GLR parsing with multiple grammars for natural language queries.

Luk Po Chui. === Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. === Includes bibliographical references (leaves 97-100). === Abstracts in English and Chinese. === Chapter 1 --- Introduction --- p.1 === Chapter 1.1 --- Efficiency and Memory --- p.2 === Chapter 1.2 --- Ambiguity --- p.3 =...

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Other Authors: Luk, Po Chui.
Format: Others
Language:English
Chinese
Published: 2000
Subjects:
Online Access:http://library.cuhk.edu.hk/record=b5890308
http://repository.lib.cuhk.edu.hk/en/item/cuhk-323204
id ndltd-cuhk.edu.hk-oai-cuhk-dr-cuhk_323204
record_format oai_dc
collection NDLTD
language English
Chinese
format Others
sources NDLTD
topic Parsing (Computer grammar)
Computational linguistics
Natural language processing (Computer science)
spellingShingle Parsing (Computer grammar)
Computational linguistics
Natural language processing (Computer science)
GLR parsing with multiple grammars for natural language queries.
description Luk Po Chui. === Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. === Includes bibliographical references (leaves 97-100). === Abstracts in English and Chinese. === Chapter 1 --- Introduction --- p.1 === Chapter 1.1 --- Efficiency and Memory --- p.2 === Chapter 1.2 --- Ambiguity --- p.3 === Chapter 1.3 --- Robustness --- p.4 === Chapter 1.4 --- Thesis Organization --- p.5 === Chapter 2 --- Background --- p.7 === Chapter 2.1 --- Introduction --- p.7 === Chapter 2.2 --- Context-Free Grammars --- p.8 === Chapter 2.3 --- The LR Parsing Algorithm --- p.9 === Chapter 2.4 --- The Generalized LR Parsing Algorithm --- p.12 === Chapter 2.4.1 --- Graph-Structured Stack --- p.12 === Chapter 2.4.2 --- Packed Shared Parse Forest --- p.14 === Chapter 2.5 --- Time and Space Complexity --- p.16 === Chapter 2.6 --- Related Work on Parsing --- p.17 === Chapter 2.6.1 --- GLR* --- p.17 === Chapter 2.6.2 --- TINA --- p.18 === Chapter 2.6.3 --- PHOENIX --- p.19 === Chapter 2.7 --- Chapter Summary --- p.21 === Chapter 3 --- Grammar Partitioning --- p.22 === Chapter 3.1 --- Introduction --- p.22 === Chapter 3.2 --- Motivation --- p.22 === Chapter 3.3 --- Previous Work on Grammar Partitioning --- p.24 === Chapter 3.4 --- Our Grammar Partitioning Approach --- p.26 === Chapter 3.4.1 --- Definitions and Concepts --- p.26 === Chapter 3.4.2 --- Guidelines for Grammar Partitioning --- p.29 === Chapter 3.5 --- An Example --- p.30 === Chapter 3.6 --- Chapter Summary --- p.34 === Chapter 4 --- Parser Composition --- p.35 === Chapter 4.1 --- Introduction --- p.35 === Chapter 4.2 --- GLR Lattice Parsing --- p.36 === Chapter 4.2.1 --- Lattice with Multiple Granularity --- p.36 === Chapter 4.2.2 --- Modifications to the GLR Parsing Algorithm --- p.37 === Chapter 4.3 --- Parser Composition Algorithms --- p.45 === Chapter 4.3.1 --- Parser Composition by Cascading --- p.46 === Chapter 4 3.2 --- Parser Composition with Predictive Pruning --- p.48 === Chapter 4.3.3 --- Comparison of Parser Composition by Cascading and Parser Composition with Predictive Pruning --- p.54 === Chapter 4.4 --- Chapter Summary --- p.54 === Chapter 5 --- Experimental