- Corpora - ELRA lists

[CfP] ACM TOIS Efficiency in Neural IR
by Maria Maistro 12 Aug '22

12 Aug '22

Call for Papers - ACM Transactions on Information Systems Special Section on Efficiency in Neural Information Retrieval Full Call of Papers: https://dl.acm.org/journal/tois/calls-for-papers Overview 🧐 -------------------------- The aim of this Special Section is to engage with researchers in Information Retrieval, Natural Language Processing, and related areas and gather insight into the core challenges in measuring, reporting, and optimizing all facets of efficiency in Neural Information Retrieval (NIR) systems, including time-, space-, resource-, sample- and energy- efficiency, among other factors. This special section solicits perspectives from active researchers to advance our understanding of and to overcome efficiency challenges in NIR. In particular, researchers are encouraged to examine the ever-growing model complexity through appropriate empirical analysis, to propose models that require less data, computational resources, and energy for training and fine-tuning with similarly efficient inference, to ask if there are meaningful simplifications of the existing training processes or model architectures that lead to comparable quality, and explore a multi-faceted evaluation of NIR models from quality to all dimensions of efficiency with standardized metrics. Topics 🔍 -------------------------- We welcome submissions on the following topics, including but not limited to: * Novel NIR models that reach competitive quality but are designed to provide efficient training or inference; * Efficient NIR models for decentralized IR tasks such as conversational search; * Efficient NIR models for IR-related tasks such as question answering and recommender systems; * Efficient NIR for resource-constrained devices; * Scalability of NIR systems; * Efficient NIR for text and cross-modal search; * Strategies to optimize training or inference of existing NIR models; * Sample-efficient training of NIR models; * Efficiency-driven distillation, pruning, quantization, retraining, and transfer learning; * Empirical investigation of the complexity of existing NIR models through an analysis of quality, interpretability, robustness, and environmental impact; * Evaluation protocols for efficiency in NIR. Important Dates 🔥 -------------------------- * Open for Submissions: Aug 1, 2022 * Submissions deadline: Dec 31, 2022 * First-round review decisions: Mar 31, 2023 * Deadline for minor revision submissions: Apr 30, 2023 * Deadline for major revision submissions: Jun 30, 2023 * Notification of final decisions: Jul 31, 2023 * Tentative publication: 2023 Guest Editors 📚 -------------------------- * Dr. Sebastian Bruch, Pinecone, United States of America * Prof. Claudio Lucchese, Ca' Foscari University of Venice, Italy * Dr. Maria Maistro, University of Copenhagen, Denmark * Dr. Franco Maria Nardini, ISTI-CNR, Italy ——— Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark

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[CfP] TREC Health Misinformation Track 2022
by Maria Maistro 12 Aug '22

12 Aug '22

Call for Participation - TREC Health Misinformation Track 2022 https://trec-health-misinfo.github.io Overview 🧐 -------------------------- Web search engines are frequently used to help people make decisions about health-related issues. Unfortunately, the web is filled with misinformation regarding the efficacy of treatments for health issues. Search users may not be able to discern correct from incorrect information, nor credible from non-credible sources. As a result of finding misinformation deemed by the user to be useful to their decision making task, they can make incorrect decisions that waste money and put their health at risk. The TREC Health Misinformation track fosters research on retrieval methods that promote reliable and correct information over misinformation for health-related decision making tasks. Tasks 💼 -------------------------- * Ad-hoc Retrieval Task: design a ranking model that promotes credible and correct information over incorrect information; * Answer Prediction Task: predict the answer to the topic’s stance. Guidelines 📋 -------------------------- * Corpus: noclean version of the C4 dataset (https://huggingface.co/datasets/allenai/c4); * Topics: about consumer health search (people seeking health advice online); * Runs: runs may be either automatic or manual with the standard TREC run format. Detailed guidelines: https://trec-health-misinfo.github.io Important Dates 🔥 -------------------------- * Runs due from participants: August 28, 2022 * Evaluation results returned: End of September 2022 * Notebook paper due: October 2022 * TREC 2022 Conference: November 14-18, 2022 * Final paper due: February 2023 Organization 👔 -------------------------- * Charles Clarke, University of Waterloo * Maria Maistro, University of Copenhagen * Mark Smucker, University of Waterloo ——— Maria Maistro, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark

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Research Fellow in Spatial Reasoning -- interpreting qualitative spatial information in textual corpora (University of Leeds, UK).
by Anthony Cohn 11 Aug '22

