A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
An NLP Lexicon as a Largely Language-Independent Resource
Machine Translation
MWE '04 Proceedings of the Workshop on Multiword Expressions: Integrating Processing
Hi-index | 0.00 |
Idiom processing and reference resolution are two complex aspects of text processing that are commonly treated in isolation. However, closer study of the reference needs of some idioms suggests that these two phenomena will need to be treated together to support high-end NLP applications. Using evidence from Russian and English, this article describes a number of classes of idioms according to their reference needs and suggests a method of lexical encoding which, supplemented by procedural semantic routines, can adequately support the full semantic and referential interpretation of these idioms.