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» Learning Probabilistic Models of Word Sense Disambiguation
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EMNLP
2009
14 years 7 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
CAISE
2004
Springer
15 years 3 months ago
A knowledge-based approach to ontology learning and semantic annotation
The so-called Semantic Web vision will certainly benefit from automatic semantic annotation of words in documents. We present a method, called structural semantic interconnections ...
Roberto Navigli, Paola Velardi
ACCV
2010
Springer
14 years 4 months ago
Modeling Sense Disambiguation of Human Pose: Recognizing Action at a Distance by Key Poses
Abstract. We propose a methodology for recognizing actions at a distance by watching the human poses and deriving descriptors that capture the motion patterns of the poses. Human p...
Snehasis Mukherjee, Sujoy Kumar Biswas, Dipti Pras...
ACL
2010
14 years 7 months ago
Wikipedia as Sense Inventory to Improve Diversity in Web Search Results
Is it possible to use sense inventories to improve Web search results diversity for one word queries? To answer this question, we focus on two broad-coverage lexical resources of ...
Celina Santamaría, Julio Gonzalo, Javier Ar...
SAC
2009
ACM
15 years 4 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan