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++ CALL FOR PAPERS ++ **************************************************************************** Fifth International Workshop on Narrative Extraction from Texts (Text2Story'22) Held in conjunction with the 44th European Conference on Information Retrieval (ECIR'22) April 10th, 2022 - Stavanger, Norway Website: https://text2story22.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission deadline: January 24th, 2022 - Acceptance Notification Date: March 1st, 2022 - Camera-ready copies: March 18th, 2022 - Workshop: April 10th, 2022 ++ Overview ++ Although information extraction and natural language processing have made significant progress towards an automatic interpretation of texts, the problem of constructing consistent narrative structures is yet to be solved. ++ List of Topics ++ In the fifth edition of the Text2Story workshop, we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative understanding and representation of texts. Specifically, we aim to provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: * Narrative Representation Language * Story Evolution and Shift Detection * Temporal Relation Identification * Temporal Reasoning and ordering of events * Causal Relation Extraction and Arrangement * Narrative Summarization * Multi-modal Summarization * Automatic Timeline Generation * Storyline Visualization * Comprehension of Generated Narratives and Timelines * Big data applied to Narrative Extraction * Personalization and Recommendation of Narratives * User Profiling and User Behavior Modeling * Sentiment and Opinion Detection in Texts * Argumentation Analysis * Models for detection and removal of bias in generated stories * Ethical and fair narrative generation * Misinformation and Fact Checking * Bots Influence * Information Retrieval Models based on Story Evolution * Narrative-focused Search in Text Collections * Event and Entity importance Estimation in Narratives * Multilinguality: multilingual and cross-lingual narrative analysis * Evaluation Methodologies for Narrative Extraction * Resources and Dataset showcase * Dataset annotation and annotation schemas * Applications in social media (e.g. narrative generation during a natural disaster) ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset (published at ECIR'21) under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks including the study of news coverage about the COVID-19 pandemic. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 [Uma imagem contendo Site Descrição gerada automaticamente]<https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33> TLS-Covid19: A New Annotated Corpus for Timeline Summarization | SpringerLink<https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33> link.springer.com The rise of social media and the explosion of digital news in the web sphere have created new challenges to extract knowledge and make sense of published information. Automated timeline generation... ++ Submission Guidelines ++ We invite four kinds of submissions: * Research papers (max 7 pages + references) * Demos and position papers (max 5 pages + references) * Work in progress and project description papers (max 4 pages + references) * Nectar papers with a summary of own work published in other conferences or journals that is worthwhile sharing with the Text2Story community, by emphasizing how it can be applied for narrative extraction, processing or storytelling, adding some more insights or discussions; novel aspects, results or case studies (max 3 pages + references) Papers must be submitted electronically in PDF format through EasyChair (https://easychair.org/conferences/?conf=text2story2022). All submissions must be in English and formatted according to the one-column CEUR-ART style with no page numbers. Templates, either in Word or LaTeX, can be found in the following zip folder: http://ceur-ws.org/Vol-XXX/CEURART.zip. There is also an Overleaf page for LaTeX users, available at: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk. Submissions will be peer-reviewed by at least two members of the program committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (usually indexed on DBLP). ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Organizing committee ++ Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal) Alípio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ João Paulo Cordeiro (INESC TEC; University of Beira Interior) Conceição Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ Álvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) António Horta Branco (University of Lisbon) Arian Pasquali (CitizenLab) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST and INESC-ID - Instituto Superior Técnico, University of Lisbon) Demian Gholipour (University College Dublin) Daniel Gomes (FCT/Arquivo.pt) Daniel Loureiro (University of Porto) Denilson Barbosa (University of Alberta) Deya Banisakher (Defense Threat Reduction Agency (DTRA), Ft. Belvior, VA, USA.) Dhruv Gupta (Norwegian University of Science and Technology (NTNU), Trondheim, Norway) Dwaipayan Roy (ISI Kolkata, India) Dyaa Albakour (Signal) Evelin Amorim (INESC TEC) Florian Boudin (Université de Nantes) Grigorios Tsoumakas (Aristotle University of Thessaloniki) Henrique Lopes Cardoso (University of Porto) Hugo Sousa (INESC TEC) Ismail Sengor Altingovde (Middle East Technical University) Jeffery Ansah (BHP) João Paulo Cordeiro (INESC TEC & University of Beira Interior) Kiran Kumar Bandeli (Walmart Inc.) Ludovic Moncla (INSA Lyon) Marc Spaniol (Université de Caen Normandie) Nina Tahmasebi (University of Gothenburg) Pablo Gamallo (University of Santiago de Compostela) Paulo Quaresma (Universidade de Évora) Pablo Gervás (Universidad Complutense de Madrid) Paul Rayson (Lancaster University) Preslav Nakov (Qatar Computing Research Institute (QCRI)) Satya Almasian (Heidelberg University) Sérgio Nunes (INESC TEC & University of Porto) Udo Kruschwitz (University of Regensburg) Yihong Zhang (Kyoto University) ++ Contacts ++ Website: https://text2story22.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2...@easychair.org<mailto:text2story2...@easychair.org> All the best, [cid:image002.png@01D7C97B.63D6C960] Hugo Sousa Research Assistant @ INESC TEC PhD Student @ FCUP sousahugo.com<https://www.sousahugo.com/> [cid:image003.png@01D7C97B.63D6C960]<https://scholar.google.com/citations?user=d-14Qx4AAAAJ&hl=en&oi=ao> [cid:image004.png@01D7C97B.63D6C960]<https://github.com/hmosousa> [cid:image005.png@01D7C97B.63D6C960]<https://www.linkedin.com/in/hugo-o-sousa/>
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