Publikation

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

Cristina España-Bonet, Alberto Barrón-Cedeño

In: International Workshop on Semantic Evaluation. International Workshop on Semantic Evaluation (SemEval-17) 11th August 3-3 Vancouver BC Canada Seiten 144-149 Association for Computational Linguistics 8/2017.

Abstrakt

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.

Weitere Links

S17-2019.pdf (pdf, 226 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence