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CICLING
2007
Springer
14 years 4 months ago
Clustering Narrow-Domain Short Texts by Using the Kullback-Leibler Distance
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
David Pinto, José-Miguel Benedí, Pao...
ICASSP
2008
IEEE
14 years 4 months ago
Using corpus and knowledge-based similarity measure in Maximum Marginal Relevance for meeting summarization
MMR (Maximum Marginal Relevance) is widely used in summarization for its simplicity and efficacy, and has been demonstrated to achieve comparable performance to other approaches ...
Shasha Xie, Yang Liu
AAAI
2007
14 years 4 days ago
Topic Segmentation Algorithms for Text Summarization and Passage Retrieval: An Exhaustive Evaluation
In order to solve problems of reliability of systems based on lexical repetition and problems of adaptability of languagedependent systems, we present a context-based topic segmen...
Gaël Dias, Elsa Alves, José Gabriel Pe...
IJCNLP
2005
Springer
14 years 3 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
DASFAA
2007
IEEE
240views Database» more  DASFAA 2007»
14 years 4 months ago
A Comparative Study of Ontology Based Term Similarity Measures on PubMed Document Clustering
Recent research shows that ontology as background knowledge can improve document clustering quality with its concept hierarchy knowledge. Previous studies take term semantic simila...
Xiaodan Zhang, Liping Jing, Xiaohua Hu, Michael K....