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ACL
1998
13 years 7 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
CIKM
2005
Springer
13 years 11 months ago
Structure-based query-specific document summarization
Summarization of text documents is increasingly important with the amount of data available on the Internet. The large majority of current approaches view documents as linear sequ...
Ramakrishna Varadarajan, Vagelis Hristidis
GIR
2006
ACM
13 years 12 months ago
Associating spatial patterns to text-units for summarizing geographic information
Retrieving data based not only on key words is a challenge. We worked on semi-structured data (cultural heritage corpora). Our project aimed at getting the most relevant text-unit...
Julien Lesbegueries, Christian Sallaberry, Mauro G...
NAACL
2007
13 years 7 months ago
Question Answering Using Integrated Information Retrieval and Information Extraction
This paper addresses the task of providing extended responses to questions regarding specialized topics. This task is an amalgam of information retrieval, topical summarization, a...
Barry Schiffman, Kathleen McKeown, Ralph Grishman,...
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
13 years 4 months ago
AnswerArt - Contextualized Question Answering
The focus of this paper is a question answering system, where the answers are retrieved from a collection of textual documents. The system also includes automatic document summariz...
Lorand Dali, Delia Rusu, Blaz Fortuna, Dunja Mlade...