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» A Trainable Document Summarizer
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IJCNLP
2005
Springer
14 years 29 days ago
Document Clustering with Grouping and Chaining Algorithms
Document clustering has many uses in natural language tools and applications. For instance, summarizing sets of documents that all describe the same event requires first identifyi...
Yllias Chali, Soufiane Noureddine
ACL
2006
13 years 8 months ago
Bayesian Query-Focused Summarization
We present BAYESUM (for "Bayesian summarization"), a model for sentence extraction in query-focused summarization. BAYESUM leverages the common case in which multiple do...
Hal Daumé III, Daniel Marcu
ICASSP
2008
IEEE
14 years 1 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
ACL
2009
13 years 5 months ago
An Integrated Multi-document Summarization Approach based on Word Hierarchical Representation
This paper introduces a novel hierarchical summarization approach for automatic multidocument summarization. By creating a hierarchical representation of the words in the input do...
Ouyang You, Wenjie Li, Qin Lu
SIGIR
2010
ACM
13 years 11 months ago
Many are better than one: improving multi-document summarization via weighted consensus
Given a collection of documents, various multi-document summarization methods have been proposed to generate a short summary. However, few studies have been reported on aggregatin...
Dingding Wang, Tao Li