Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity systems
Links to Fileshttps://ebiquity.umbc.edu/paper/html/id/659/Meerkat-Mafia-Multilingual-and-Cross-Level-Semantic-Textual-Similarity-systems
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Type of Work8 pages
conference papers and proceedings pre-print and slides
Citation of Original PublicationAbhay Kashyap, Lushan Han, Roberto Yus, Jennifer Sleeman, Taneeya Satyapanich, Sunil Gandhi and Tim Finin, Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems, Int. Workshop on Semantic Evaluation, Association for Computational Linguistics, August 2014, https://ebiquity.umbc.edu/paper/html/id/659/Meerkat-Mafia-Multilingual-and-Cross-Level-Semantic-Textual-Similarity-systems
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Subjectshuman language technology
natural language processing
UMBC Ebiquity Research Group
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.