Lump at SemEval-2017 Task 1: Towards an Interlingua Semantic Similarity

Cristina España-Bonet, Alberto Barrón-Cedeño


Abstract
This is the Lump team participation at SemEval 2017 Task 1 on Semantic Textual Similarity. Our supervised model relies on features which are multilingual or interlingual in nature. We include lexical similarities, cross-language explicit semantic analysis, internal representations of multilingual neural networks and interlingual word embeddings. Our representations allow to use large datasets in language pairs with many instances to better classify instances in smaller language pairs avoiding the necessity of translating into a single language. Hence we can deal with all the languages in the task: Arabic, English, Spanish, and Turkish.
Anthology ID:
S17-2019
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:
144–149
Language:
URL:
https://www.aclweb.org/anthology/S17-2019
DOI:
10.18653/v1/S17-2019
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2019.pdf