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» Discovering Hidden Knowledge from Biomedical Literature
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AIMSA
2006
Springer
13 years 11 months ago
Using Verbs to Characterize Noun-Noun Relations
Abstract. We present a novel, simple, unsupervised method for characterizing the semantic relations that hold between nouns in noun-noun compounds. The main idea is to discover pre...
Preslav Nakov, Marti A. Hearst
NDQA
2003
96views Education» more  NDQA 2003»
13 years 9 months ago
A Technique to Resolve Contradictory Answers
With the ever-increasing amount of textual information available, it is becoming increasingly unlikely that a single document will provide the answer to a question. A more likely ...
Catherine Blake
BMCBI
2005
106views more  BMCBI 2005»
13 years 7 months ago
Thesaurus-based disambiguation of gene symbols
Background: Massive text mining of the biological literature holds great promise of relating disparate information and discovering new knowledge. However, disambiguation of gene s...
Bob J. A. Schijvenaars, Barend Mons, Marc Weeber, ...
ICML
1991
IEEE
13 years 11 months ago
Simulating Stages of Human Cognitive Development With Connectionist Models
The psychological literature on stages of cognitive development was reviewed and found to contain support for the idea that stages represent ordinal, qualitative changes in organi...
Thomas R. Shultz
PAA
2006
13 years 7 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong