TY - GEN
T1 - A syntactic textual entailment system based on dependency parser
AU - Pakray, Partha
AU - Gelbukh, Alexander
AU - Bandyopadhyay, Sivaji
PY - 2010
Y1 - 2010
N2 - The development of a syntactic textual entailment system that compares the dependency relations in both the text and the hypothesis has been reported. The Stanford Dependency Parser has been run on the 2-way RTE-3 development set and the dependency relations obtained for a text and hypothesis pair has been compared. Some of the important comparisons are: subject-subject comparison, subject-verb comparison, object-verb comparison and cross subject-verb comparison. Corresponding verbs are further compared using the WordNet. Each of the matches is assigned some weight learnt from the development corpus. A threshold has been set on the fraction of matching hypothesis relations based on the development set. The threshold score has been applied on the RTE-4 gold standard test set using the same methods of dependency parsing followed by comparisons. Evaluation scores obtained on the test set show 54.75% precision and 53% recall for YES decisions and 54.45% precision and 56.2% recall for NO decisions.
AB - The development of a syntactic textual entailment system that compares the dependency relations in both the text and the hypothesis has been reported. The Stanford Dependency Parser has been run on the 2-way RTE-3 development set and the dependency relations obtained for a text and hypothesis pair has been compared. Some of the important comparisons are: subject-subject comparison, subject-verb comparison, object-verb comparison and cross subject-verb comparison. Corresponding verbs are further compared using the WordNet. Each of the matches is assigned some weight learnt from the development corpus. A threshold has been set on the fraction of matching hypothesis relations based on the development set. The threshold score has been applied on the RTE-4 gold standard test set using the same methods of dependency parsing followed by comparisons. Evaluation scores obtained on the test set show 54.75% precision and 53% recall for YES decisions and 54.45% precision and 56.2% recall for NO decisions.
KW - Dependency parsing
KW - Dependency relations
KW - RTE-3 development set
KW - RTE-4 gold standard test set
KW - Textual entailment
UR - http://www.scopus.com/inward/record.url?scp=78650501058&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12116-6_22
DO - 10.1007/978-3-642-12116-6_22
M3 - Contribución a la conferencia
SN - 3642121152
SN - 9783642121159
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 269
EP - 278
BT - Computational Linguistics and Intelligent Text Processing - 11th International Conference, CICLing 2010, Proceedings
T2 - 11th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2010
Y2 - 21 March 2010 through 27 March 2010
ER -