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AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An Algorithm that Learns What‘s in a Name
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Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
The use of word sense disambiguation in an information extraction system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
Learning Algorithms for Keyphrase Extraction
Information Retrieval
A Web Information Extraction System to DB Prototyping
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Inferential Information Extraction
Information Extraction: Towards Scalable, Adaptable Systems
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The VLDB Journal — The International Journal on Very Large Data Bases
The role of a GUI in the creation of a trainable message understanding system
CASCON '97 Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
Learning rules for information extraction
Natural Language Engineering
Large-scale controlled vocabulary indexing for named entities
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Using a semantic network for information extraction
Natural Language Engineering
An intelligent multilingual information browsing and retrieval system using information extraction
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Named Entity recognition without gazetteers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Proper name translation in cross-language information retrieval
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Improving summaries by revising them
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
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Natural Language Engineering
Named entity recognition: a maximum entropy approach using global information
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Producing biographical summaries: combining linguistic knowledge with corpus statistics
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
NameTag™ Japanese and Spanish systems as used for MET
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
Transforming examples into patterns for information extraction
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Adaptive information extraction
ACM Computing Surveys (CSUR)
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
Infrastructure for open-domain information extraction
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Multi-document summarization by graph search and matching
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
The role of wordnet in the creation of a trainable message understanding system
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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SRA used the combination of two systems for the MUC-6 tasks: NameTag™, a commercial software product that recognizes proper names and other key phrases in text; and HASTEN, an experimental text extraction system that has been under development for only one year. For the Named Entity task, SRA adapted a subset of NameTag's capabilities to the MUC-6 specification. For the Template Element task, SRA fed the full results of NameTag into HASTEN, which performed additional processing to extract and generate the organization and person templates. For the Scenario Template task, SRA fed NameTag's results into HASTEN, which used its full extraction capabilities to extract and generate the management succession templates. Figure 1 illustrates the contribution of each system to the MUC-6 tasks. Due to the relative complexity of the scenario template task, this paper will focus on HASTEN and the experimental results for scenario extraction, and will provide brief descriptions of NameTag and the other tasks.