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SDM
2009
SIAM
105views Data Mining» more  SDM 2009»
14 years 4 months ago
Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
Gerhard Paaß, Frank Reichartz
COLING
2002
13 years 7 months ago
Word Sense Disambiguation using Static and Dynamic Sense Vectors
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
Jong-Hoon Oh, Key-Sun Choi
EMNLP
2008
13 years 8 months ago
Question Classification using Head Words and their Hypernyms
Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In contrast to Li and Roth (2002)'s app...
Zhiheng Huang, Marcus Thint, Zengchang Qin
SAC
2009
ACM
14 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
ACL
1998
13 years 8 months ago
A Concept-based Adaptive Approach to Word Sense Disambiguation
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
Jen Nan Chen, Jason S. Chang