Results and Analysis --- p.56 === Chapter 5.1 --- Introduction --- p.56 === Chapter 5.2 --- Experimental Corpus --- p.57 === Chapter 5.3 --- ATIS Grammar Development --- p.60 === Chapter 5.4 --- Grammar Partitioning and Parser Composition on ATIS Domain --- p.62 === Chapter 5.4.1 --- ATIS Grammar Partitioning --- p.62 === Chapter 5.4.2 --- Parser Composition on ATIS --- p.63 === Chapter 5.5 --- Ambiguity Handling --- p.66 === Chapter 5.6 --- Semantic Interpretation --- p.69 === Chapter 5.6.1 --- Best Path Selection --- p.69 === Chapter 5.6.2 --- Semantic Frame Generation --- p.71 === Chapter 5.6.3 --- Post-Processing --- p.72 === Chapter 5.7 --- Experiments --- p.73 === Chapter 5.7.1 --- Grammar Coverage --- p.73 === Chapter 5.7.2 --- Size of Parsing Table --- p.74 === Chapter 5.7.3 --- Computational Costs --- p.76 === Chapter 5.7.4 --- Accuracy Measures in Natural Language Understanding --- p.81 === Chapter 5.7.5 --- Summary of Results --- p.90 === Chapter 5.8 --- Chapter Summary --- p.91 === Chapter 6 --- Conclusions --- p.92 === Chapter 6.1 --- Thesis Summary --- p.92 === Chapter 6.2 --- Thesis Contributions --- p.93 === Chapter 6.3 --- Future Work --- p.94 === Chapter 6.3.1 --- Statistical Approach on Grammar Partitioning --- p.94 === Chapter 6.3.2 --- Probabilistic modeling for Best Parse Selection --- p.95 === Chapter 6.3.3 --- Robust Parsing Strategies --- p.96 === Bibliography --- p.97 === Chapter A --- ATIS-3 Grammar --- p.101 === Chapter A.l --- English ATIS-3 Grammar Rules --- p.101 === Chapter A.2 --- Chinese ATIS-3 Grammar Rules --- p.104
author2 Luk, Po Chui.
author_facet Luk, Po Chui.
title GLR parsing with multiple grammars for natural language queries.
title_short GLR parsing with multiple grammars for natural language queries.
title_full GLR parsing with multiple grammars for natural language queries.
title_fullStr GLR parsing with multiple grammars for natural language queries.
title_full_unstemmed GLR parsing with multiple grammars for natural language queries.
title_sort glr parsing with multiple grammars for natural language queries.
publishDate 2000
url http://library.cuhk.edu.hk/record=b5890308
http://repository.lib.cuhk.edu.hk/en/item/cuhk-323204
_version_ 1718982873133875200
spelling ndltd-cuhk.edu.hk-oai-cuhk-dr-cuhk_3232042019-02-26T03:35:14Z GLR parsing with multiple grammars for natural language queries. Parsing (Computer grammar) Computational linguistics Natural language processing (Computer science) Luk Po Chui. Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. Includes bibliographical references (leaves 97-100). Abstracts in English and Chinese. Chapter 1 --- Introduction --- p.1 Chapter 1.1 --- Efficiency and Memory --- p.2 Chapter 1.2 --- Ambiguity --- p.3 Chapter 1.3 --- Robustness --- p.4 Chapter 1.4 --- Thesis Organization --- p.5 Chapter 2 --- Background --- p.7 Chapter 2.1 --- Introduction --- p.7 Chapter 2.2 --- Context-Free Grammars --- p.8 Chapter 2.3 --- The LR Parsing Algorithm --- p.9 Chapter 2.4 --- The Generalized LR Parsing Algorithm --- p.12 Chapter 2.4.1 --- Graph-Structured Stack --- p.12 Chapter 2.4.2 --- Packed Shared Parse Forest --- p.14 Chapter 2.5 --- Time and Space Complexity --- p.16 Chapter 2.6 --- Related Work on Parsing --- p.17 Chapter 2.6.1 --- GLR* --- p.17 Chapter 2.6.2 --- TINA --- p.18 Chapter 2.6.3 --- PHOENIX --- p.19 Chapter 2.7 --- Chapter Summary --- p.21 Chapter 3 --- Grammar Partitioning --- p.22 Chapter 3.1 --- Introduction --- p.22 Chapter 3.2 --- Motivation --- p.22 Chapter 3.3 --- Previous Work on Grammar Partitioning --- p.24 Chapter 3.4 --- Our Grammar Partitioning Approach --- p.26 Chapter 3.4.1 --- Definitions and Concepts --- p.26 Chapter 3.4.2 --- Guidelines for Grammar Partitioning --- p.29 Chapter 3.5 --- An Example --- p.30 Chapter 3.6 --- Chapter Summary --- p.34 Chapter 4 --- Parser Composition --- p.35 Chapter 4.1 --- Introduction --- p.35 Chapter 4.2 --- GLR Lattice Parsing --- p.36 Chapter 4.2.1 --- Lattice with Multiple Granularity --- p.36 Chapter 4.2.2 --- Modifications to the GLR Parsing Algorithm --- p.37 Chapter 4.3 --- Parser Composition Algorithms --- p.45 Chapter 4.3.1 --- Parser Composition by Cascading --- p.46 Chapter 4 3.2 --- Parser Composition with Predictive Pruning --- p.48 Chapter 4.3.3 --- Comparison of Parser Composition by Cascading and Parser Composition with Predictive Pruning --- p.54 Chapter 4.4 --- Chapter Summary --- p.54 Chapter 5 --- Experimental Results and Analysis --- p.56 Chapter 5.1 --- Introduction --- p.56 Chapter 5.2 --- Experimental Corpus --- p.57 Chapter 5.3 --- ATIS Grammar Development --- p.60 Chapter 5.4 --- Grammar Partitioning and Parser Composition on ATIS Domain --- p.62 Chapter 5.4.1 --- ATIS Grammar Partitioning --- p.62 Chapter 5.4.2 --- Parser Composition on ATIS --- p.63 Chapter 5.5 --- Ambiguity Handling --- p.66 Chapter 5.6 --- Semantic Interpretation --- p.69 Chapter 5.6.1 --- Best Path Selection --- p.69 Chapter 5.6.2 --- Semantic Frame Generation --- p.71 Chapter 5.6.3 --- Post-Processing --- p.72 Chapter 5.7 --- Experiments --- p.73 Chapter 5.7.1 --- Grammar Coverage --- p.73 Chapter 5.7.2 --- Size of Parsing Table --- p.74 Chapter 5.7.3 --- Computational Costs --- p.76 Chapter 5.7.4 --- Accuracy Measures in Natural Language Understanding --- p.81 Chapter 5.7.5 --- Summary of Results --- p.90 Chapter 5.8 --- Chapter Summary --- p.91 Chapter 6 --- Conclusions --- p.92 Chapter 6.1 --- Thesis Summary --- p.92 Chapter 6.2 --- Thesis Contributions --- p.93 Chapter 6.3 --- Future Work --- p.94 Chapter 6.3.1 --- Statistical Approach on Grammar Partitioning --- p.94 Chapter 6.3.2 --- Probabilistic modeling for Best Parse Selection --- p.95 Chapter 6.3.3 --- Robust Parsing Strategies --- p.96 Bibliography --- p.97 Chapter A --- ATIS-3 Grammar --- p.101 Chapter A.l --- English ATIS-3 Grammar Rules --- p.101 Chapter A.2 --- Chinese ATIS-3 Grammar Rules --- p.104 Luk, Po Chui. Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management. 2000 Text bibliography print xiii, 106 leaves : ill. ; 30 cm. cuhk:323204 http://library.cuhk.edu.hk/record=b5890308 eng chi Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/) http://repository.lib.cuhk.edu.hk/en/islandora/object/cuhk%3A323204/datastream/TN/view/GLR%20parsing%20with%20multiple%20grammars%20for%20natural%20language%20queries.jpghttp://repository.lib.cuhk.edu.hk/en/item/cuhk-323204