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Adaptive Parsing: Self-Extending Natural Language Interfaces by Jill Fain Lehman

Description: Adaptive Parsing by Jill Fain Lehman As the computer gradually automates human-oriented tasks in multiple environ­ ments, the interface between computers and the ever-wider population of human users assumes progressively increasing importance. In the office environment, for instance, clerical tasks such as document filing and retrieval, and higher-level tasks such as scheduling meetings, planning trip itineraries, and producing documents for publication, are being partially or totally automated. The range of users for office­ oriented software includes clerks, secretaries, and businesspersons, none of whom are predominantly computer literate. The same phenomenon is echoed in the factory production line, in the securities trading floor, in government agencies, in educa­ tional institutions, and even in the home. The arcane command languages of yes­ teryear have proven too high a barrier for smooth acceptance of computerized func­ tions into the workplace, no matter how useful these functions may be. Computer­ naive users simply do not take the time to learn intimidating and complex computer interfaces. In order to place the functionality of modem computers at the disposition of diverse user populations, a number of different approaches have been tried, many meeting with a significant measure of success, to wit: special courses to train users in the simpler command languages (such as MS-DOS), designing point-and-click menu/graphics interfaces that require much less user familiarization (illustrated most clearly in the Apple Macintosh), and interacting with the user in his or her language of c FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description As the computer gradually automates human-oriented tasks in multiple environ­ ments, the interface between computers and the ever-wider population of human users assumes progressively increasing importance. In the office environment, for instance, clerical tasks such as document filing and retrieval, and higher-level tasks such as scheduling meetings, planning trip itineraries, and producing documents for publication, are being partially or totally automated. The range of users for office­ oriented software includes clerks, secretaries, and businesspersons, none of whom are predominantly computer literate. The same phenomenon is echoed in the factory production line, in the securities trading floor, in government agencies, in educa­ tional institutions, and even in the home. The arcane command languages of yes­ teryear have proven too high a barrier for smooth acceptance of computerized func­ tions into the workplace, no matter how useful these functions may be. Computer­ naive users simply do not take the time to learn intimidating and complex computer interfaces. In order to place the functionality of modem computers at the disposition of diverse user populations, a number of different approaches have been tried, many meeting with a significant measure of success, to wit: special courses to train users in the simpler command languages (such as MS-DOS), designing point-and-click menu/graphics interfaces that require much less user familiarization (illustrated most clearly in the Apple Macintosh), and interacting with the user in his or her language of choice. Table of Contents 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. Readers 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. CHAMPs performance on the hidden-operator data.- 9.2. CHAMPs 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. Promotional Springer Book Archives Long Description As the computer gradually automates human-oriented tasks in multiple environ Details ISBN0792391837 Author Jill Fain Lehman ISBN-10 0792391837 ISBN-13 9780792391838 Format Hardcover Place of Publication Dordrecht Media Book Language English Series Number 161 Year 1991 Publication Date 1991-11-30 Short Title ADAPTIVE PARSING 1992/E DEWEY 006.35 Series The Springer International Series in Engineering and Computer Science Pages 240 Publisher Springer Edition 1992nd Imprint Springer Country of Publication Netherlands Illustrations XV, 240 p. Subtitle Self-Extending Natural Language Interfaces DOI 10.1007/b115908;10.1007/978-1-4615-3622-2 Edition Description 1992 ed. Alternative 9781461366102 Audience Postgraduate, Research & Scholarly We've got this At The Nile, if you're looking for it, we've got it. 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Adaptive Parsing: Self-Extending Natural Language Interfaces by Jill Fain Lehman

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ISBN-13: 9780792391838

Book Title: Adaptive Parsing

Number of Pages: 240 Pages

Language: English

Publication Name: Adaptive Parsing: Self-Extending Natural Language Interfaces

Publisher: Springer

Publication Year: 1991

Subject: Computer Science

Item Height: 235 mm

Item Weight: 1200 g

Type: Textbook

Author: Jill Fain Lehman

Item Width: 155 mm

Format: Hardcover

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