WordNet: a lexical database for English
Communications of the ACM
Applied morphological processing of English
Natural Language Engineering
A workbench for finding structure in texts
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Partial parsing via finite-state cascades
Natural Language Engineering
Information fusion in the context of multi-document summarization
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Learning the structure of Markov logic networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Introduction to the CoNLL-2000 shared task: chunking
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Story understanding through multi-representation model construction
HLT-NAACL-TEXTMEANING '03 Proceedings of the HLT-NAACL 2003 workshop on Text meaning - Volume 9
Parsing the WSJ using CCG and log-linear models
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Wide-coverage semantic representations from a CCG parser
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
CogNIAC: high precision coreference with limited knowledge and linguistic resources
ANARESOLUTION '97 Proceedings of a Workshop on Operational Factors in Practical, Robust Anaphora Resolution for Unrestricted Texts
Solving logic puzzles: from robust processing to precise semantics
TextMean '04 Proceedings of the 2nd Workshop on Text Meaning and Interpretation
Event extraction in a plot advice agent
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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We demonstrate a proof-of-concept system that uses a shallow chunking-based technique for knowledge extraction from natural language text, in particular looking at the task of story understanding. This technique is extended with a reasoning engine that borrows techniques from dynamic ontology refinement to discover the semantic similarity of stories and to merge them together.