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» Extractive summarization using a latent variable model
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IAT
2008
IEEE
15 years 9 months ago
Generating Personalized Summaries Using Publicly Available Web Documents
Many Knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from s...
Chandan Kumar, Prasad Pingali, Vasudeva Varma
105
Voted
ACL
2011
14 years 6 months ago
Jointly Learning to Extract and Compress
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein
112
Voted
ACL
2004
15 years 4 months ago
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
116
Voted
EMNLP
2010
15 years 17 days ago
Summarizing Contrastive Viewpoints in Opinionated Text
This paper presents a two-stage approach to summarizing multiple contrastive viewpoints in opinionated text. In the first stage, we use an unsupervised probabilistic approach to m...
Michael Paul, ChengXiang Zhai, Roxana Girju
ICWSM
2010
15 years 4 months ago
TweetMotif: Exploratory Search and Topic Summarization for Twitter
We present TweetMotif, an exploratory search application for Twitter. Unlike traditional approaches to information retrieval, which present a simple list of messages, TweetMotif g...
Brendan O'Connor, Michel Krieger, David Ahn