CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Classic View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

Topic: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Content-Type: text/plain; charset="UTF-8"
Date: Fri, 11 Jan 2019 23:59:41 +0900
Reply-To: Adam <[log in to unmask]>
MIME-Version: 1.0
Message-ID: <[log in to unmask]>
Content-Transfer-Encoding: quoted-printable
Sender: "ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
From: Adam <[log in to unmask]>
Parts/Attachments: text/plain (172 lines)
*** Apologies for cross-posting ***

++ CALL FOR PAPERS ++

******************************************************************************************
Second International Workshop on Narrative Extraction from Texts
(Text2Story'19@ECIR'19)
held in conjunction with the 41st European Conference on Information
Retrieval
Cologne, Germany, April 14th, 2019

Website: http://text2story19.inesctec.pt

******************************************************************************************

++ Important Dates ++

- Submission deadline: January 28th, 2019
- Acceptance Notification Date: March 4th, 2019
- Camera-ready copies: March 22nd, 2019
- Workshop: April 14th, 2019

++ 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 workshop 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.


++ List of Topics ++

Research works submitted to the workshop 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 (not
limited):


-  Event Identification
-  Narrative Representation Language
-  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

++ 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 Easy Chair (
https://easychair.org/conferences/?conf=text2story2019). All submissions
must be in English and formatted according to LNCS style (
http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
)

Submissions will be peer-reviewed by at least three 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 also presented in an interactive
poster session.

 ++ Invited Speakers ++

TBA


++ Organizing committee ++

Alípio M. Jorge (INESC TEC; University of Porto, Portugal)
Ricardo Campos (INESC TEC; Polytechnic Institute of Tomar, Tomar, Portugal)
Adam Jatowt (Kyoto University, Japan)
Sumit Bhatia (IBM Research AI, India)


++ Proceedings Chair ++

− Conceição Rocha (LIAAD INESC TEC)
− João Paulo Cordeiro (INESC TEC; University of Beira Interior)

++ Web Chair ++

− Arian Pasquali (INESC TEC)

++ Dissemination Chair ++

− Vitor Mangaravite (INESC TEC)

++ Program Committee ++

Nicola Ferro (University of Padova)
Miguel Martinez-Alvarez (Signal)
João Magalhães (New University of Lisbon)
Federico Nanni (University of Mannheim)
Dhruv Gupta (Max Planck Institute for Informatics)
Yihong Zhang (Kyoto University)
Nuno Moniz (LIAAD/INESC TEC)
Bruno Martins (IST and INESC-ID - Instituto Superior Técnico, University of
Lisbon)
Mark Finlayson (Florida International University)
Marc Spaniol (Université de Caen Normandie)
Nina Tahmasebi (University of Gothenburg)
Florian Boudin (Université de Nantes)
Henrique Lopes Cardoso (University of Porto)
Udo Kruschwitz (University of Essex)
Mengdie Zhuang (The University of Sheffield)
Daniel Loureiro (University of Porto)
Daniel Gomes (FCT/Arquivo.pt)
Pablo Gamallo (University of Santiago de Compostela)
Paulo Quaresma (Universidade de Evora)
Sérgio Nunes (University of Porto)
Álvaro Figueira (University of Porto)
Gaël Dias (Normandie University)
Gerasimos Lampouras (The University of Sheffield)


++ Contacts ++

Website: http://text2story19.inesctec.pt

For general enquiries regarding the workshop, reach the organizers at:
[log in to unmask], [log in to unmask], [log in to unmask],
[log in to unmask]

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2