Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
In this poster, we propose a novel document summarization approach named Ontology-enriched M ulti-Document Summarization(OMS) for utilizing background knowledge to improve summari...
Background: Semantic similarity measures are useful to assess the physiological relevance of protein-protein interactions (PPIs). They quantify similarity between proteins based o...
Background: Microarray and other high-throughput technologies are producing large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed...
Bing Zhang, Denise Schmoyer, Stefan Kirov, Jay Sno...
Recently, multi-attribute negotiation has been extensively studied from a game-theoretic viewpoint. Since normal and extensive form games have the drawback of requiring an explicit...