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» Four Methods for Supervised Word Sense Disambiguation
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105
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CORR
1998
Springer
96views Education» more  CORR 1998»
15 years 1 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira
154
Voted
ACCV
2010
Springer
14 years 9 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...
SNPD
2010
15 years 6 days ago
Ambiguous Arabic Words Disambiguation
In this paper we propose an hybrid system of Arabic words disambiguation. To achieve this goal we use the methods employed in the domain of information retrieval: Latent semantic ...
Laroussi Merhbene, Anis Zouaghi, Mounir Zrigui
ACL
2006
15 years 3 months ago
Robust Word Sense Translation by EM Learning of Frame Semantics
We propose a robust method of automatically constructing a bilingual word sense dictionary from readily available monolingual ontologies by using estimation-maximization, without ...
Pascale Fung, Benfeng Chen
113
Voted
COLING
2008
15 years 3 months ago
Good Neighbors Make Good Senses: Exploiting Distributional Similarity for Unsupervised WSD
We present an automatic method for senselabeling of text in an unsupervised manner. The method makes use of distributionally similar words to derive an automatically labeled train...
Samuel Brody, Mirella Lapata