibuc.ro/~fhristea/

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2024

2023

2022

Corpora June 2022