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» Topic-based clustering of news articles
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ACL
2008
13 years 9 months ago
Inferring Activity Time in News through Event Modeling
Many applications in NLP, such as questionanswering and summarization, either require or would greatly benefit from the knowledge of when an event occurred. Creating an effective ...
Vladimir Eidelman
NAACL
2003
13 years 8 months ago
Columbia's Newsblaster: New Features and Future Directions
Columbia’s Newsblaster tracking and summarization system is a robust system that clusters news into events, categorizes events into broad topics and summarizes multiple articles...
Kathleen McKeown, Regina Barzilay, John Chen, Davi...
COLING
2002
13 years 7 months ago
Selforganizing Classification on the Reuters News Corpus
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...
Stefan Wermter, Chihli Hung
CIKM
2007
Springer
14 years 1 months ago
Finding and linking incidents in news
News reports are being produced and disseminated in overwhelming volume, making it difficult to keep up with the newest information. Most previous research in automatic news organ...
Ao Feng, James Allan
SIGIR
2002
ACM
13 years 7 months ago
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...
Hongyuan Zha