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Text2Story 2020 : Third International Workshop on Narrative Extraction from Texts

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Link: http://text2story20.inesctec.pt
 
When Apr 14, 2020 - Apr 14, 2020
Where Lisbon, Portugal
Submission Deadline Jan 10, 2020
Notification Due Feb 18, 2020
Final Version Due Mar 23, 2020
Categories    NLP
 

Call For Papers

++ CALL FOR PAPERS ++

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Third International Workshop on Narrative Extraction from Texts (Text2Story'20)

held in conjunction with the 42nd European Conference on Information Retrieval (ECIR'20)

Lisbon, Portugal, April 14th, 2020

Website: http://text2story20.inesctec.pt
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++ Important Dates ++
- Submission deadline: January 10th, 2020
- Acceptance Notification Date: February 18th, 2020
- Camera-ready copies: March 23rd, 2020
- Workshop: April 14th, 2020


++ Overview ++
Building upon the success of the previous two editions of the workshop (Text2Story@ECIR’18 and Text2Story@ECIR’19), and the subsequent special issue hosted at IPM journal [https://www.sciencedirect.com/journal/information-processing-and-management/vol/56/issue/5], we will organize the third edition of the Text2Story Workshop on Narrative Extraction from Texts at ECIR’20. 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 third edition of the workshop, we aim to discuss scientific advances on all aspects of storyline identification from texts including but not limited to narrative extraction and understanding, content generation, formal representation, and visualization of narratives. This includes the following topics (not necessarily complete):

- Event Identification
- Narrative Representation
- Information Retrieval Models based on Story Evolution
- Narrative-focused Search in Text Collections
- Temporal Information Retrieval and Narrative Extraction
- Sentiment and Opinion Detection
- Argumentation Mining
- Narrative Summarization
- Multi-modal Summarization
- Storyline Visualization
- Temporal Aspects of Storylines
- Story Evolution and Shift Detection
- Causal Relation Extraction and Arrangement
- Evaluation Methodologies for Narrative Extraction
- Big data applied to Narrative Extraction
- Resources and Dataset showcase
- Personalization and Recommendation
- User Profiling and User Behavior Modeling
- Credibility
- Models for detection and removal of bias in generated stories
- Ethical and fair narrative generation
- Fact Checking
- Bots Influence
- Bias in Text Documents
- Automatic Timeline Generation
- Narratives for explainable AI


++ 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=text2story2020). 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. All papers will also be presented in an interactive poster session.

++ 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)

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

++ Web Chair ++
− Arian Pasquali (INESC TEC)

++ Dissemination Chair ++
− Behrooz Mansouri (Rochester Institute of Technology)

++ Program Committee ++
Álvaro Figueira (INESC TEC & University of Porto)
Andreas Spitz (École polytechnique fédérale de Lausanne)
António Horta Branco (University of Lisbon)
Arian Pasquali (Signal AI)
Bruno Martins (IST and INESC-ID - Instituto Superior Técnico, University of Lisbon)
Daniel Gomes (FCT/Arquivo.pt)
Daniel Loureiro (INESC TEC & University of Porto)
Denilson Barbosa (University of Alberta)
Dhruv Gupta (Max Planck Institute for Informatics)
Dwaipayan Roy (ISI Kolkata, India)
Dyaa Albakour (Signal AI)
Gaël Dias (Normandie University)
Henrique Lopes Cardoso (University of Porto)
Ismail Sengor Altingovde (Middle East Technical University)
Jeffery Ansah (BHP)
Jeremy Pickens (OpenText)
João Magalhães (Universidade Nova de Lisboa)
Ludovic Moncla (INSA Lyon)
Marc Spaniol (Université de Caen Normandie)
Mark Finlayson (Florida International University)
Mengdie Zhuang (The University of Sheffield)
Nina Tahmasebi (University of Gothenburg)
Nuno Moniz (LIAAD/INESC TEC)
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 Essex)
Vítor Mangaravite (UFMG)
Yihong Zhang (Kyoto University)


++ Contacts ++
Website: http://text2story20.inesctec.pt

Related Resources

ACL 2020   Annual Conference of the Association for Computational Linguistics
Text2Story 2019   Text2Story 2019 - Second International Workshop on Narrative Extraction from Texts
LREC 2020   12th Conference on Language Resources and Evaluation
Text2Story 2019   Narrative Extraction from Texts (Text2Story), special issue of Information Processing and Management
user2agent 2019   IUI 2019 Workshop on User-Aware Conversational Agents
NoDaLiDa 2019   [FNP 2019] Second Financial Narrative Processing Workshop
NCO 2020   6th International Conference on Networks and Communications
SLIE 2020   Semantic, Logics, Information Extraction and AI
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