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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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[Corpora-List]CoCo4MT 2nd CFP - The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation
by Shabnam Tafreshi 19 Jun '22

19 Jun '22

-- Apologies for cross posting -- The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT)https://sites.google.com/view/coco4mt @ AMTA – 2022 This 15th biennial conference of the Association for Machine Translation in the Americas 12-16 September 2022, Orlando, Florida, USA INVITED TALKS Julia Kreutzer Google Research More TBA... SCOPE It is a well-known fact that machine translation systems, especially those that use deep learning, require massive amounts of data. Several resources for languages are not available in their human-created format. Some of the types of resources available are monolingual, multilingual, translation memories, and lexicons. Those types of resources are generally created for formal purposes such as parliamentary collections when parallel and more informal situations when monolingual. The quality and abundance of resources including corpora used for formal reasons is generally higher than those used for informal purposes. Additionally, corpora for low-resource languages, languages with less digital resources available, tends to be less abundant and of lower quality. CoCo4MT sets out to be the first workshop centered around research that focuses on corpora creation, cleansing, and augmentation techniques specifically for machine translation. We accept work that covers any spoken language (including high-resource languages) but we are specifically interested in those submissions that are on languages with limited existing resources (low-resource languages) where resources are not highly available. The goal of this workshop is to begin to close the gap between corpora available for low-resource translation systems and promote high-quality data for online systems that can be used by native speakers of low-resource languages is of particular interest. Therefore, It will be beneficial if the techniques presented in research papers include their impact on the quality of MT output and how they can be used in the real world. CoCo4MT aims to encourage research on new and undiscovered techniques. We hope that submissions will provide high-quality corpora that is available publicly for download and can be used to increase machine translation performance thus encouraging new dataset creation for multiple languages that will, in turn, provide a general workshop to consult for corpora needs in the future. The workshop’s success will be measured by the following key performance indicators: - Promotes the ongoing increase in quality of machine translation systems when measured by standard measurements, - Provides a meeting place for collaboration from several research areas to increase the availability of commonly used corpora and new corpora, - Drives innovation to address the need for higher quality and abundance of low-resource language data. TOPICS We are highly interested in original research papers on the topics below; however, we welcome all novel ideas that cover research on corpora techniques. - Difficulties with using existing corpora (e.g., political considerations or domain limitations) and their effects on final MT systems, - Strategies for collecting new MT datasets (e.g., via crowdsourcing), - Data augmentation techniques, - Data cleansing and denoising techniques, - Quality control strategies for MT data, - Exploration of datasets for pretraining or auxiliary tasks for training MT systems. SUBMISSION INFORMATION There is one type of submission in the workshop: Research, review and position paper. The length of each paper should be at least four (4) and not exceed ten (10) pages, plus unlimited pages for references. Submissions should be formatted according to the official AMTA 2022 style templates (PDF, LaTeX, Word). Accepted papers will be published on-line in the AMTA 2022 proceedings which includes the ACL Anthology and will be presented at the conference either orally or as a poster. Submissions must be anonymized and should be done using the official conference management system (https://cmt3.research.microsoft.com/AMTA2022). Scientific papers that have been or will be submitted to other venues must be declared as such, and must be withdrawn from the other venues if accepted and published at CoCo4MT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration will be handled by the main conference. (To be announced) IMPORTANT DATES June 1, 2022 – Call for papers released June 15, 2022 – Second call for papers June 29, 2022 – Third and final call for papers July 13, 2022 – Paper submissions due July 27, 2022 – Notification of acceptance August 7, 2022 – Camera-ready due August 31, 2022 – Video recordings due September 16, 2022 - CoCo4MT workshop CONTACT CoCo4MT Workshop Organizerscoco4mt2022(a)googlegroups.com ORGANIZING COMMITTEE (listed alphabetically) Constantine Lignos Brandeis University John E. Ortega New York University and University of Santiago de Compostela (CITIUS) Katharina Kann University of Colorado Boulder Maja Popopvić ADAPT Centre at Dublin City University Marine Carpuat University of Maryland Shabnam Tafreshi University of Maryland William Chen Carnegie Mellon University PROGRAM COMMITTEE (listed alphabetically tentative) Abteen Ebrahimi University of Colorado Boulder Adelani David Saarland University Ananya Ganesh University of Colorado Boulder Alberto Poncelas ADAPT Centre at Dublin City University Amirhossein Tebbifakhr University of Trento Anna Currey Amazon Arturo Oncevay University of Edinburgh Atul Kr. Ojha National University of Ireland Galway Bharathi Raja Chakravarthi National University of Ireland Galway Beatrice Savoldi University of Trento Bogdan Babych Heidelberg University Briakou Eleftheria University of Maryland Dossou Bonaventure Mila Quebec AI Institute Duygu Ataman New York University Eleni Metheniti Université Toulosse - Paul Sabatier Francis Tyers Indiana University Jasper Kyle Catapang University of Birmingham John E. Ortega New York University and USC - CITIUS José Ramom Pichel Campos Universidade de Santiago de Compostela - CITIUS Kalika Bali Microsoft Koel Dutta Chowdhury Saarland University Liangyou Li Huawei Manuel Mager University of Stuttgart Maria Art Antonette Clariño University of the Philippines Los Baños Mathias Müller University of Zurich Nathaniel Oco De La Salle University Niu Xing Amazon Pablo Gamallo Universidade de Santiago de Compostela - CITIUS Rico Sennrich University of Zurich Sangjee Dondrub Qinghai Normal University Santanu Pal Saarland University Sardana Ivanova University of Helsinki Shantipriya Parida Silo AI Surafel Melaku Lakew Amazon Tommi A Pirinen University of Tromsø Valentin Malykh Moscow Institute of Physics and Technology Xu Weijia University of Maryland -- *Shabnam Tafreshi, PhD* *Assistant Research Scientist* *Computational Linguistics, NLP* *UMD: ARLIS @ College Park* *"All the problems of the world could be settled easily, if people only willing to think."* *-Thomas J. Watson*

