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NIPS
2004
14 years 11 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen
ETS
2002
IEEE
132views Hardware» more  ETS 2002»
14 years 9 months ago
Theories for Deep Change in Affect-sensitive Cognitive Machines: A Constructivist Model
There is interplay between emotions and learning, but this interaction is far more complex than previous learning theories have articulated--this interplay interacts with other re...
Barry Kort, Rob Reilly
IWC
2002
121views more  IWC 2002»
14 years 9 months ago
Discovering user communities on the Internet using unsupervised machine learning techniques
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
Georgios Paliouras, Christos Papatheodorou, Vangel...
KCAP
2005
ACM
15 years 3 months ago
Extracting significant words from corpora for ontology extraction
This paper reports a technique for Knowledge Extraction using Natural Language Processing for the purposes of semi-automatic Ontology learning. Determination of significant words ...
Dileep G. Damle, Victoria S. Uren
CICLING
2004
Springer
15 years 1 months ago
Korean Compound Noun Decomposition Using Syllabic Information Only
The compound nouns are freely composed in Korean, since it is possible to concatenate independent nouns without a postposition. Therefore, the systems that handle compound nouns su...
Seong-Bae Park, Jeong Ho Chang, Byoung-Tak Zhang