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Abhay L. Kashyap
Researcher at University of Maryland, Baltimore County
Publications - 5
Citations - 459
Abhay L. Kashyap is an academic researcher from University of Maryland, Baltimore County. The author has contributed to research in topics: Semantic similarity & WordNet. The author has an hindex of 4, co-authored 5 publications receiving 424 citations.
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Proceedings Article
UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems
TL;DR: Three semantic text similarity systems developed for the *SEM 2013 STS shared task used a simple term alignment algorithm augmented with penalty terms, and two used support vector regression models to combine larger sets of features.
Journal ArticleDOI
Robust semantic text similarity using LSA, machine learning, and linguistic resources
Abhay L. Kashyap,Lushan Han,Roberto Yus,Jennifer Sleeman,Taneeya W. Satyapanich,Sunil Gandhi,Tim Finin +6 more
TL;DR: The SemSim system is described, which consists of a robust distributional word similarity component that combines latent semantic analysis and machine learning augmented with data from several linguistic resources to handle task specific challenges.
Proceedings ArticleDOI
Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems
Abhay L. Kashyap,Lushan Han,Roberto Yus,Jennifer Sleeman,Taneeya W. Satyapanich,Sunil Gandhi,Tim Finin +6 more
TL;DR: 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.
Proceedings ArticleDOI
Facial behavior as a soft biometric
TL;DR: Given sufficient training data, facial behavior can serve as a reliable biometric modality, and considering both facial asymmetry and Action Unit combinations resulted in a significant improvement in the identification efficiency.
Proceedings Article
Semantic knowledge and privacy in the physical web
TL;DR: CARLTON is presented, a framework for managing data privacy for entities in a Physical Web deployment using Semantic Web technologies, based on an ontology of concepts that can be used as rule antecedents in customizable privacy policies.