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» Word Importance Discrimination Using Context Information
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ICWE
2009
Springer
15 years 1 months ago
Semantic web access prediction using WordNet
The user observed latency of retrieving Web documents is one of limiting factors while using the Internet as an information data source. Prefetching became important technique ...
Lenka Hapalova
JAIR
2010
142views more  JAIR 2010»
14 years 8 months ago
Context-based Word Acquisition for Situated Dialogue in a Virtual World
To tackle the vocabulary problem in conversational systems, previous work has applied unsupervised learning approaches on co-occurring speech and eye gaze during interaction to au...
Shaolin Qu, Joyce Yue Chai
IRCDL
2007
14 years 11 months ago
An Hybrid Approach for Improving Word Sense Disambiguation and Text Clustering
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
Paolo Casoto, Carlo Tasso
TAL
2010
Springer
14 years 8 months ago
Robust Semi-supervised and Ensemble-Based Methods in Word Sense Disambiguation
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
Anders Søgaard, Anders Johannsen
ACL
1992
14 years 11 months ago
SEXTANT: Exploring Unexplored Contexts for Semantic Extraction from Syntactic Analysis
For a very long time, it has been considered that the only way of automatically extracting similar groups of words from a text collection for which no semantic information exists ...
Gregory Grefenstette