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NAACL
2010
14 years 7 months ago
Multi-document Summarization via Budgeted Maximization of Submodular Functions
We treat the text summarization problem as maximizing a submodular function under a budget constraint. We show, both theoretically and empirically, a modified greedy algorithm can...
Hui Lin, Jeff Bilmes
ICASSP
2010
IEEE
14 years 9 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
BMCBI
2005
104views more  BMCBI 2005»
14 years 9 months ago
Scoring functions for transcription factor binding site prediction
Background: Transcription factor binding site (TFBS) prediction is a difficult problem, which requires a good scoring function to discriminate between real binding sites and backg...
Markus T. Friberg, Peter von Rohr, Gaston H. Gonne...
ICWSM
2009
14 years 7 months ago
Content Based Recommendation and Summarization in the Blogosphere
This paper presents a stochastic graph based method for recommending or selecting a small subset of blogs that best represents a much larger set. within a certain topic. Each blog...
Ahmed Hassan, Dragomir R. Radev, Junghoo Cho, Amru...
ACL
2004
14 years 10 months ago
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down&qu...
Bo Pang, Lillian Lee