January 2024 - Corpora

2nd CfP: Workshop on Reference, Framing, and Perspective
by Pia Sommerauer 11 Jan '24

11 Jan '24

We are very pleased to share our second call for papers for our workshop on Reference, Framing, and Perspective co-located with LREC-COLING 2024. * Workshop website: https://cltl.github.io/reference-framing-perspective/ * When: Saturday, May 25th, 20204 * Where: Torino, Italy (co-located with LREC-COLING 2024) * Deadline for submissions: February 20, 2024 * Paper submission link: https://softconf.com/lrec-coling2024/reference-framing-perspective2024/user/ * Deadline for camera-ready papers: beginning of April 1, 2024 * Shared dataset: https://github.com/cltl/rfp_corpus_collection When something happens in the world, we have access to an unlimited range of ways (from lexical choices to specific syntactic structures) to refer to the same real-world event. We can chose to express information explicitly or imply it. Variations in reference may convey radically different perspectives. This process of making reference to something by adopting a specific perspective is also known as framing. Although previous work in this area is present (see Ali and Hassan (2022)’s survey for an overview), there is a lack of a unitary framework and only few targeted datasets (Chen et al., 2019) and tools based on Large Language Models exist (Minnema et al., 2022). In this workshop, we propose to adopt Frame Semantics (Fillmore, 1968, 1985, 2006) as a unifying theoretical framework and analysis method to understand the choices made in linguistic references to events. The semantic frames (expressed by predicates and roles) we choose give rise to our understanding, or framing, of an event. We aim to bring together different research communities interested in lexical and syntactic variation, referential grounding, frame semantics, and perspectives. We believe that there is significant overlap within the goals and interests of these communities, but not necessarily the common ground to enable collaborative work. Referentially Grounded Shared Dataset One way to study variation in framing is to conduct contrastive analyses of texts reporting on the same real-world event. Such an analysis can help to reveal the extent of variation in framing and possibly give rise to the underlying factors that lead to different choices in framing the same event. We collected such a corpus about the Eurovision Song Festival and make it available as a Shared Dataset for the Workshop. The purpose of this corpus is to enable exploratory analyses, facilitate discussion among participants, and, last but not least, make our workshop a real working workshop. The corpus is composed of news articles reporting on the Eurovision Song Contest that took place in Rotterdam, the Netherlands (canceled in 2020 and held in 2021). The news articles have been collected using the structured data-to-text approach (Vossen et al., 2018). The corpus contains news articles in multiple languages. We invite participants to submit short and targeted analyses using the data (extended abstracts to be discussed in a hands-on data session). Participants are also free to use the data in regular contributions. Regular contributions: We aim to lay the groundwork for such efforts. We invite contributions (regular long papers of 8 pages or short papers of 4 pages) targeting any of the following - non-exhaustive - list of topics: * Theoretical models of framing and perspective * Annotation frameworks for framing and perspectives * Computational models of framing and perspective * Approaches for creating and analyzing referentially grounded datasets (containing different perspectives, written at different points in time, written in different languages) * Approaches for and analyses of texts about contested and divisive events triggering different opinions and perspectives * Analyses of and methods for analyzing (diachronic) lexical variation and framing * Language resources for reference, frames, and perspectives * Approaches and tools to compare claims of sources * Frames as expressions of bias in the representation of social groups * User interface for the visualization of multiple perspectives Extended abstracts: We invite extended abstracts (1,500 words maximum) about small analyses or experiments conducted on our Shared Data. The abstracts will be non-archival and discussed in a dedicated data session. Invited speakers: Maria Antoniak Vered Shwartz Organizers: Pia Sommerauer, Tommaso Caselli, Malvina Nissim, Levi Remijnse, Piek Vossen

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link to January 11th talk
by Susana Sotillo 11 Jan '24

11 Jan '24

Would you kindly send me a link to today's talk? I registered several days ago but I did not get a link. Susana M. Sotillo

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Fully Funded PostDoc Position in NLP / Scientific Document Analysis
by Niemann, Elisabeth 11 Jan '24

