138 search results - page 19 / 28 » Improving Word Sense Disambiguation Using Topic Features |
EMNLP
2008
14 years 11 months ago
2008
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...
101
Voted
ECML
2003
Springer
15 years 3 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
97
Voted
ICPR
2010
IEEE
14 years 8 months ago
2010
IEEE
We propose a scene classification method, which combines two popular methods in the literature: Spatial Pyramid Matching (SPM) and probabilistic Latent Semantic Analysis (pLSA) mod...
82
Voted
TREC
2003
14 years 11 months ago
2003
In TREC 2003, the Database and Information System Lab (DBIS) at University of Illinois at Chicago (UIC) participate in the robust track, which is a traditional ad hoc retrieval ta...
70
Voted
COLING
2010
14 years 5 months ago
2010
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...