MITRE at SemEval-2017 Task 1: Simple Semantic Similarity

SEMEVAL 2017 John HendersonElizabeth MerkhoferLaura StrickhartGuido Zarrella

This paper describes MITRE{'}s participation in the Semantic Textual Similarity task (SemEval-2017 Task 1), which evaluated machine learning approaches to the identification of similar meaning among text snippets in English, Arabic, Spanish, and Turkish. We detail the techniques we explored ranging from simple bag-of-ngrams classifiers to neural architectures with varied attention and alignment mechanisms... (read more)

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