TSIMMIS—TheStanford-IBMManagerofMultipleInformationSources—isasystemforintegrating information. It offers a data model and a common query language that are designed to support ...
Information extraction (IE) holds the promise of generating a large-scale knowledge base from the Web’s natural language text. Knowledge-based weak supervision, using structured...
Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S....
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
Many Knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from s...
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...