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» A practical text summarizer by paragraph extraction for Thai
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IRAL
2003
ACM
13 years 10 months 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
CONTEXT
2007
Springer
13 years 11 months ago
Thai Text Coherence Structuring with Coordinating and Subordinating Relations for Text Summarization
Text summarization with the consideration of coherence can be achieved by using discourse processing with the Rhetorical Structure Theory (RST). Additional problems on relational a...
Thana Sukvaree, Asanee Kawtrakul, Jean Caelen
DILS
2006
Springer
13 years 8 months ago
Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...
Tobias Kuhn, Loïc Royer, Norbert E. Fuchs, Mi...
DL
1999
Springer
187views Digital Library» more  DL 1999»
13 years 9 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...
JUCS
2010
213views more  JUCS 2010»
13 years 3 months ago
Mining Feature-Opinion in Online Customer Reviews for Opinion Summarization
: Online customer reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. In web pages, the reviews are ...
Gamgarn Somprasertsri, Pattarachai Lalitrojwong