11 Aug '22

Research Fellow in Spatial Reasoning University of Leeds Do you have an interest in interdisciplinary research involving developing and applying AI techniques, in particular those involving qualitative spatial reasoning, to datasets from the humanities? Would you like to collaborate with a range of partners from other Universities in the UK (Lancaster, Bristol, Manchester) and the USA (Stanford, IUPUI) across a range of disciplines (History, English, Digital Humanities) to help gain an understanding of spatial information in textual corpora such as The Corpus of Lake District Writing, and Holocaust survivor testimonies? You will be involved in designing the semantic representations for the project as part of Work Package 2 (WP2). Work Package 1 (WP1) will develop methods to analyse the texts and annotate the constituent elements with named entities, spatial and temporal relations and PoS tags. WP2 will use the annotation from WP1 to analyse meanings of spatio-temporal relationships in the corpora. You will investigate the overlap between these relationships and existing spatio-temporal calculi (sets of relationships encoding spatial and temporal semantics with associated inference mechanisms). You will help design calculi that extend current AI-focussed work in qualitative spatio-temporal representation to narratives. These representations will not only allow the expression of qualitative relationships, but also those which are vague and imprecise. You will have a strong background and hold a PhD (or have submitted your thesis before taking up the role) in the area of knowledge representation and reasoning or a closely allied area. This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Further details of the post and the application procedure can be found here: https://jobs.leeds.ac.uk/Vacancy.aspx?ref=EPSCP1106 Prof A G Cohn, FREng, CEng, CITP, FAAAI, FEurAI, FAISB, FIET, FBCS School of Computing, University of Leeds, Leeds, LS2 9JT Turing Fellow, Alan Turing Institute T: 0113 3435482 https://tinyurl.com/A-G-Cohn E: a.g.cohn(a)leeds.ac.uk<mailto:a.g.cohn@leeds.ac.uk>

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Extended CFP - SIMBig 2022, 8 KS - Peru (AI, Data Science, NLP, ML)
by Juan Antonio Lossio-Ventura 11 Aug '22

11 Aug '22

> [Apologies for cross-posting] > > -> Due to several requests, SIMBig 2022 is pleased to extend > the submission deadline to August 19, 2022 (hard deadline) <- > > ================================================================= > LAST 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 > Monica Lam, Stanford University, USA > Wang-Chiew Tan, Facebook AI, USA > Andrew Tomkins, Google, USA > Bin Yu, University of California, Berkeley, USA > > IMPORTANT DATES > ------------- > > August 05, 2022 August 19, 2022 --> Papers submission deadline > September 09, 2022 September 17, 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 <https://simbig.org/SIMBig2022/en/snmam.html> - 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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Call for Bids to Host CLEF 2024 - Submission deadline 11 December 2022
by Nicola Ferro 10 Aug '22

10 Aug '22

INTRODUCTION The CLEF Initiative (Conference and Labs of the Evaluation Forum) is a self-organized body whose main mission is to promote research, innovation, and development of information access systems with an emphasis on multilingual and multimodal information with various levels of structure. The CLEF Initiative is structured in two main parts: - a series of Evaluation Labs, i.e. laboratories to conduct evaluation of information access systems and workshops to discuss and pilot innovative evaluation activities; - a peer-reviewed Conference on a broad range of issues, including - investigation continuing the activities of the Evaluation Labs; - experiments using multilingual and multimodal data; in particular, but not only, data resulting from CLEF activities; - research in evaluation methodologies and challenges. Since 2000 CLEF has played a leading role in stimulating investigation and research in a wide range of key areas in the information retrieval domain. It has promoted the study and implementation of appropriate evaluation methodologies for diverse types of tasks and media. Over the years, a wide, strong, and multidisciplinary research community has been built, which covers and spans the different areas of expertise needed to deal with the breadth of CLEF activities, making CLEF one of the top CALL FOR BIDS The CLEF Steering Committee solicits proposals from groups interested in organizing the CLEF conference and labs in September 2024. Groups submitting a bid for CLEF 2024 also commit themselves to collect membership fees on behalf of the CLEF Association and to pass them to the CLEF Association. Guidelines on submitting a bid can be found in the Template for Bids available at: https://www.clef-initiative.eu/documents/71612/87713/CLEF-Initiative-Templa… <http://www.clef-initiative.eu/documents/71612/60f6dc78-cc9a-4866-97bc-a4bc8…> Bids must be submitted by **Friday, December 11th, 2022** by email to the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu <mailto:chair@clef-initiative.eu>). The Steering Committee will review and select the proposals. The Steering Committee can ask for modifications and changes to the proposals, if deemed necessary. Interested parties can contact the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu <mailto:chair@clef-initiative.eu>) to receive further details. IMPORTANT DATES - Bid submission deadline: Friday, December 11th, 2022 - Feedback to bidders and discussion: December 2022 - Bid selection: early January 2023 STEERING COMMITTEE - Martin Braschler, Zurich University of Applied Sciences, Switzerland - Khalid Choukri, Evaluations and Language resources Distribution Agency (ELDA), France - Fabio Crestani, Università della Svizzera italiana, Switzerland - Carsten Eickhoff, Brown University, USA - Nicola Ferro, University of Padua, Italy - Norbert Fuhr, University of Duisburg-Essen, Germany - Lorraine Goeuriot, Université Grenoble Alpes, France - Julio Gonzalo, National Distance Education University (UNED), Spain - Donna Harman, National Institute for Standards and Technology (NIST), USA - Bogdan Ionescu, University Politehnica of Bucharest, Romania - Evangelos Kanoulas, University of Amsterdam, The Netherlands - Birger Larsen, University of Aalborg, Denmark - David E. Losada, Universidade de Santiago de Compostela, Spain - Mihai Lupu, Vienna University of Technology, Austria - Maria Maistro, University of Copenhagen, Denmark - Josiane Mothe, IRIT, Université de Toulouse, France - Henning Müller, University of Applied Sciences Western Switzerland (HES-SO), Switzerland - Jian-Yun Nie, Université de Montréal, Canada - Paolo Rosso, Universitat Politècnica de València, Spain - Eric SanJuan, University of Avignon, France - Giuseppe Santucci, Sapienza University of Rome, Italy - Jacques Savoy, University of Neuch\^{e}tel, Switzerland - Laure Soulier, Pierre and Marie Curie University (Paris 6), France - Theodora Tsikrika, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Greece - Christa Womser-Hacker, University of Hildesheim, Germany

