text summarization

MultiLing 2013 - Multilingual Multi-document Summarization - Call for Contributors

Abbreviated Title: 
MultiLing 2013
Other
Submission Deadline: 
1 Mar 2013
Event Dates: 
9 Aug 2013
Location: 
National Palace of Culture
City: 
Sofia
Country: 
Bulgaria
Contact: 
George Giannakopoulos
Contact: 
George Petasis
Contact Email: 
ggianna [at] iit [dot] demokritos [dot] gr
Contact Email: 
petasis [at] iit [dot] demokritos [dot] gr

Call for Data Contributors - MultiLing 2013
(Please feel free to forward this call. Apologies for cross-postings.)

Overview
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MultiLing 2013 is a workshop, held within ACL 2013, which covers three subdomains of
Natural Language Processing, focused on the multilingual aspect of summarization.
The MultiLing 2013 workshop builds upon the Text Analysis Conference (TAC)
MultiLing Pilot task of 2011, where systems were asked to generate fluent, representative
summaries (around 250 words) for each of 10 predefined topics per language.

6th DGfS-CL Computational Linguistics Fall School 2011

Call for Participation
Event Dates: 
29 Aug 2011 - 9 Sep 2011
Location: 
University of Zurich
City: 
Zurich
Country: 
Switzerland
Contact: 
Michael Hess
Contact: 
Martin Volk
Contact: 
Jeannette Roth
Contact: 
Gerold Schneider
Contact Email: 
fallschool2011 [at] cl [dot] uzh [dot] ch

CALL FOR PARTICIPATION

6th DGfS-CL Computational Linguistics Fall School 2011

The Computational Linguistics Fall School is a biennial event for students who wish to broaden their knowledge of techniques and methods used in natural language processing, in particular of innovative and emerging fields in computational linguistics not traditionally taught in standard degree programmes.

Date: August 29th - September 9th, 2011

Venue: University of Zurich, Switzerland

Scientific organizer: German Linguistic Society (Deutsche Gesellschaft
für Sprachwissenschaft)

Canadian AI, St. John's, Newfoundland, May 2011, Workshop on text summarization

Abbreviated Title: 
TS11
Call for Papers
Submission Deadline: 
7 Mar 2011
Event Dates: 
24 May 2011
City: 
St. John's
State: 
Newfoundland
Country: 
Canada
Contact: 
Alistair Kennedy
Contact: 
Stan Szpakowicz
Contact Email: 
akennedy [at] site [dot] uottawa [dot] ca
Contact Email: 
szpak [at] site [dot] uottawa [dot] ca

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Description
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Automatic text summarization (TS) has been a matter of active research for over a decade now. Doing TS really well would require insights from statistics, machine learning, linguistics and cognitive science, to name a few. Despite a great deal of research effort, state-of-the-art TS systems achieve summary quality much lower than even untrained human summarizers. There is room for improvement and much interesting work to do.

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