95 search results - page 1 / 19 » Filaments of Meaning in Word Space |
ECIR
2008
Springer
13 years 5 months ago
2008
Springer
Word space models, in the sense of vector space models built on distributional data taken from texts, are used to model semantic relations between words. We argue that the high dim...
NAACL
2010
13 years 2 months ago
2010
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Coecke, Sadrzadeh, and Clark [3] developed a compositional model of meaning for distributional semantics, in which each word in a sentence has a meaning vector and the distributio...
ENTCS
2011
12 years 11 months ago
2011
We use Bell states to provide compositional distributed meaning for negative sentences of English. The lexical meaning of each word of the sentence is a context vector obtained wi...
EMNLP
2008
13 years 5 months ago
2008
We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards ...