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NAACL
2004
13 years 10 months ago
Predicting Emotion in Spoken Dialogue from Multiple Knowledge Sources
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...
Katherine Forbes-Riley, Diane J. Litman
ISMIS
2005
Springer
14 years 2 months ago
Semantic-Based Access to Digital Document Databases
Abstract. Discovering significant meta-information from document collections is a critical factor for knowledge distribution and preservation. This paper presents a system that im...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...
AIED
2007
Springer
14 years 3 months ago
Helping Courseware Authors to Build Ontologies: The Case of TM4L
The authors of topic map-based learning resources face major difficulties in constructing the underlying ontologies. In this paper we propose two approaches to address this problem...
Darina Dicheva, Christo Dichev
ECML
2007
Springer
14 years 3 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
EMNLP
2009
13 years 6 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti