Pat-tree-based Keyword Extraction for Chinese Information Retrieval

  title={Pat-tree-based Keyword Extraction for Chinese Information Retrieval},
  author={Lee-Feng Chien and T.-I. Huang and M-C. Chien},
urgent need to promote Chinese in this paper we will raise the significance of keyword extraction using a new PAT-treebased approach, which is efficient in automatic keyword extraction from a set of relevant Chinese documents. This approach has been successfully applied in several IR researches, such as document classification, book indexing and relevance feedback. Many Chinese language processing applications therefore step ahead from character level to word/phrase level, 
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 264 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 157 extracted citations

264 Citations

Citations per Year
Semantic Scholar estimates that this publication has 264 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…