[Corpora-List] Fourth International Workshop on Narrative Extraction from Texts (Text2Story'21)

Behrooz Mansouri (RIT Student) bm3302 at rit.edu
Thu Dec 17 05:32:23 CET 2020

*** Apologies for cross-posting ***


****************************************************************************************** Fourth International Workshop on Narrative Extraction from Texts (Text2Story'21)

held online in conjunction with the 43rd European Conference on Information Retrieval (ECIR'21)

1st of April, 2021 - Lucca (Italy) - ONLINE EVENT

Website: http://text2story21.inesctec.pt ******************************************************************************************

++ Important Dates ++ - Submission deadline: January 11th, 2021 - Acceptance Notification Date: February 5th, 2021 - Camera-ready copies: February 28th, 2021 - Workshop: 1st of April, 2021

++ Overview ++

Call for papers

Although the understanding of natural language has improved over the last couple of years - with research works emerging on the grounds of information extraction and text mining - the problem of constructing consistent narrative structures is yet to be solved.

++ List of Topics ++ In the fourth edition of the Text2Story workshop, we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from 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 - Event Identification - Temporal Information Extraction - Temporal Relation Identification - Temporal Reasoning - Causal Relation Extraction and Arrangement - Event Detection, Profiling, Ordering and Linking - Narrative Summarization - Multi-modal Summarization - Automatic Timeline Generation - Storyline Visualization - Temporal Aspects of Storylines - Comprehension of Generated Narratives and Timelines - Evaluation Methodologies for Narrative Extraction - Resources and Dataset showcase - Big data applied to Narrative Extraction - Personalization and Recommendation - User Profiling and User Behavior Modeling - Sentiment and Opinion Detection in Texts - Argumentation Mining - Credibility - Models for detection and removal of bias in generated stories - Ethical and fair narrative generation - Fact-Checking - Bias in Text Documents - Bots Influence - Information Retrieval Models based on Story Evolution - Temporal Information Retrieval and Narrative Extraction - Narrative-focused Search in Text Collections - Event and Entity importance Estimation in Narratives

++ Submission Guidelines ++ We invite two kinds of submissions: - Research papers (max 7 pages + references) - Demos and position papers (max 5 pages + references)

Papers must be submitted electronically in PDF format through EasyChair ( https://easychair.org/conferences/?conf=text2story2021). All submissions must be in English and formatted according to Springer LNCS style ( http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines )

Submissions will be peer-reviewed by at least two members of the programme 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.

++ Invited Speakers ++ TBA

++ 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 (Kyoto University, Japan) Sumit Bhatia (IBM Research AI, India) Mark Finlayson (Florida International University, USA)

++ Proceedings Chair ++ − Conceição Rocha (INESC TEC) − João Paulo Cordeiro (INESC TEC; University of Beira Interior)

++ Web and Dissemination Chair ++ − Arian Pasquali (Citizenlab) − Behrooz Mansouri (Rochester Institute of Technology) - Alexandre Ribeiro (INESC TEC) - Jeffery Ansah (Corvid AI)

++ Program Committee ++ Álvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (École polytechnique fédérale de Lausanne) António Horta Branco (University of Lisbon) Arian Pasquali (CitizenLab) Brenda Santana (Universidade Federal do Rio Grande do Sul) Bruno Martins (IST and INESC-ID - Instituto Superior Técnico, University of Lisbon) Daniel Gomes (FCT/Arquivo.pt) Daniel Loureiro (University of Porto) Demian Gholipour (University College Dublin) Denilson Barbosa (University of Alberta) Deya Banisakher (Florida International University) Dhruv Gupta (Max Planck Institute for Informatics) Dwaipayan Roy (Indian Statistical Institute, Kolkata) Evelin Amorim (INESC TEC) Florian Boudin (Université de Nantes) Gaël Dias (Université de Caen Normandie) Grigorios Tsoumakas (Aristotle University of Thessaloniki) Henrique Lopes Cardoso (University of Porto) Ismail Sengor Altingovde (Middle East Technical University) Jeffery Ansah (Corvid AI) Jeremy Pickens (OpenText) João Paulo Cordeiro (INESC TEC; Universidade da Beira do Interior) Kiran Bandeli (University of Arkansas at Little Rock) Ludovic Moncla (INSA Lyon) Marc Spaniol (Université de Caen Normandie) Nina Tahmasebi (University of Gothenburg) Nuno Moniz (INESC TEC & University of Porto) Pablo Gamallo (University of Santiago de Compostela) Paulo Quaresma (Universidade de Évora) Preslav Nakov (Qatar Computing Research Institute (QCRI)) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) Sebastiao Miranda (Priberam) Sérgio Nunes (INESC TEC & University of Porto) Udo Kruschwitz (University of Regensburg) Yihong Zhang (Osaka University) Yating Zhang (Alibaba)

++ Contacts ++ Website: http://text2story21.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2021 at easychair.org -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 6723 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20201216/396d7838/attachment.txt>

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