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IJCAI
2007
13 years 6 months ago
What You Seek Is What You Get: Extraction of Class Attributes from Query Logs
Within the larger area of automatic acquisition of knowledge from the Web, we introduce a method for extracting relevant attributes, or quantifiable properties, for various class...
Marius Pasca, Benjamin Van Durme
IJCAI
2007
13 years 6 months ago
On Natural Language Processing and Plan Recognition
The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been ...
Christopher W. Geib, Mark Steedman
IJCAI
2007
13 years 6 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
IJCAI
2007
13 years 6 months ago
Team Programming in Golog under Partial Observability
In this paper, we present the agent programming language TEAMGOLOG, which is a novel approach to programming a team of cooperative agents under partial observability. Every agent ...
Alessandro Farinelli, Alberto Finzi, Thomas Lukasi...
IJCAI
2007
13 years 6 months ago
Nogood Recording from Restarts
Abstract. In this paper, nogood recording is investigated for CSP within the randomization and restart framework. Our goal is to avoid the same situations to occur from one run to ...
Christophe Lecoutre, Lakhdar Sais, Sébastie...
IJCAI
2007
13 years 6 months ago
Optimistic Active-Learning Using Mutual Information
An “active learning system” will sequentially decide which unlabeled instance to label, with the goal of efficiently gathering the information necessary to produce a good cla...
Yuhong Guo, Russell Greiner
IJCAI
2007
13 years 6 months ago
Techniques for Efficient Interactive Configuration of Distribution Networks
Tarik Hadzic, Andrzej Wasowski, Henrik Reif Anders...
IJCAI
2007
13 years 6 months ago
Supervised Latent Semantic Indexing Using Adaptive Sprinkling
Latent Semantic Indexing (LSI) has been shown to be effective in recovering from synonymy and polysemy in text retrieval applications. However, since LSI ignores class labels of t...
Sutanu Chakraborti, Rahman Mukras, Robert Lothian,...
IJCAI
2007
13 years 6 months ago
Is the Turing Test Good Enough? The Fallacy of Resource-Unbounded Intelligence
This goal of this paper is to defend the plausibility of the argument that passing the Turing test is a sufficient condition for the presence of intelligence. To this effect, we ...
Virginia Savova, Leonid Peshkin