11 search results - page 1 / 3 » Improving Word Representations via Global Context and Multip... |
ACL
2012
11 years 6 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...
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 ...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
This paper presents a novel schema to address the polysemy of visual words in the widely used bag-of-words model. As a visual word may have multiple meanings, we show it is possib...
ECIR
2011
Springer
12 years 7 months ago
2011
Springer
In the context of biomedical information retrieval (IR), this paper explores the relationship between the document’s global context and the query’s local context in an attempt ...
NAACL
2003
13 years 5 months ago
2003
We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag contexts via a dependency network representation...