Proceedings of the 8th International Workshop on Semantic Evaluation

Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity systems

Abhay L. Kashyap, Lushan Han, Roberto Yus, Jennifer Sleeman, Taneeya W. Satyapanich, Sunil R Gandhi, and Tim Finin

August 23, 2014

We describe UMBC's systems developed for the SemEval 2014 tasks on Multilingual Semantic Textual Similarity (Task 10) and Cross-Level Semantic Similarity (Task 3). Our best submission in the Multilingual task ranked second in both English and Spanish subtasks using an unsupervised approach. Our best systems for Cross-Level task ranked second in Paragraph-Sentence and first in both Sentence-Phrase and Word-Sense subtask. The system ranked first for the Phrase- Word subtask but was not included in the official results due to a late submission.

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Tags: human language technology, lexical semantics, natural language processing, semantic similarity, semantics

Type: InProceedings

Publisher: Association for Computational Linguistics

Downloads: 4218 downloads