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

By Basma Hassan, Samir E. AbdelRahman, Reem Bahgat, Ibrahim Farag. 2017

10 citations recorded by the source corpus.

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

Subfields: Natural Language Processing, Evaluation & Benchmarks, Computational Linguistics & Semantics