Abstract— In this work, web-based metrics for semantic similarity computation between words or terms are presented and compared with the state-of-the-art. Starting from the funda...
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Classical planning algorithms require that their operators be simple in order for planning to be tractable. However, the complexities of real world domains suggest that, in order ...
We propose a transaction model that provides a framework for transactions to cooperate without sacrificing serializability as a notion of correctness. Cooperation does not depend ...
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...