70 search results - page 1 / 14 » Exemplar-Based Models for Word Meaning in Context |
ACL
2010
13 years 3 months ago
2010
This paper describes ongoing work on distributional models for word meaning in context. We abandon the usual one-vectorper-word paradigm in favor of an exemplar model that activat...
NAACL
2010
13 years 3 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 ...
ACL
2012
11 years 7 months ago
2012
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
EMNLP
2008
13 years 6 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 ...
JMLR
2012
11 years 7 months ago
2012
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...