| lr,30-3-J90-3002,bq | ensure the validity of such complex <term> | linguistic | databases </term> . Our most important task | #17290 If we want valuable lexicons and grammars to achieve complex natural language processing, we must provide very powerful tools to help create and ensure the validity of such complexlinguistic databases. |
| other,20-1-H92-1026,bq | , that takes advantage of detailed <term> | linguistic | information </term> to resolve <term> ambiguity | #18913 We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailedlinguistic information to resolve ambiguity. |
| other,15-4-H92-1026,bq | grammar </term> tailoring via the usual <term> | linguistic | introspection </term> in the hope of generating | #18996 This stands in contrast to the usual approach of further grammar tailoring via the usuallinguistic introspection in the hope of generating the correct parse. |
| tech,27-1-H92-1060,bq | a <term> question </term> when a full <term> | linguistic | analysis </term> fails . This <term> robust | #19360 This paper describes an extension to the MIT ATIS (Air Travel Information Service) system, which allows it to answer a question when a fulllinguistic analysis fails. |
| tech,18-2-H92-1060,bq | </term> already in place for the full <term> | linguistic | analysis component </term> . Robust <term> | #19382 This robust parsing capability was achieved through minor extensions of pre-existing components already in place for the fulllinguistic analysis component. |
| other,5-3-A94-1011,bq | </term> . A novel method for adding <term> | linguistic | annotation </term> to <term> corpora </term> | #19950 A novel method for addinglinguistic annotation to corpora is presented which involves using a statistical POS tagger in conjunction with unsupervised structure finding methods to derive notions of noun group, verb group, and so on which is inherently extensible to more sophisticated annotation, and does not require a pre-tagged corpus to fit. |
