Sciweavers

1471 search results - page 1 / 295
» Word Importance Discrimination Using Context Information
Sort
View
TREC
2008
13 years 6 months ago
Word Importance Discrimination Using Context Information
Word importance discrimination is a task deserving attention when one treats a topic from TREC where a topic is quite long. The goal of the process is to estimate importance of wo...
Danil Nemirovsky, Vladimir Dobrynin
IHI
2010
144views Healthcare» more  IHI 2010»
12 years 11 months ago
The effect of different context representations on word sense discrimination in biomedical texts
Unsupervised word sense discrimination relies on the idea that words that occur in similar contexts will have similar meanings. These techniques cluster multiple contexts in which...
Ted Pedersen
AAAI
2004
13 years 6 months ago
Discriminating Among Word Meanings by Identifying Similar Contexts
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
Amruta Purandare, Ted Pedersen
ITS
2010
Springer
145views Multimedia» more  ITS 2010»
13 years 9 months ago
Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding
In a controlled experiment using Comrade, a computer-supported peer review system, student reviewers offered feedback to student authors on their written analyses of a problem scen...
Ilya M. Goldin, Kevin D. Ashley
IJCNLP
2005
Springer
13 years 10 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou