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» Similarity-Based Models of Word Cooccurrence Probabilities
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99
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CORR
1998
Springer
96views Education» more  CORR 1998»
15 years 6 days 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
93
Voted
ACL
1994
15 years 1 months ago
Similarity-Based Estimation of Word Cooccurrence Probabilities
In many applications of natural language processing it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may need to determine...
Ido Dagan, Fernando C. N. Pereira, Lillian Lee
86
Voted
COLING
2000
15 years 1 months ago
Structural disambiguation of morpho-syntactic categorial parsing for Korean
The Korean Combinatory Categorial Grammar (KCCG) tbrmalism can unitbrmly handle word order variation among arguments and adjuncts within a clause as well as in complex clauses and...
Jeongwon Cha, Gary Geunbae Lee
119
Voted
SIGIR
2003
ACM
15 years 5 months ago
Automatic image annotation and retrieval using cross-media relevance models
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labo...
Jiwoon Jeon, Victor Lavrenko, R. Manmatha
112
Voted
HRI
2010
ACM
15 years 7 months ago
Toward understanding natural language directions
—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging be...
Thomas Kollar, Stefanie Tellex, Deb Roy, Nicholas ...