C4.5: programs for machine learning
C4.5: programs for machine learning
Corpus-driven knowledge acquisition for discourse analysis
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
University of Massachusetts: MUC-3 test results and analysis
MUC3 '91 Proceedings of the 3rd conference on Message understanding
UMass/Hughes: description of the CIRCUS system used for MUC-5
MUC5 '93 Proceedings of the 5th conference on Message understanding
University of Massachusetts: MUC-4 test results and analysis
MUC4 '92 Proceedings of the 4th conference on Message understanding
Using decision trees for conference resolution
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
CRYSTAL inducing a conceptual dictionary
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Extracting significant time varying features from text
Proceedings of the eighth international conference on Information and knowledge management
Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A framework for specifying explicit bias for revision of approximate information extraction rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
A domain independent environment for creating information extraction modules
Proceedings of the tenth international conference on Information and knowledge management
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
A maximum entropy approach to information extraction from semi-structured and free text
Eighteenth national conference on Artificial intelligence
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
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
Evaluation-driven design of a robust coreference resolution system
Natural Language Engineering
A definition and short history of Language Engineering
Natural Language Engineering
Unsupervised discovery of scenario-level patterns for Information Extraction
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Automatic acquisition of domain knowledge for Information Extraction
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Empirically estimating order constraints for content planning in generation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Closing the gap: learning-based information extraction rivaling knowledge-engineering methods
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A common theory of information fusion from multiple text sources step one: cross-document structure
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Adaptive information extraction
ACM Computing Surveys (CSUR)
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Discriminative slot detection using kernel methods
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Information extraction from single and multiple sentences
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
URES: an unsupervised web relation extraction system
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Learning Coreference Resolution for Portuguese Texts
PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
Learning-based pronoun resolution for Turkish with a comparative evaluation
Computer Speech and Language
Event coreference for information extraction
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
Bootstrapping named entity recognition with automatically generated gazetteer lists
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Coreference Resolution on Blogs and Commented News
DAARC '09 Proceedings of the 7th Discourse Anaphora and Anaphor Resolution Colloquium on Anaphora Processing and Applications
An information extraction approach to reorganizing and summarizing specifications
Information and Software Technology
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
Extracting information networks from the blogosphere
ACM Transactions on the Web (TWEB)
The bootstrapping based recognition of conceptual relationship for text retrieval
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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Information extraction research at the University of Massachusetts is based on portable, trainable language processing components. Some components are more effective than others, some have been under development longer than others, but in all cases, we are working to eliminate manual knowledge engineering. Although UMass has participated in previous MUC evaluations, all of our information extraction software has been redesigned and rewritten since MUC-5, so we are evaluating a completely new system this year.