Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.

Rychalska, Barbara; Pakulska, Katarzyna; Chodorowska, Krystyna; Walczak, Wojciech; Andruszkiewicz, Piotr

doi:10.18653/v1/s16-1091

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Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.

Published • Jan 1, 2016

Authors:

Barbara Rychalska

Katarzyna Pakulska

Krystyna Chodorowska

Abstract

This paper describes our proposed solutions designed for a STS core track within the Se-mEval 2016 English Semantic Textual Similarity (STS) task. Our method of similarity detection combines recursive autoencoders with a WordNet award-penalty system that accounts for semantic relatedness, and an SVM...

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Open Access

Subject

WordNet

SemEval

Computer science

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