11 Jan '24

Fully Funded PostDoc Position in NLP / Scientific Document Analysis The Tübingen AI Center at the University of Tübingen is looking for a motivated postdoctoral researcher interested in natural language processing for scientific document analysis. The researcher will be supervised by Prof. Andreas Geiger (University of Tübingen) and Iryna Gurevych (TU Darmstadt) and will have the opportunity to supervise Master and PhD students. Description: The body of scientific literature is growing at an ever-increasing rate. As a result, it is increasingly difficult for researchers to keep up-to-date. This hinders scientific progress at large and leads to a suboptimal usage of resources including research funds, compute, energy and intellectual capacity. In this project, we plan to develop novel NLP methods and algorithms and to collect new datasets to advance research in scientific documents processing. Research topics include: * Efficient hierarchical and multi-modal document representations * Structured intra- and inter-document models * Distillation and adaptation of LLMs for scientific document analysis and generation * Self-supervised learning with multi-scale pre-text tasks * Explainable and grounded scientific document models * Deployment of algorithms and collection of datasets (www.scholar-inbox.com) Requirements: We are looking for candidates that hold a PhD degree and who have published at top conferences in the field (ACL, EMNLP, NAACL, TACL). About Us: The University of Tübingen is one of Germany's excellence universities with an excellence cluster on machine learning, an ELLIS Unit and the Tübingen AI Center. Embedded in the interdisciplinary research environment of CyberValley, the Autonomous Vision Group conducts curiosity-driven fundamental research, providing researchers with access to unique research facilities and great research teams. Currently, 2 PhD students are working on this project. Our culture is international, inclusive and collaborative. We are looking forward to your application! To apply, please send your application materials including your CV, research statement, transcripts and names of referees to: a.geiger(a)uni-tuebingen.de

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DHd2024 Registration Reminder
by Haider, Thomas 11 Jan '24

11 Jan '24

Dear Colleagues, Tomorrow is the last day for Early Bird registration for DHd2024 in Passau. Late Bird registration will be open until 18.02.2024 Please register through conftool. More information: https://dhd2024.dig-hum.de/registrierung/ For the DHd2024 Team in Passau Thomas Haider

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Open-Rank Faculty Positions in Natural Language Processing @INSAIT in Sofia
by Niemann, Elisabeth 11 Jan '24

11 Jan '24

Open-Rank Faculty Positions in Natural Language Processing @INSAIT in Sofia Join a fantastic growing team of world-class researchers: the Institute for Computer Science, Artificial Intelligence and Technology (INSAIT) in Sofia, Bulgaria is looking to establish a strong profile in Natural Language Processing (NLP). We solicit applications for multiple fulltime open-rank (both senior and junior) faculty positions in Natural Language Processing. The faculty will closely collaborate with the UKP Lab, Technical University of Darmstadt, Germany (Prof. Iryna Gurevych). INSAIT has been founded in 2022. Its mission is to become a high-profile computer science and AI research institution. It has recently become an ELLIS unit (https://ellis.eu/units/sofia). INSAIT is structured similarly to top U.S. and European research institutions (tenure-track and tenured faculty positions, PhD duration, etc.). This is a unique opportunity with outstanding working conditions with regard to facilities, packages, resources, and salaries. More information about the opening and the application process can be found here: https://cra.org/job/institute-for-computer-science-artificial-intelligence-… https://ellis.eu/jobs/open-tenure-track-and-tenured-ai-faculty-positions-at… For questions, please send a message to Iryna Gurevych (iryna dot gurevych at tu-darmstadt dot de)

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CfP: AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo)
by Johanna Binnewitt 11 Jan '24

11 Jan '24

Dear corpora-list, We would like to draw your attention to the Thematic Track "AI in Digital Humanities, Computational Social Sciences and Economics Research (AI-HuSo)", which will take place at FedCSIS 2024 in Belgrade from September 8-11, 2024. The event aims to bring together research from various disciplines in the humanities, social sciences and economics, focusing on the use of computational methods, machine learning and AI. Further information on the topics and the deadlines can be found here: https://2024.fedcsis.org/thematic/ai-huso Contact: ai-huso(a)fedcsis.org ======================================================================= AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo) ======================================================================= Belgrade, Serbia, 8–11 September, 2024 This thematic track is dedicated to the computational study of Social Sciences, Economics and Humanities, including all subjects like, for example, education, labour market, history, religious studies, theology, cultural heritage, and informative predictions for decision-making and behavioural-science perspectives. While digital methods and AI have been emerging topics in these fields for several decades, this thematic track is not only limited to discoveries in these domains, but also dedicated to the reflections of these methods and results within the field of computer science. Thus, we are in particular interested in interdisciplinary exchange and dissemination with a clear focus on computational and AI methods. Since there is a clear methodological overlap between these three domains and often similar algorithms and AI approaches are considered, we see this thematic track as place for interdisciplinary learning, discussing a joint toolbox as a support for scholars from these field with human and context-aware agents. The aim of this thematic track is thus to bridge the gap between scientific domains, foster interdisciplinary exchange and discuss how research questions from other domains challenge current computer science. In particular, we are interested in communications between researchers from different fields of computer science, social sciences, economics, humanities, and practitioners from different fields. Topics The list of topics includes, but is not limited to: - AI and computational approaches for the interdisciplinary work of the social sciences, economics, and humanities: report on theoretical, methodological, experimental, and applied research. - AI and computational approaches for linking data from different digital resources, including online social networks, web and data mining, Knowledge Graphs, Ontologies. - AI and computational methods for text mining and textual analysis, for example texts within social sciences, digital literary studies, computational stylistics and stylometry. - Text encoding, computational linguistics, annotation guidelines, OCR for humanities, economics, and social sciences. - Network analysis, including social and historical network analysis. While we encourage submissions from a broad background, every year we also encourage submissions to two special topics. In 2024 these will be: - Ethical and philosophical considerations of AI in society and research. - Sociological challenges for AI in society, e.g., labour market, education or media. In general, the applications of interest are included in the list below, but are not limited to: - Labour market research and qualification, including behavioral-science perspectives. - Education: Digital methods and systems, e-learning, adult education, etc. - Contributions to the application of technology to culture, history, and societal issues: For example, computational text analysis, analytical and visualization, databases, etc. - In particular, we welcome submissions which focus on a critical reflection of digital methods in the humanities, economics and social sciences within computer science. - Linking of digital resources, a discussion of data sets, their quality and reliability, combining quantitative and qualitative data, anonymization and data protection.

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TOC: Lexique 33
by Nabil Hathout 11 Jan '24

