180 search results - page 16 / 36 » Unsupervised Relation Disambiguation Using Spectral Clusteri... |
EMNLP
2009
13 years 6 months ago
2009
This paper presents a supervised method for resolving metonymies. We enhance a commonly used feature set with features extracted based on collocation information from corpora, gen...
COLING
2010
13 years 4 months ago
2010
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
EMNLP
2009
13 years 6 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
HT
2000
ACM
14 years 1 months ago
2000
ACM
Clustering separates unrelated documents and groups related documents, and is useful for discrimination, disambiguation, summarization, organization, and navigation of unstructure...