Sciweavers

Share
141 search results - page 1 / 29
» Learning to Merge Word Senses
Sort
View
EMNLP
2007
9 years 4 months ago
Learning to Merge Word Senses
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...
NAACL
2010
9 years 13 days ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar
LREC
2008
94views Education» more  LREC 2008»
9 years 4 months ago
Merging a Syntactic Resource with a WordNet: a Feasibility Study of a Merge between STO and DanNet
This paper presents a feasibility study of a merge between SprogTeknologisk Ordbase (STO), which contains morphological and syntactic information, and DanNet, which is a Danish Wo...
Bolette Sandford Pedersen, Anna Braasch, Lina Henr...
ACL
2015
3 years 10 months ago
Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering
In recent years, there has been an increasing interest in learning a distributed representation of word sense. Traditional context clustering based models usually require careful ...
Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang
CORR
2004
Springer
125views Education» more  CORR 2004»
9 years 2 months ago
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
Peter D. Turney
books