Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Communications of the ACM
Using a semantic network for information extraction
Natural Language Engineering
Event-building through role-filling and anaphora resolution
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Message Understanding Conference-6: a brief history
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Description of the UMass system as used for MUC-6
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
Discourse chunking and its application to sentence compression
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A modular information extraction system
Intelligent Data Analysis
Challenges for extracting biomedical knowledge from full text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Graph-based event coreference resolution
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
Unsupervised event coreference resolution with rich linguistic features
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A pairwise event coreference model, feature impact and evaluation for event coreference resolution
eETTs '09 Proceedings of the Workshop on Events in Emerging Text Types
Leveraging natural language processing of clinical narratives for phenotype modeling
PIKM '10 Proceedings of the 3rd workshop on Ph.D. students in information and knowledge management
Joint entity and event coreference resolution across documents
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Exploring coreference uncertainty of generically extracted event mentions
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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We propose a general approach for performing event coreference and for constructing complex event representations, such as those required for information extraction tasks. Our approach is based on a representation which allows a tight coupling between world or conceptual modelling and discourse modelling. The representation and the coreference mechanism are fully implemented within the LaSIE information extraction system where the mechanism is used for both object (noun phrase) and event coreference resolution. Indirect evaluation of the approach shows small, but significant benefit, for information extraction tasks.