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IPM
2007
145views more  IPM 2007»
13 years 7 months ago
Text mining techniques for patent analysis
Patent documents contain important research results. However, they are lengthy and rich in technical terminology such that it takes a lot of human efforts for analyses. Automatic...
Yuen-Hsien Tseng, Chi-Jen Lin, Yu-I Lin
SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
14 years 4 months ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
EMNLP
2004
13 years 9 months ago
LexPageRank: Prestige in Multi-Document Text Summarization
Multidocument extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Centrality is typically defined in term...
Günes Erkan, Dragomir R. Radev
IRAL
2003
ACM
14 years 26 days ago
A practical text summarizer by paragraph extraction for Thai
In this paper, we propose a practical approach for extracting the most relevant paragraphs from the original document to form a summary for Thai text. The idea of our approach is ...
Chuleerat Jaruskulchai, Canasai Kruengkrai
SAC
2008
ACM
13 years 7 months ago
Pattern ranking for semi-automatic ontology construction
When developing semantic applications, the construction of ontologies is a crucial part. We are developing a semiautomatic ontology construction approach, OntoCase, relying on ont...
Eva Blomqvist