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Fwd: Call for Participation: Shared Task on Indian Language Summarization (ILSUM 2022)
by Parth Mehta 10 Aug '22

10 Aug '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) ------------------------------------------------------- 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 30th August - Test Data Release 10th September - Run Submission Deadline 15th September - Results Declared 5th October - 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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Tenure track position computational linguistics - Vrije Universiteit Amsterdam
by Fokkens, A.S. (Antske) 10 Aug '22

10 Aug '22

We're Hiring! An Assistant Professor on a Tenure-Track Position at CLTL Vrije Universiteit Amsterdam Applications by 9 September 2022 (timezone CEST!) https://workingat.vu.nl/ad/tenure-track-assistant-professor-computational-l… Full description: We are looking for a passionate researcher who is eager to train a new generation of students in Natural Language Processing and Text Mining and to join us in resolving many mysteries of language modeling, understanding and generation. Do you have a background in computational linguistics and/or text mining? Do you enjoy teaching and are you interested in research where Natural Language Processing (NLP) is applied in various domains? Would you like to work in an enthusiastic, multidisciplinary team of NLP researchers? Then please, do apply for this position at the Vrije Universiteit Amsterdam. Location: AMSTERDAM FTE: 0.8 - 1 Position: Assistant Professor JOB DESCRIPTION As an Assistant Professor you will be teaching in our BA and MA programs for Natural Language Processing and Text Mining as well as the MSc program in Artificial Intelligence. You are also expected to do research, collaborate in projects, and submit your own research proposals. Your duties * teach courses in Natural Language Processing * supervise MA theses * research in Natural Language Processing * (co)-supervise PhD students REQUIREMENTS * PhD in computational linguistics or a PhD in computer science with specialization in computational linguistics * knowledge of and experience with the latest methods in NLP * experience in teaching on the topic of NLP at University level * solid publication record WHAT ARE WE OFFERING? We offer a tenure-track position at the level of Assistant Professor for the duration of 5 years starting 1 December 2022. Tenure can be achieved if the faculty criteria for Assistant Professor are fulfilled. For the duration of the tenure track, performance will be evaluated in terms of teaching, publication record, attempts to acquire research funding either individually or in consortia, academic service and valorisation. On full-time basis the remuneration amounts to a minimum gross monthly salary of €2,960 (scale 10) and a maximum €5,439 (scale 11), depending on your education and experience. The job profile: is based on the university job ranking system and is vacant for at least 0.8 FTE. Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as: * a maximum of 41 days of annual leave based on full-time employment * 8% holiday allowance and 8.3% end-of-year bonus * contribution to commuting expenses * optional model for designing a personalized benefits package ABOUT VRIJE UNIVERSITEIT AMSTERDAM The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavor – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences. Vrije Universiteit Amsterdam is home to more than 30,000 students. We employ over 5,500 individuals. The VU campus is easily accessible and located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research. Diversity We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences. Faculty of Humanities The Faculty of Humanities links a number of fields of study: Language, Literature and Communication, Art & Culture, History, Antiquities and Philosophy. Our teaching and research focus on current societal and scientific themes: from artificial intelligence to visual culture, from urbanization to the history of slavery, from ‘fake news’ in journalism to communication in organizations. We strive to ensure small group sizes. Innovative education and interdisciplinary research are our hallmarks. Working at the Faculty of Humanities means making a real contribution to the quality of leading education and research in an inspiring and personal work and study climate. We employ more than 350 staff members, and we are home to around 2,000 students. About the department The Computational Linguistics and Text Mining Lab (CLTL) at the Vrije Universiteit Amsterdam is one of the leading groups in the area of multilingual language understanding, language modeling and resources and human-robot communication. Check out our website at: www.cltl.nl<http://www.cltl.nl/> for more details about our research and teaching. APPLICATION Are you interested in this position? Please apply via the application button and upload your curriculum vitae and cover letter until 9 September 2022. A first round of job interviews are planned for the second half of September, when possible please take that into account when applying for the position. Applications received by e-mail will not be processed. Vacancy questions If you have any questions regarding this vacancy, you may contact: Name: Piek Vossen and/or Antske Fokkens Position: Full Professors E-mail: piek.vossen(a)vu.nl<mailto:piek.vossen@vu.nl> / antske.fokkens(a)vu.nl<mailto:antske.fokkens@vu.nl> Telephone: +31 20 59 86457 No agencies -- prof. dr. Antske Fokkens Computational Linguistics & Text Mining Lab, Vrije Universiteit Amsterdam Algorithms, Geometry & Applications, Eindhoven University of Technology

