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» Learning Expressive Models for Word Sense Disambiguation
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NAACL
2003
13 years 9 months ago
A Context-Sensitive Homograph Disambiguation in Thai Text-to-Speech Synthesis
Homograph ambiguity is an original issue in Text-to-Speech (TTS). To disambiguate homograph, several efficient approaches have been proposed such as part-of-speech (POS) n-gram, B...
Virongrong Tesprasit, Paisarn Charoenpornsawat, Vi...
LREC
2010
153views Education» more  LREC 2010»
13 years 9 months ago
Homographic Ideogram Understanding Using Contextual Dynamic Network
Conventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate w...
Jun Okamoto, Shun Ishizaki
IIR
2010
13 years 9 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
EMNLP
2010
13 years 5 months ago
Measuring Distributional Similarity in Context
The computation of meaning similarity as operationalized by vector-based models has found widespread use in many tasks ranging from the acquisition of synonyms and paraphrases to ...
Georgiana Dinu, Mirella Lapata
CORR
1998
Springer
96views Education» more  CORR 1998»
13 years 7 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