Using Information Extraction and Natural Language Generation to Answer E-Mail
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Using a semantic network for information extraction
Natural Language Engineering
The NYU system for MUC-6 or where's the syntax?
MUC6 '95 Proceedings of the 6th conference on Message understanding
SRI International FASTUS system: MUC-6 test results and analysis
MUC6 '95 Proceedings of the 6th conference on Message understanding
The role of syntax in information extraction
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
MET name recognition with Japanese FASTUS
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
Adaptive information extraction
ACM Computing Surveys (CSUR)
Natural language technology for information integration in business intelligence
BIS'07 Proceedings of the 10th international conference on Business information systems
Ontology-Based information and event extraction for business intelligence
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
Hi-index | 0.00 |
SRI International developed an information extraction system called FASTUS, a permuted acronym standing for "Finite State Automata-based Text Understanding System. The choice of acronym is some-what misleading, however, because FASTUS is a system for information extraction, not text understanding. The former problem is much simpler and more tractable, characterized by a relatively straightforward specification of information to be extracted from the text, only a fraction of which is relevant to the extraction task, and with the author's underlying goals and nuances of meaning of little interest. In contrast, a text understanding task is to recover all of the information in a text, including that which is only implicit in what is actually written. All the richness of natural language becomes fair game, including metaphor, metonymy, discourse structure, and the recognition of the author's underlying intentions, and the full interplay between language and world knowledge becomes central to the task.