Computational Linguistics
The structure of the merriam-webster pocket dictionary
The structure of the merriam-webster pocket dictionary
Automatically extracting and representing collocations for language generation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Acquisition of lexical information: from a large textual Italian corpus
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
On the semantic interpretation of nominals
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Enjoy the paper: lexical semantics via lexicology
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Lexical semantic techniques for corpus analysis
Computational Linguistics - Special issue on using large corpora: II
A Generative Lexicon perspective for adjectival modification
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Representing Discourse Coherence: A Corpus-Based Study
Computational Linguistics
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One of the hardest problems for knowledge extraction from machine readable textual sources is distinguishing entities and events that are part of the main story from those that are part of the narrative structure. Importantly, however, reported speech in newspaper articles explicitly links these two levels. In this paper, we illustrate what the lexical semantics of reporting verbs must incorporate in order to contribute to the reconstruction of story and context. The lexical structures proposed are derived from the analysis of semantic collocations over large text corpora.