26.4829, Calls: Computational Ling/Italy

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LINGUIST List: Vol-26-4829. Fri Oct 30 2015. ISSN: 1069 - 4875.

Subject: 26.4829, Calls: Computational Ling/Italy

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Date: Fri, 30 Oct 2015 11:53:24
From: Udo Kruschwitz [udo at essex.ac.uk]
Subject: First International Workshop on Recent Trends in News Information Retrieval

 
Full Title: First International Workshop on Recent Trends in News Information Retrieval 
Short Title: NewsIR'16 

Date: 20-Mar-2016 - 20-Mar-2016
Location: Padua, Italy 
Contact Person: Udo Kruschwitz
Meeting Email: udo at essex.ac.uk
Web Site: http://research.signalmedia.co/newsir16/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 31-Jan-2016 

Meeting Description:

Mainstream media outlets are often among the most relevant, influential and powerful sources of information. This ranges from the influence that newspapers have on elections to the damage to a brand’s reputation that a negative article on a popular blog can cause.

Information Retrieval (IR) applied to news has been a popular research area for decades but it would be a mistake to assume that news search has been ‘solved’. Not only can algorithms still be improved but also there are serious gaps in the state of the art that need to be addressed.

In this workshop, we will stimulate discussion around new and powerful uses of IR applied to news sources. We invite contributions on any of the multiple IR tasks that can help solve real user problems in this area.

To accompany the workshop, we have released a new data collection suitable for many research projects. This consists of about 1 million recent news articles from a wide range of sources. One goal of the workshop is to define shared challenges using this data, such as news recommendation, deduplication, multi­-document summarization, event detection and clustering. We encourage submissions of applied research that uses this data, although this is not required.

Topics of Interest

Relevant topics of interest for NewsIR’16 include but are not limited to:

– Integration of traditional and social media
– Credibility, readability and controversy
– Bias and plurality in news
– News recommendation
– Temporal aspects of news
– Event and anomaly detection
– Diversification
– Summarization of multiple documents
– Information filtering
– User­-generated content (e.g., using comments to enhance news retrieval)
– De­-duplication and clustering of news articles
– Author identification and disambiguation
– Evaluation
– Data visualization

Organising Committee:

– Miguel Martinez­-Alvarez, Signal Media Ltd.
– Udo Kruschwitz, University of Essex
– Gabriella Kazai, Lumi
– Frank Hopfgartner, University of Glasgow
– David Corney, Signal Media Ltd.
– Ricardo Campos, Polytechnic Institute of Tomar / LIAAD­INESC TEC
– Dyaa Albakour, Signal Media Ltd.

Call for Papers:

Submission Details:

We welcome submissions of technical papers (4 pages), demos and position papers (2 pages). All papers should be formatted in the ACM double­-column style. Submissions will be peer-reviewed by at least three members of the programme committee. We plan to publish the papers as CEUR Workshop Proceedings.

Further information about the submission can be found here: http://research.signalmedia.co/newsir16/cfp.html




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