Narrative Extraction from Texts (Text2Story), special issue of Information Processing and Management
Text2Story 2019
- URL: https://www.journals.elsevier.com/information-processing-and-management/call-for-papers/special-issue-on-narrative-extraction-from-texts-text2story
- Call For Paper Type: SI
- H2 Index: 0
- Submission Date: 2018-07-16
- Notification Date: 2018-11-05
- Final Version Date: 2019-02-04
Data Mining & Analysis Databases & Information Systems
CALL FOR PAPERS: Narrative Extraction from Texts (Text2Story)
A special issue of Information Processing and Management https://www.journals.elsevier.com/information-processing-and-management/call-for-papers/special-issue-on-narrative-extraction-from-texts-text2story
We invite submissions for a special issue of Information Processing and Management on Narrative Extraction from Texts.
===== Overview =====
The increasing availability of text information in the form of news articles, comments or posts in social networks poses new challenges for those who aim to understand the storyline of an event. Although understanding natural language text has improved over the last couple of years with several research works emerging on the grounds of information extraction and text mining, the problem of constructing consistent narrative structures is yet to be solved. It is not only the algorithms that need to be improved, but also the state-of-the-art that needs to advance in order to provide methods that automatically identify, interpret and relate the different elements of a narrative which will be likely spread from different sources. In this special issue we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. More specifically, we aim to capture a wide range of multidisciplinary issues related to the text-to-narrative-structure and to its various related tasks. This is a very rich line of research that poses many challenging problems in information retrieval, text mining, information extraction, computational linguistics and automatic production of media content.
===== Scope & Topics of Interest =====
Research works submitted to the special issue should foster the scientific advance on all aspects of storyline generation from texts including but not limited to narrative and content generation, formal representation, and visualization of narratives. This includes the following topics:
- Event Identification
- Narrative Representation Language
- Sentiment and Opinion Detection
- Argumentation Mining
- Narrative Summarization
- Storyline Visualization
- Temporal Aspects of Storylines
- Timeline Generation
- 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 Estimation
- Fact Checking
- Bots Influence
===== Important dates =====
- Manuscript Submission deadline: July 16th, 2018
- Acceptance Notification Date: November 5th, 2018
- Final Manuscript Due Date: February 4th, 2019
- Publication date: Spring 2019
Contributions must not have been previously published or be under consideration for publication elsewhere, although substantial extensions of conference or workshop papers will be considered. All submissions should be prepared according to the Guide for Authors at http://www.elsevier.com/journals/information-processing-and-management/0306-4573/guide-for-authors.
Submissions should be made through EVISE, please visit the Journal Homepage: https://www.journals.elsevier.com/information-processing-and-management/ to submit your article.
===== Guest Editors =====
- Alípio M. Jorge (INESC TEC; University of Porto, Portugal)
- Ricardo Campos (INESC TEC; Polytechnic Institute of Tomar, Tomar, Portugal)
- Adam Jatowt (Kyoto University, Japan)
- Sérgio Nunes (INESC TEC; University of Porto, Portugal)
Primary contact: amjorge@fc.up.pt
===== Editorial Board =====
- Gabriella Pasi (University of Milano-Bicocca)
- Klaus Berberich (Max Planck Institute for Informatics)
- Marc Spaniol (Normandie University)
- Eric Gaussier (University of Grenoble Alps)
- Nicola Ferro (University of Padua)
- Miguel Martinez-Alvarez (Signal)
- Dhruv Gupta (Max Planck Institute for Informatics)
- Jannik Strötgen (Bosch center for artificial intelligence)
- Federico Nanni (University of Mannheim)
- Yihong Zhang (Kyoto University)
- Udo Kruschwitz (University of Essex)
- Conceição Rocha (LIAAD INESC TEC)
- João Paulo Cordeiro (University of Beira Interior)
- Grace Hui Yang (Georgetown University)
- Denilson Barbosa (University of Alberta)
- Mark Finlayson (Florida International University)
- Sumit Bhatia (IBM)
- Yating Zhang (Alibaba)
- Jaime Arguello (University of North Carolina at Chapel Hill)
- Gerasimos Lampouras (The University of Sheffield)
- Bruno Martins (University of Lisbon)
- Gael Dias (University of Caen)
- Henrique Lopes Cardoso (University of Porto)
- Pablo Gamallo (University of Santiago de Compostela)
- António Horta Branco (University of Lisbon)
- Fernando Batista (INESC-ID & ISCTE-IUL)
- Álvaro Figueira (INESC TEC & University of Porto)
- Paulo Quaresma (University of Evora)
- Pedro Saleiro (University of Chicago)
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