Script application: computer understanding of newspaper stories.
Script application: computer understanding of newspaper stories.
Information retrieval by text skimming
Information retrieval by text skimming
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Inducing a semantically annotated lexicon via EM-based clustering
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Exploiting strong syntactic heuristics and co-training to learn semantic lexicons
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
A bootstrapping method for learning semantic lexicons using extraction pattern contexts
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Learning script knowledge with web experiments
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
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As part of our work on automatically building knowledge structures from text, we apply machine learning to determine which clauses from multiple narratives describing similar situations should be grouped together as descriptions of the same type of occurrence. Our approach to the problem uses textual similarity and context from other clauses. Besides training data, our system uses only a partial parser as outside knowledge. We present results evaluating the cohesiveness of the aggregated clauses and a brief overview of how this work fits into our overall system.