Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...
Searching posts effectively has become an important issue in large-scale online communities. Especially, if search users have different inclinations when they search posts, they h...
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...
Retrieval queries that combine structural constraints with keyword search represent a significant challenge to XML data management systems. Queries are expected to be answered as...
Mariano P. Consens, Xin Gu, Yaron Kanza, Flavio Ri...