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» Automatic Discovery of Feature Sets for Dependency Parsing
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JAIR
2007
132views more  JAIR 2007»
14 years 9 months ago
Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text
It is well known that utterances convey a great deal of information about the speaker in addition to their semantic content. One such type of information consists of cues to the s...
François Mairesse, Marilyn A. Walker, Matth...
CLA
2004
14 years 11 months ago
Emulating a Cooperative Behavior in a Generic Association Rule Visualization Tool
Traditional framework for mining association rules has pointed out the derivation of many redundant rules. In order to be reliable in a decision making process, such discovered rul...
I. Nsir, Sadok Ben Yahia, Engelbert Mephu Nguifo
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
IJCV
2008
192views more  IJCV 2008»
14 years 9 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
AAAI
2007
14 years 12 months ago
Recognizing Textual Entailment Using a Subsequence Kernel Method
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
Rui Wang 0005, Günter Neumann