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» Document Summarization Using Conditional Random Fields
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ACL
2009
13 years 5 months ago
Markov Random Topic Fields
Most approaches to topic modeling assume an independence between documents that is frequently violated. We present an topic model that makes use of one or more user-specified grap...
Hal Daume III
SIGIR
1999
ACM
14 years 5 hour ago
Summarizing Text Documents: Sentence Selection and Evaluation Metrics
Human-quality text summarization systems are di cult to design, and even more di cult to evaluate, in part because documents can di er along several dimensions, such as length, wri...
Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, ...
HICSS
2000
IEEE
118views Biometrics» more  HICSS 2000»
14 years 3 days ago
Discourse Segmentation in Aid of Document Summarization
This paper describes work to enhance a sentencebased summarizer with notions of salience, dynamicallyadjustable summary size, discourse segmentation, and awareness of topic shifts...
Branimir Boguraev, Mary S. Neff
WEBI
2007
Springer
14 years 1 months ago
Emotion Classification Using Web Blog Corpora
In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The...
Changhua Yang, Kevin Hsin-Yih Lin, Hsin-Hsi Chen
ACL
2010
13 years 5 months ago
Identifying Non-Explicit Citing Sentences for Citation-Based Summarization
Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose ...
Vahed Qazvinian, Dragomir R. Radev