Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems
Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems
Abhay Lokesh Kashyap,Lushan Han,4 Authors,Timothy W. Finin
TLDR
UMBC’s systems developed for the SemEval 2014 tasks on Multilingual Semantic Textual Similarity and Cross-Level Semantic Similarity ranked second in Paragraph-Sentence and first in both Sentence-Phrase and Word-Sense subtask.
Abstract
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 PhraseWord subtask but was not included in the official results due to a late submission.