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[Corpora-List][CfP] LaCATODA 2022 at ACII 2022, Nara, Japan (Linguistic and Cognitive Approaches to Dialog Agents)
by Ptaszynski Michal 19 Jun '22

19 Jun '22

Dear Colleagues, ** Sorry for cross-postings ** This year our workshop LaCATODA 2022 will be co-located with ACII 2022. Please, consider submitting a paper. The accepted papers will be published in the ACII workshop proceedings indexed by IEEExplore. Best regards, Michal Ptaszynski in the name of LaCATODA 2022 organizers, Michal PTASZYNSKI, Ph.D., Associate Professor Department of Computer Science Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal(a)mail.kitami-it.ac.jp http://arakilab.media.eng.hokudai.ac.jp/~ptaszynski/ ========================================================== The Eighth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2022) (ACII 2022 Workshop) http://arakilab.media.eng.hokudai.ac.jp/ACII2022/ Venue: Nara, Japan & online (in conjunction with ACII, https://acii-conf.net/2022/) ========================================================== WHAT IS LaCATODA? A multidisciplinary workshop for researchers who develop dialog agents and methods for achieving more natural machine-generated conversation or study problems of human communication which are difficult to mimic algorithmically. We are interested in original papers on systems and ideas for systems that use common sense knowledge and reasoning, affective computing, cognitive methods, learning from broad sets of data and acquiring knowledge, or language and user preferences. ------------------------------------------------------------------ Important Dates: Paper submission: 20 July 2022 (11:59PM UTC-12:00, "anywhere on Earth") Notification of acceptance: 4 August 2022 Camera-Ready submission: 14 June 2022 LaCATODA 2022 Workshop: 17 October 2022 Submission: https://easychair.org/conferences/?conf=lacatoda2022 ------------------------------------------------------------------ Relevant Topics: - Affective computing - Agent-based information retrieval - Attention and focus in dialog processing - Artificial assistants - Artificial tutors - Common sense, knowledge and reasoning - Computational cognition - Conversational theories - Daily life dialog systems - Emotional intelligence simulations - Ethical reasoning - Humor processing - Language acquisition - Machine learning for / from dialogs - Text mining for / from dialogs - Philosophy of interaction / communication - Preference models - Unlimited question answering - User modeling - Wisdom of Crowds approaches - World knowledge acquisition - Systems and approaches combining above topics Organizers: Rafal Rzepka, Hokkaido University, Japan Jordi Vallverdú, Autonomous University of Barcelona, Spain Andre Wlodarczyk, Charles de Gaulle University, France Michal Ptaszynski, Kitami institute of Technology, Japan Pawel Dybala, Jagiellonian University, Poland

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[Corpora-List]Johns Hopkins University: Postdoc Positions
by Mark Dredze 17 Jun '22

17 Jun '22

The Center for Language and Speech Processing (CLSP) at Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record. Possible research topics include: - Explainable AI, natural language processing and medicine - Text generation and training large language models - Information extraction, retrieval, question answering, and human-in-the-loop learning Johns Hopkins University is a private university located in Baltimore, Maryland with easy access to a number of affordable and vibrant neighborhoods. CLSP is one of the world’s largest academic centers focused on speech and language with a dozen faculty members and over 80 graduate students. It has a history of placing students in top academic and industry positions. Applicants are not required to be US citizens or permanent residents. Details and application information: https://www.clsp.jhu.edu/employment-opportunities/

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2024

2023

2022