CALL FOR PAPERS: Narrative Extraction from Texts (Text2Story)

A special issue of Information Processing and Management

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

Submissions should be made through EVISE, please visit the Journal
Homepage: to
submit your article.

===== Guest Editors =====

- Alípio M. Jorge (INESC TEC; University of Porto, Portugal)

- Ricardo Campos (INESC TEC; Polytechnic Institute of Tomar, Tomar,

- Adam Jatowt (Kyoto University, Japan)

- Sérgio Nunes (INESC TEC; University of Porto, Portugal)

Primary contact: [log in to unmask]

===== 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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