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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Online Access: | http://library.cuhk.edu.hk/record=b5890308 http://repository.lib.cuhk.edu.hk/en/item/cuhk-323204 |
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Parsing (Computer grammar) Computational linguistics Natural language processing (Computer science) |
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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 |