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Open NLP and AI jobs at DFKI in Berlin
by Georg Rehm 09 Aug '22

09 Aug '22

Dear colleagues, we have a number of open jobs in various exciting AI and NLP projects (OpenGPT-X, NFDI4DataScience, DataBri-X) at DFKI in Berlin: 1/5 OpenGPT-X: Researcher (m/f/d) – 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 and 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 and 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. 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, of course. 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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[FinNLP-2022@EMNLP] Second Call for Paper and Shared Task Participants
by CHUNG-CHI CHEN 09 Aug '22

09 Aug '22

Dear colleagues, We want to share one piece of news (ERAI shared task' English dataset is released) and remind the deadline of FinNLP-2022@EMNLP: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022-emnlp/home *(1) Evaluating the Rationales of Amateur Investors (ERAI) Shared Task*The goal of ERAI is to sort out the opinions that would lead to higher maximal potential profit (MPP) and lower maximal loss (ML). We focus on amateur investors' opinions, and pay attention to two settings: (1) Pairwise Comparison and (2) Unsupervised Ranking. The posts are written in Chinese, and *we also provide the translated version in English*. Thus, even if you are not familiar with Chinese, you can also join us. Registration Form: https://forms.gle/noHYdwxr1ymh36S58 *(2) FinNLP-2022 Main Track* We invite submissions of research papers on all topics related to NLP for Financial Technology (FinTech) applications. Besides, one of our goals of this workshop is to foster collaboration between researchers and developers from computational linguistics and finance and economic areas. Original studies reporting joint work are therefore especially encouraged. We offer USD$500 to the *Best Paper Award *winner. Submission *Deadline: Sep 7*, 2022 (https://softconf.com/emnlp2022/FinNLP/) Looking forward to meeting you soon at FinNLP@EMNLP-2022. Best Regards, FinNLP Organizers FinNLP-2022: The 4th Workshop on Financial Technology and Natural Language Processing EMNLP @ Abu Dhabi National Exhibition Centre Abu Dhabi, UAE, December 8, 2022 Conference website https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022-emnlp/home Submission deadline September 7, 2022 *FinNLP has become a twice-a-year workshop since 2022.* In H1, it keeps in conjunction with IJCAI; in H2, it starts to colocated with EMNLP. The aim of this workshop is to provide a forum where international participants share knowledge on applying NLP to the FinTech domain. Recently, analyzing documents related to finance and economics has attracted much attention in the AI community. In the financial field, FinTech is a new industry that focuses on improving financial activity with technology. Thus, in order to bridge the gap between the NLP research and the financial applications, we organize FinNLP workshop series. One of the expected accomplishments of FinNLP is to introduce insights from the financial domain to the NLP community. With the sharing of the researchers in FinNLP, the challenging problems of blending FinTech and NLP will be identified, and the future research direction will be shaped. That can broaden the scope of this interdisciplinary research area. Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - *Long Paper:* May consist of up to 8 pages of content, plus unlimited pages for references and appendix. - *Short Paper and Demo Paper: *May consist of up to 4 pages of content, plus unlimited references and appendix. List of Topics We invite submissions of research papers on all topics related to NLP for Financial Technology (FinTech) applications. Besides, one of our goals of this workshop is to foster collaboration between researchers and developers from computational linguistics and finance and economic areas. Original studies reporting joint work are therefore especially encouraged. Topics of interest include, but are not limited to: - Text-based Market Provisioning - NLP-based Investment Management - Crowdfunding Analysis with Text Data - Text-oriented Customer Preference Analysis - Insurance Application with Textual Information - NLP-based Know Your Customer (KYC) Approach - Applications or Systems for FinTech with NLP Methods CommitteesProgram Committee - Hiroki Sakaji - The University of Tokyo - Emmanuele Chersoni - The Hong Kong Polytechnic University - Kiyoshi Izumi - The University of Tokyo - Pablo Duboue - Textualization Software Ltd. - Juyeon Kang - Fortia Financial Solutions - Paulo Alves - Católica Porto Business School - Luciano Del Corro - Microsoft Research - Chuan-Ju Wang - Academia Sinica - Ismail El Maarouf - Imprevicible - Damir Cavar - Indiana University Organizing Committee <http://cjchen.nlpfin.com/> - <http://cjchen.nlpfin.com/> <http://cjchen.nlpfin.com/>Chung-Chi Chen <http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2F~cjchen%2F&s…> - Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan - Hen-Hsen Huang <http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2F~hhhuang%2F&…> - Institute of Information Science, Academia Sinica, Taiwan - Hiroya Takamura <http://www.google.com/url?q=http%3A%2F%2Fwww.lr.pi.titech.ac.jp%2F~takamura…> - Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan - Hsin-Hsi Chen <http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2Fadvisor.php&…> - Department of Computer Science and Information Engineering, National Taiwan University, Taiwan Venue The conference will be held in conjunction with EMNLP-2022 on December 8, Abu Dhabi, United Arab Emirates Contact All questions about submissions should be emailed to finnlp(a)nlg.csie.ntu.edu.tw

