Intelligent Analysis and Processing of Web News Content

WI-IAT 2009
The 2009 IEEE /WIC / ACM International Conferences

Web Intelligence (WI'09)
Intelligent Agent Technology (IAT'09)

15-18 September 2009, Universita' degli Studi di Milano Bicocca, Milano, Italy

WORKSHOP ON: Intelligent Analysis and Processing of Web News Content

September 15, 2009

Program:

• Constructing Event Templates from Written News - Mitja Trampuš and Dunja Mladenić [slides]
• Identifying Differences in News Coverage Between Cultural/Ethnic Groups - Charles Ward, Mikhail Bautin, and Steven Skiena [slides]
• Propagating Fine-Grained Topic Labels in News Snippets - Luis Sarmento, Sérgio Nunes, Jorge Teixeira, and Eugenio Oliveira [slides]
• The Europe Media Monitor (EMM) family of media monitoring applications - Ralf Steinberger, Mijail Kabadjov, Bruno Pouliquen, Erik van der Goot [slides]
• Invited Talk:
  Multilingual Statistical News Summarisation: Preliminary Experiments with English - Mijail Kabadjov, Josef Steinberger, Bruno Pouliquen, Ralf Steinberger, and Massimo Poesio [slides]
• Opinion Mining on Newspaper Quotations - Alexandra Balahur, Ralf Steinberger, Erik van der Goot, and Bruno Pouliquen [slides]
• Detecting Macro-Patterns in the European Mediasphere - Ilias Flaounas, Marco Turchi, and Nello Cristianini [slides]
• STORIES in time: a graph-based interface for news tracking and discovery - Bettina Berendt [slides]

The content of news outlets - increasingly available freely online - contains
information of immense scientific and commercial potential, as well as belonging
to a very specific genre of textual data.

The content of news outlets is both a relatively focused domain, largely
looking at the same set of events, and at the same time unstructured and open
ended. The understanding and analysis of news content - be it text or speech,
mono or multi lingual, etc - is a challenging and promising line of research, with
its own specific features and character.

Various projects exist in this direction, aimed either at simple aggregation,
or at translation, or summarisation, or content analysis of news. We will gather
the scientific and technical community working on these applications to discuss
scientific and technological aspects, lessons learnt, and open problems in this
growing field, at the intersection of information extraction, machine learning,
machine translation, pattern discovery, etc.

Technologies in this area span the entire domain of Pattern Analysis: from
indexing to information extraction, from speech recognition to machine transla-
tion, from pattern discovery to text generation and summarisation, to network
patterns analysis. Besides connecting to user modelling and personalisation,
the method also is a form of open source intelligence - see the applications to
epidemic detection for example. The key goal of the meeting is the sharing of
experiences, and the comparison of results solutions, and long term goals.

Final Program:
the final program is available (here) at page 21.

[THIS WORKSHOP IS ALSO AN OFFICIAL EVENT OF THE PASCAL NETWORK] 

Organizers:
Nello Cristianini (University of Bristol)
Marco Turchi (University of Bristol)

Program Committee:

Marko Grobelnik ( J. Stefan Institute)
Antonio Gulli (Ask.com/University of Pisa)
Steven Skiena (State University of New York)
Ralf Steinberger ( European Commission - Joint Research Centre (JRC))
Marco Turchi (University of Bristol)
Nello Cristianini (University of Bristol)
Justin Lewis (University of Cardiff)

Important Dates:

• Due date for full workshop papers submission: April 30, 2009 (EXPIRED)
  
• Notification of paper acceptance to authors: June 10, 2009 (EXPIRED)
  
• Camera-ready of accepted papers: June 30, 2009

Submission:
The length of accepted papers should NOT exceed 4 pages (IEEE-CS format (here), extra payment is only available for one more extra page).
For authors, please submit through the WI/IAT-2009 Workshop Paper Submission page (here).

Accepted workshop papers will be published in the Proceedings of WI-IAT09 Workshops, IEEE-CS Press (here).

Contact:
Please send inquiries to iapwnc@googlemail.com.