FCICU at SemEval-2017 Task 1: Sense-Based Language Independent Semantic Textual Similarity Approach

Basma Hassan, Samir AbdelRahman, Reem Bahgat, Ibrahim Farag


Abstract
This paper describes FCICU team systems that participated in SemEval-2017 Semantic Textual Similarity task (Task1) for monolingual and cross-lingual sentence pairs. A sense-based language independent textual similarity approach is presented, in which a proposed alignment similarity method coupled with new usage of a semantic network (BabelNet) is used. Additionally, a previously proposed integration between sense-based and sur-face-based semantic textual similarity approach is applied together with our proposed approach. For all the tracks in Task1, Run1 is a string kernel with alignments metric and Run2 is a sense-based alignment similarity method. The first run is ranked 10th, and the second is ranked 12th in the primary track, with correlation 0.619 and 0.617 respectively
Anthology ID:
S17-2015
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
125–129
Language:
URL:
https://www.aclweb.org/anthology/S17-2015
DOI:
10.18653/v1/S17-2015
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2015.pdf