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Fifth Workshop on NLP for Internet Freedom (NLP4IF): extended deadline; corrected url
by Anna Feldman 08 Aug '22

08 Aug '22

Corrected URL: COLING 2022 Fifth Workshop on NLP for Internet Freedom (NLP4IF): Censorship, Disinformation, and Propaganda Workshop website: http://www.netcopia.net/nlp4if/ Co-located with COLING-2022, Oct 12-17, Gyeongju, Republic of Korea *Submission deadline: August 18, 2022 (23:59 PM Pacific Standard Time)* NLP4IF (http://www.netcopia.net/nlp4if/ is dedicated to NLP methods that potentially contribute (either positively or negatively) to the free flow of information on the Internet, or to our understanding of the issues that arise in this area. We hope that our workshop will have a transformative impact on society by getting closer to achieving Internet freedom in countries where accessing and sharing of information are strictly controlled by censorship. The topics of interest include (but are not limited) to the following: Censorship detection: detecting deleted or edited text; detecting blocked keywords/banned terms; Censorship circumvention techniques: linguistically inspired countermeasure for Internet censorship such as keyword substitution, expanding coverage of existing banned terms, text paraphrasing, linguistic steganography, generating information morphs etc.; Identification of propaganda at different granularity levels: text fragment, document, and full website Detection of self-censorship; Identifying potentially censorable content; Disinformation/Misinformation detection: fake news, fake accounts, rumor detection, etc.; Identification of hate speech and offensive language (Comparative) analysis of the language of propagandistic and biased texts Automatic generation of persuasive content Automatic debiasing of news content Tools to facilitate the flagging, either automatic or manual, of propaganda and bias in social media Automatic detection of coordinated propaganda campaigns such as the use of social bots, botnets, and water armies Analysis of diffusion and consumption of propagandistic, hyperpartisan, and extremely biased content in social media Techniques to empirically measure Internet censorship across communication platforms; Investigations on covert linguistic communication and its limits; Identity and private information detection; Passive and targeted surveillance techniques; Ethics in NLP; “Walled gardens”, personalization and fragmentation of the online public space; Multiple submission policy: papers that are under review in another COLING workshop at the time of submission will not be considered. Submission page: https://www.softconf.com/coling2022/NLP4IF Formatting requirements: https://coling2022.org/Submission Important Dates * Submission deadline: August 18, 2022 (23:59 PM Pacific Standard Time) * Camera-ready papers due: September 5, 2022 * Workshop: co-located with COLING-2022, October 12-17, 2022

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2025

2024

2023

2022