Adaptive parsing : self-extending natural language interfaces

by Jill Fain Lehman


  • 1. Introduction.- 1.1. Natural language interfaces.- 1.2. The dilemma.- 1.3. Towards a solution.- 1.4. The frequent user.- 1.5. Conclusions.- 1.6. Reader's guide.- 2. System Behavior in an Adaptive Environment.- 2.1. Foundations: Least-deviant-first parsing and MULTIPAR.- 2.2. The model.- 2.3. Assumptions and hypotheses.- 2.4. Adaptation vs. customizable and instructable interfaces.- 2.5. Prior research in adaptation.- 3. User Behavior in an Adaptive Environment.- 3.1. The behavioral hypotheses.- 3.2. The experimental condition.- 3.3. Control conditions.- 3.4. User profiles.- 3.5. Results and discussion.- 4. System Architecture and Knowledge Representation.- 4.1. Representing knowledge in CHAMP.- 4.2. Learning-related knowledge.- 4.3. Application-related knowledge.- 5. Understanding Non-Deviant Utterances.- 5.1. Segmentation.- 5.2. The Coalesce/Expand Cycle.- 5.3. A detailed example: the Coalesce/Expand Cycle for "Can- 89 cel the 3 p.m. speech research meeting on June.".- 6. Detecting and Recovering from Deviation.- 6.1. Parsing as least-deviant-first search.- 6.2. The cache.- 6.3. Error detection.- 6.4. A detailed example: Error detection during the parse of "Schedule a meeting at 3 pm June 7.".- 6.5. Error recovery.- 7. Resolution: Choosing Among Explanations.- 7.1. Converting meaning to action.- 7.2. Using default knowledge and inference.- 7.3. Interacting with the databases.- 7.4. Confirmation by effect.- 8. Adaptation and Generalization.- 8.1. Adapting to substitution deviations.- 8.2. Adapting to insertion deviations.- 8.3. Adapting to deletion deviations.- 8.4. Adapting to transposition deviations.- 8.5. A summary of adaptation in CHAMP.- 8.6. Controlling growth in the grammar through competition.- 8.7. The effects of adaptation on performance.- 9. Evaluating the Interface.- 9.1. CHAMP's performance on the hidden-operator data.- 9.2. CHAMP's performance in real user interactions.- 9.3. Summary of results.- 10. Critical Issues.- 10.1. The effect of kernel design on learning.- 10.2. The effect of kernel design on search.- 10.3. The effect of search constraints on system predictability.- 10.4. The lexical extension problem.- 10.5. Summary.- 11. Conclusions and Future Directions.- 11.1. Main results.- 11.2. Future directions.- References.

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書名 Adaptive parsing : self-extending natural language interfaces
著作者等 Lehman, Jill Fain
シリーズ名 The Kluwer international series in engineering and computer science
出版元 Kluwer Academic
刊行年月 c1992
ページ数 xi, 240 p.
大きさ 24 cm
ISBN 0792391837
NCID BA13651435
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言語 英語
出版国 アメリカ合衆国