11 Jan '24

We are happy to announce a new special issue of the Lexique journal on “Démonette: a French Derivational Database”, edited by Nabil Hathout and Fiammetta Namer. The issue focuses on the results of the ANR Démonext "Derivation in Extension" project (2018-2022) and on uses of some of these results. https://www.peren-revues.fr/lexique/942 The issue features the following articles: * Nabil Hathout et Fiammetta Namer Démonette : une base de données dérivationnelle du français * Fiammetta Namer, Nabil Hathout, Dany Amiot, Lucie Barque, Olivier Bonami, Gilles Boyé, Basilio Calderone, Julie Cattini, Georgette Dal, Alexander Delaporte, Guillaume Duboisdindien, Achille Falaise, Natalia Grabar, Pauline Haas, Frédérique Henry, Mathilde Huguin, Nyoman Juniarta, Loïc Liégeois, Stéphanie Lignon, Lucie Macchi, Grigoriy Manucharian, Caroline Masson, Fabio Montermini, Nadejda Okinina, Franck Sajous, Daniele Sanacore, Mai Thi Tran, Juliette Thuilier, Yannick Toussaint et Delphine Tribout Démonette-2, a derivational database for French with broad lexical coverage and fine-grained morphological descriptions * Mathilde Huguin, Lucie Barque, Pauline Haas et Delphine Tribout Typage sémantique des noms dans la ressource morphologique Démonette * Basilio Calderone, Nabil Hathout et Olivier Bonami Phonolette: a grapheme-to-phoneme converter for French * Nabil Hathout, Fiammetta Namer, Olivier Bonami, Georgette Dal et Stéphanie Lignon Generation of exercises for derivational morphology using the Démonette database * Stéphanie Caët, Caroline Masson, Loïc Liégeois, Lucie Macchi, Christine Da Silva-Genest et Nadejda Okinina Explorer des corpus oraux à l’aide de la base de données Démonette-2 : usage de mots construits dans des interactions adulte(s)-enfant(s) * Frédérique Brin-Henry et Fiammetta Namer Mesurer la similarité morphologique entre mot produit et mot attendu chez les adultes avec aphasie : étude pilote * Guillaume Duboisdindien, Julie Cattini et Georgette Dal Améliorer les compétences lexicales dans le cadre d’un Trouble Développemental du Langage avec la base Démonette-2 * Guillaume Duboisdindien et Georgette Dal Programme de recherche participative DEMONEXT : partenariat et co-construction des savoirs entre chercheurs et orthophonistes * Bernard Fradin Repères critiques sur « Les familles dérivationnelles : comment ça marche ? » * Michel Roché Les familles dérivationnelles : comment ça marche ? Best regards, Fiammetta Namer et Nabil Hathout -- CLLE, CNRS & Université de Toulouse Jean Jaurès Maison de la Recherche. F-31058 Toulouse cedex 9 Tél. (+33) 561-504-013. Nabil.Hathout(a)univ-tlse2.fr http://nabil.hathout.free.fr/

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Call for ARR Commitment UncertaiNLP 2024 @ EACL
by Tiedemann, Jörg 11 Jan '24

11 Jan '24

Dear all, The First Workshop on Uncertainty-Aware NLP (UncertaiNLP) is welcoming paper commitments from ARR. More info on the workshop: https://uncertainlp.github.io/ ARR commitment link: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UncertaiNLP_ARR… Our ARR commitment deadline is January 18th anywhere on earth, so you can also commit EACL submissions after rejection. —————————————— Jörg Tiedemann University of Helsinki https://blogs.helsinki.fi/language-technology/

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CALL for ARR Commitment MOOMIN @ EACL2024
by Tiedemann, Jörg 11 Jan '24

11 Jan '24

Dear all, The First Workshop on Modular and Open Multilingual NLP (MOOMIN) is welcoming paper commitments from ARR. More info on the workshop: https://moomin-workshop.github.io/<https://moomin-workshop.github.io/> ARR commitment link: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/MOOMIN_ARR_Comm… Our ARR commitment deadline is January 17th anywhere on earth, so you can also commit EACL submissions after rejection. —————————————— Jörg Tiedemann University of Helsinki https://blogs.helsinki.fi/language-technology/

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Scholar Inbox - Your Personal Paper Recommender
by a.geiger＠uni-tuebingen.de 10 Jan '24

10 Jan '24

The body of scientific literature is growing at an ever-increasing rate. Especially in the field of artificial intelligence (AI), the number of publications is growing every month with currently more than 300 new papers every day. As a result, it is increasingly difficult for researchers to keep an overview over the current state-of-the-art. While a number of tools simplify literature retrieval today, none of them is able to deliver accurate personalized recommendations with high recall on a daily basis. This motivated us to develop scholar-inbox.com, a personal paper recommendation system which enables researchers to stay up-to-date with the most relevant progress by delivering personal suggestions directly to your inbox - free of charge. Scholar Inbox learns which papers you like and dislike and recommends papers to you that are similar to papers you like based on neural language processing techniques. Scholar Inbox focuses entirely on the written contents and hence also suggests relevant papers that don't receive social media hype. https://www.scholar-inbox.com/ https://sites.google.com/view/avg-blog/scholar-inbox/ We hope that you will find this tool as useful as we find it ourselves! Andreas Geiger & Scholar Inbox Team University of Tübingen

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2024

2023

2022

Corpora January 2024