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» A Web-Trained Extraction Summarization System
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ICASSP
2010
IEEE
13 years 7 months ago
Summarization- and learning-based approaches to information distillation
Information distillation is the task that aims to extract relevant passages of text from massive volumes of textual and audio sources, given a query. In this paper, we investigate...
Boriska Toth, Dilek Hakkani-Tür, Sibel Yaman
COLING
2000
13 years 9 months ago
The Week at a Glance - Cross-language Cross-document Information Extraction and Translation
Work on the production of texts in English describing instances of a particular event type from multiple news sources will be described. A system has been developed which extracts...
James R. Cowie, Yevgeny Ludovik, Hugo Molina-Salga...
IJCNLP
2005
Springer
14 years 1 months ago
CTEMP: A Chinese Temporal Parser for Extracting and Normalizing Temporal Information
Temporal information is useful in many NLP applications, such as information extraction, question answering and summarization. In this paper, we present a temporal parser for extra...
Mingli Wu, Wenjie Li, Qin Lu, Baoli Li
WWW
2007
ACM
14 years 8 months ago
U-REST: an unsupervised record extraction system
In this paper, we describe a system that can extract record structures from web pages with no direct human supervision. Records are commonly occurring HTML-embedded data tuples th...
Yuan Kui Shen, David R. Karger
SIGIR
2008
ACM
13 years 7 months ago
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...