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» Taxonomy Learning Using Word Sense Induction
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NIPS
2004
13 years 8 months ago
Learning Syntactic Patterns for Automatic Hypernym Discovery
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
ACL
2012
11 years 9 months ago
UWN: A Large Multilingual Lexical Knowledge Base
We present UWN, a large multilingual lexical knowledge base that describes the meanings and relationships of words in over 200 languages. This paper explains how link prediction, ...
Gerard de Melo, Gerhard Weikum
RAS
2008
112views more  RAS 2008»
13 years 6 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut
ACL
2004
13 years 8 months ago
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
We describe two probabilistic models for unsupervised word-sense disambiguation using parallel corpora. The first model, which we call the Sense model, builds on the work of Diab ...
Indrajit Bhattacharya, Lise Getoor, Yoshua Bengio
TCS
2010
13 years 5 months ago
Incremental learning with temporary memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...
Sanjay Jain, Steffen Lange, Samuel E. Moelius, San...