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FLAIRS
2006
13 years 9 months ago
The Semantics of Backing Up (Or: What to do with Prepositions and Particles?)
The paper discusses the lexical description and runtime disambiguation of homographous prepositions and verbal particles in English using the Ontological Semantic (OntoSem) text p...
Marjorie McShane, Stephen Beale, Sergei Nirenburg
FLAIRS
2006
13 years 9 months ago
Mining the Web to Determine Similarity Between Words, Objects, and Communities
The World Wide Web provides a wealth of data that can be harnessed to help improve information retrieval and increase understanding of the relationships between different entities...
Mehran Sahami
FLAIRS
2006
13 years 9 months ago
Using Enhanced Concept Map for Student Modeling in Programming Tutors
We have been using the concept map of the domain, enhanced with pedagogical concepts called learning objectives, as the overlay student model in our intelligent tutors for program...
Amruth N. Kumar
FLAIRS
2006
13 years 9 months ago
Sublanguage Analysis Applied to Trouble Tickets
Elizabeth D. Liddy, Svetlana Symonenko, Steven Row...
FLAIRS
2006
13 years 9 months ago
Dependency-based Textual Entailment
This paper studies the role of dependency information for the task of textual entailment. Both the Text and Hypothesis of an entailment pair are mapped into sets of dependencies a...
Vasile Rus
FLAIRS
2006
13 years 9 months ago
Genetic Hierarchical Music Structures
Music has structure at many levels, from grand arrangements of verses and choruses down to patterns in small riffs and themes. A bracketed L-system -- the SARAH language -- is use...
Charles Fox
FLAIRS
2006
13 years 9 months ago
Adaptive, Confidence-Based Strategic Negotiations in Complex Multiagent Environments
We have designed and implemented an adaptive, confidence-based negotiation strategy for conducting multiple, concurrent negotiations among agents in dynamic, uncertain, and real-t...
Xin Li, Leen-Kiat Soh
FLAIRS
2006
13 years 9 months ago
Using Validation Sets to Avoid Overfitting in AdaBoost
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
Tom Bylander, Lisa Tate
FLAIRS
2006
13 years 9 months ago
Demystify the Messages in the Hugin Architecture for Probabilistic Inference and Its Application
In this paper, we investigate the semantic meaning of the messages passed in the Hugin architecture for probabilistic inference. By utilizing this information, one can avoid passi...
Dan Wu, Karen H. Jin