Semantic similarity between sentences through approximate tree matching

Lecture Notes in Computer Science

Volumn 3523, Issue II, 2005, Pages 638-646

  Ribadas, Francisco Jose ^a   Vilares, Manuel ^a   Vilares, Jesus ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; ERROR ANALYSIS; INFORMATION RETRIEVAL; PATTERN MATCHING; TREES (MATHEMATICS);

COMPUTATION PROCESSES; INFORMATION EXTRACTION;

SEMANTICS;

EID: 25144467371     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11492542_78     Document Type: Conference Paper

References (5)

1. D. Lin. An information-theoretic definition of similarity. Proc. of 15th Int. Conf. on Machine Learning, 296-304, 1998.
2. rd Text REtrieval Conference, 1994.
3. A.F. Smeaton, I. Quigley. Experiments on using semantic distances between words in image caption retrieval. Proc. of the 19th Annual Int. ACM Conf. on Research and Development in Information Retrieval, 174-180, 1996.
4. R.A. Wagner and M.J. Fischer. The string to string correction problem. Journal of the ACM, 21(1):168-173, 1974.
5. K. Zhang, D. Shasha, and J.T.L. Wang. Approximate tree matching in the presence of variable length don't cares. Journal of Algorithms, 16(1):33-66, 1994.