MUC5 '93 Proceedings of the 5th conference on Message understanding
SRI: description of the JV-FASTUS system used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
University of Manitoba: description of the NUBA system as used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
SRI International: description of the FASTUS system used for MUC-4
MUC4 '92 Proceedings of the 4th conference on Message understanding
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Building a question answering test collection
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Automated Information Extraction out of Classified Advertisements
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Inferential Information Extraction
Information Extraction: Towards Scalable, Adaptable Systems
Using Human Language Technology for Automatic Annotation and Indexing of Digital Library Content
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Wide-Coverage Spanish Named Entity Extraction
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Learning pattern rules for Chinese named entity extraction
Eighteenth national conference on Artificial intelligence
An empirically based system for processing definite descriptions
Computational Linguistics
The need for accurate alignment in natural language system evaluation
Computational Linguistics
Supertagging: an approach to almost parsing
Computational Linguistics
The TREC question answering track
Natural Language Engineering
REES: a large-scale relation and event extraction system
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Using a semantic network for information extraction
Natural Language Engineering
New models for improving supertag disambiguation
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Corpus-based development and evaluation of a system for processing definite descriptions
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Sources of Success for Boosted Wrapper Induction
The Journal of Machine Learning Research
Named entity recognition for Catalan using Spanish resources
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Answer extraction towards better evaluations of NLP systems
ANLP/NAACL-ReadingComp '00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems - Volume 6
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
Information extraction research and applications: current progress and future directions
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Transforming examples into patterns for information extraction
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Discriminative slot detection using kernel methods
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Infrastructure for open-domain information extraction
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Leveraging context in user-centric entity detection systems
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
International Journal of Business Intelligence and Data Mining
Optimization issues in inverted index-based entity annotation
Proceedings of the 3rd international conference on Scalable information systems
Recognizing referential links: an information extraction perspective
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
Event coreference for information extraction
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
Not all seeds are equal: measuring the quality of text mining seeds
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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
Automatic rule learning exploiting morphological features for named entity recognition in Turkish
Journal of Information Science
A greek named-entity recognizer that uses support vector machines and active learning
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
DS'05 Proceedings of the 8th international conference on Discovery Science
Combining information extraction and text mining for cancer biomarker detection
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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SRI International participated in the MUC-6 evaluation using the latest version of SRI's FASTUS system [1]. The FASTUS system was originally developed for participation in the MUC-4 evaluation [3] in 1992, and the performance of FASTUS in MUC-4 helped demonstrate the viability of finite state technologies in constrained natural-language understanding tasks. The system has undergone significant revision since MUC-4, and it is safe to say that the current system does not share a single line of code with the original. The fundamental ideas behind FASTUS, however, are retained in the current system: an architecture consisting of cascaded finite state transducers, each providing an additional level of analysis of the input, together with merging of the final results.