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» Sentence Reduction for Automatic Text Summarization
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SIGIR
1999
ACM
13 years 10 months ago
The Decomposition of Human-Written Summary Sentences
We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...
Hongyan Jing, Kathleen McKeown
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
13 years 7 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...
ICASSP
2011
IEEE
12 years 10 months ago
Concept-based classification for multi-document summarization
Documents often contain inherently many concepts reflecting specific and generic aspects. To automatically generate a short summary text of documents on similar topics, it is im...
Asli Çelikyilmaz, Dilek Hakkani-Tür
ACL
2011
12 years 10 months ago
Automatically Evaluating Text Coherence Using Discourse Relations
We present a novel model to represent and assess the discourse coherence of text. Our model assumes that coherent text implicitly favors certain types of discourse relation transi...
Ziheng Lin, Hwee Tou Ng, Min-Yen Kan
IPM
2007
113views more  IPM 2007»
13 years 6 months ago
Two uses of anaphora resolution in summarization
We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a signifi...
Josef Steinberger, Massimo Poesio, Mijail Alexandr...