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IJCNLP
2005
Springer
14 years 4 months ago
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
ANLP
1997
77views more  ANLP 1997»
14 years 9 days ago
Multilingual Generation and Summarization of Job Adverts: the TREE Project
A multilingual Internet-based employment advertisement system is described. Job ads are submitted as e-mailtexts, analysed by an example-based pattern matcher and stored in langua...
Harold L. Somers, Bill Black, Joakim Nivre, Torbj&...
ADMA
2006
Springer
139views Data Mining» more  ADMA 2006»
14 years 5 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
KCAP
2003
ACM
14 years 4 months ago
Towards topic-based summarization for interactive document viewing
Our research aims at interactive document viewers that can select and highlight relevant text passages on demand. Another related objective is the generation of topic-specific su...
Achim G. Hoffmann, Son Bao Pham
PRICAI
2004
Springer
14 years 4 months ago
Coherent Arrangement of Sentences Extracted from Multiple Newspaper Articles
Multi-document summarization is a challenge to information overload problem to provide a condensed text for a number of documents. Most multi-document summarization systems make u...
Naoaki Okazaki, Yutaka Matsuo, Mitsuru Ishizuka