TY - GEN
T1 - JU-CSE-NLP
T2 - 1st Joint Conference on Lexical and Computational Semantics, *SEM 2012
AU - Neogi, Snehasis
AU - Pakray, Partha
AU - Bandyopadhyay, Sivaji
AU - Gelbukh, Alexander
N1 - Publisher Copyright:
© 2012 Association for Computational Linguistics.
PY - 2012
Y1 - 2012
N2 - This article presents the experiments carried out at Jadavpur University as part of the participation in Semantic Textual Similarity (STS) of Task 6 @ Semantic Evaluation Exercises (SemEval-2012). Task-6 of SemEval-2012 focused on semantic relations of text pair. Task-6 provides five different text pair files to compare different semantic relations and judge these relations through a similarity and confidence score. Similarity score is one kind of multi way classification in the form of grade between 0 to 5. We have submitted one run for the STS task. Our system has two basic modules-one deals with lexical relations and another deals with dependency based syntactic relations of the text pair. Similarity score given to a pair is the average of the scores of the above-mentioned modules. The scores from each module are identified using rule based techniques. The Pearson Correlation of our system in the task is 0.3880.
AB - This article presents the experiments carried out at Jadavpur University as part of the participation in Semantic Textual Similarity (STS) of Task 6 @ Semantic Evaluation Exercises (SemEval-2012). Task-6 of SemEval-2012 focused on semantic relations of text pair. Task-6 provides five different text pair files to compare different semantic relations and judge these relations through a similarity and confidence score. Similarity score is one kind of multi way classification in the form of grade between 0 to 5. We have submitted one run for the STS task. Our system has two basic modules-one deals with lexical relations and another deals with dependency based syntactic relations of the text pair. Similarity score given to a pair is the average of the scores of the above-mentioned modules. The scores from each module are identified using rule based techniques. The Pearson Correlation of our system in the task is 0.3880.
UR - http://www.scopus.com/inward/record.url?scp=84891913807&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:84891913807
T3 - *SEM 2012 - 1st Joint Conference on Lexical and Computational Semantics
SP - 571
EP - 574
BT - Proceedings of the 6th International Workshop on Semantic Evaluation, SemEval 2012
PB - Association for Computational Linguistics (ACL)
Y2 - 7 June 2012 through 8 June 2012
ER -