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» A Machine Learning Approach to Information Extraction
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ECAI
2006
Springer
13 years 11 months ago
Semantic Tree Kernels to Classify Predicate Argument Structures
Recent work on Semantic Role Labeling (SRL) has shown that syntactic information is critical to detect and extract predicate argument structures. As syntax is expressed by means of...
Alessandro Moschitti, Bonaventura Coppola, Daniele...
MM
2004
ACM
178views Multimedia» more  MM 2004»
14 years 1 months ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
ISCIS
2009
Springer
14 years 2 months ago
Unsupervised learning of affordance relations on a humanoid robot
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
CLIN
2001
13 years 9 months ago
Multi-feature Error Detection in Spoken Dialogue Systems
The present paper evaluates the role selected features and feature combinations play for error detection in spoken dialogue systems. We investigate the relevance of various, readi...
Piroska Lendvai, Antal van den Bosch, Emiel Krahme...
CIKM
2007
Springer
14 years 2 months ago
Autonomously semantifying wikipedia
Berners-Lee’s compelling vision of a Semantic Web is hindered by a chicken-and-egg problem, which can be best solved by a bootstrapping method — creating enough structured dat...
Fei Wu, Daniel S. Weld