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» Machine Comprehension with Discourse Relations
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CICLING
2006
Springer
13 years 11 months ago
Verb Sense Disambiguation Using Support Vector Machines: Impact of WordNet-Extracted Features
The disambiguation of verbs is usually considered to be more difficult with respect to other part-of-speech categories. This is due both to the high polysemy of verbs compared with...
Davide Buscaldi, Paolo Rosso, Ferran Pla, Encarna ...
JOCN
2011
94views more  JOCN 2011»
13 years 2 months ago
Establishing Causal Coherence across Sentences: An ERP Study
■ This study examined neural activity associated with establishing causal relationships across sentences during on-line comprehension. ERPs were measured while participants read...
Gina R. Kuperberg, Martin Paczynski, Tali Ditman
ICML
2007
IEEE
14 years 8 months ago
Statistical predicate invention
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...
Stanley Kok, Pedro Domingos
SIGKDD
2000
139views more  SIGKDD 2000»
13 years 7 months ago
Support Vector Machines: Hype or Hallelujah?
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Kristin P. Bennett, Colin Campbell
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
13 years 11 months ago
A Dataset Decomposition Approach to Data Mining and Machine Discovery
We present a novel data mining approach based on decomposition. In order to analyze a given dataset, the method decomposes it to a hierarchy of smaller and less complex datasets t...
Blaz Zupan, Marko Bohanec, Ivan Bratko, Bojan Cest...