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» A Topic Model for Word Sense Disambiguation
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EMNLP
2010
13 years 4 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 6 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
EMNLP
2008
13 years 8 months ago
Question Classification using Head Words and their Hypernyms
Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In contrast to Li and Roth (2002)'s app...
Zhiheng Huang, Marcus Thint, Zengchang Qin
EMNLP
2008
13 years 8 months ago
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms
Bootstrapping has a tendency, called semantic drift, to select instances unrelated to the seed instances as the iteration proceeds. We demonstrate the semantic drift of bootstrapp...
Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Ma...
COLING
2010
13 years 1 months ago
Towards an optimal weighting of context words based on distance
Word Sense Disambiguation (WSD) often relies on a context model or vector constructed from the words that co-occur with the target word within the same text windows. In most cases...
Bernard Brosseau-Villeneuve, Jian-Yun Nie, Noriko ...