Computational Linguistics
How to encode semantic knowledge: a method for meaning representation and computer-aided acquisition
Computational Linguistics
Lexical semantic techniques for corpus analysis
Computational Linguistics - Special issue on using large corpora: II
Corpus-based method for automatic identification of support verbs for nominalizations
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
A computational analysis of complex noun phrases in Navy messages
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Another look at nominal compounds
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Deverbal compound noun analysis based on lexical conceptual structure
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Automatic interpretation of loosely encoded input
Artificial Intelligence
The knowledge required to interpret noun compounds
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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A domain independent model is proposed for the automated interpretation of nominal compounds in English. This model is meant to account for productive rules of interpretation which are inferred from the morpho-syntactic and semantic characteristics of the nominal constituents. In particular, we make extensive use of pustejovsky's principles concerning the predicative information associated with nominals. We argue that it is necessary to draw a line between generalizable semantic principles and domain-specific semantic information. We explain this distinction and we show how this model may be applied to the interpretation of compounds in real texts, provided that complementary semantic information are retrieved.