UNIBA: Exploiting a distributional semantic model for disambiguating and linking entities in tweets

CEUR Workshop Proceedings

Volumn 1395, Issue , 2015, Pages 62-63

  Basile, Pierpaolo ^a   Caputo, Annalina ^a   Semeraro, Giovanni ^a   Narducci, Fedelucio ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

Distributional SemanticModels; Lesk Algorithm; Named Entity Linking

Indexed keywords

KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

DISTRIBUTIONAL SEMANTICMODELS; ENTITY RECOGNITION; KNOWLEDGE-BASED ALGORITHMS; NAMED ENTITIES; NAMED ENTITY RECOGNITION; SEMANTIC MODEL; WIKIPEDIA;

ALGORITHMS;

EID: 84938521002     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. P. Basile, A. Caputo, and G. Semeraro. An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model. In Proc. of COLING 2014: Technical Papers, pages 1591-1600. ACL, August 2014.
2. M. Lesk. Automatic Sense Disambiguation Using Machine Readable Dictionaries: How to Tell a Pine Cone from an Ice Cream Cone. In Proc. of SIGDOC '86, SIGDOC '86, pages 24-26. ACM, 1986.
3. T. Mikolov, K. Chen, G. Corrado, and J. Dean. Efficient estimation of word representations in vector space. In Proc. of ICLR Work., 2013.
4. G. Rizzo, A. E. Cano Basave, B. Pereira, and A. Varga. Making Sense of Microposts (#Microposts2015) Named Entity rEcognition and Linking (NEEL) Challenge. In M. Rowe, M. Stankovic, and A.-S. Dadzie, editors, 5th Workshop on Making Sense of Microposts (#Microposts2015), pages 44-53, 2015.