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» A Trainable Document Summarizer
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ADMA
2006
Springer
139views Data Mining» more  ADMA 2006»
15 years 3 months ago
Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our foc...
Chong Huang, YongHong Tian, Tiejun Huang, Wen Gao
SIGIR
2006
ACM
15 years 3 months ago
Stylistic text segmentation
This paper focuses on a method for the stylistic segmentation of text documents. Our technique involves mapping the change in a feature throughout a text. We use the linguistic fe...
Paul J. Chase, Shlomo Argamon
62
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COLING
2008
14 years 11 months ago
A Framework for Identifying Textual Redundancy
The task of identifying redundant information in documents that are generated from multiple sources provides a significant challenge for summarization and QA systems. Traditional ...
Kapil Thadani, Kathleen McKeown
COLING
2010
14 years 4 months ago
A Method for Automatically Generating a Mediatory Summary to Verify Credibility of Information on the Web
In this paper, we propose a method for mediatory summarization, which is a novel technique for facilitating users' assessments of the credibility of information on the Web. A...
Hideyuki Shibuki, Takahiro Nagai, Masahiro Nakano,...
COLING
2008
14 years 11 months ago
Mind the Gap: Dangers of Divorcing Evaluations of Summary Content from Linguistic Quality
In this paper, we analyze the state of current human and automatic evaluation of topic-focused summarization in the Document Understanding Conference main task for 2005-2007. The ...
John M. Conroy, Hoa Trang Dang