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New Developments in Parsing Technology
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Developments in Parsing Technology: From Theory to Application
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Chapter 2
Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods
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Chapter 3
High Precision Extraction of Grammatical Relations
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Chapter 4
Automated Extraction of Tags from the Penn Treebank
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Chapter 5
Computing the Most Probable Parse for a Discontinuous Phrase Structure Grammar
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Chapter 6
A Neural Netword Parser that Handles Sparse Data
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Chapter 7
An Efficient LR Parser Generator for Tree-Adjoining Grammars
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Chapter 8
Relating Tabular Parsing Algorithms for LIG and TAG
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Chapter 9
Improved Left-Corner Chart Parsing for Large Context-Free Grammars
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Chapter 10
On Two Classes of Feature Paths in Large-Scale Unification Grammars
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Chapter 11
A Context-Free Superset Approximation of Unification-Based Grammars
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Chapter 12
A Recognizer for Minimalist Languages
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Chapter 13
Range Concatenation Grammars
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Chapter 14
Grammar Induction by MDL-Based Distributional Classification
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Chapter 15
Optimal Ambiguity Packing in Context-Free Parsers with Interleaved Unification
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Chapter 16
Robust Data Oriented Spoken Language Understanding
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Chapter 17
Soup: A Parser for Real-World Spontaneous Speech
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Chapter 18
Parsing and Hypergraphs
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Chapter 19
Measure for Measure: Towards Increased Component Comparability and Exchange
Overall attention for this book and its chapters
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Mentioned by
syllabi
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institution with syllabi
Citations
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Book overview
1. Developments in Parsing Technology: From Theory to Application
2. Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods
3. High Precision Extraction of Grammatical Relations
4. Automated Extraction of Tags from the Penn Treebank
5. Computing the Most Probable Parse for a Discontinuous Phrase Structure Grammar
6. A Neural Netword Parser that Handles Sparse Data
7. An Efficient LR Parser Generator for Tree-Adjoining Grammars
8. Relating Tabular Parsing Algorithms for LIG and TAG
9. Improved Left-Corner Chart Parsing for Large Context-Free Grammars
10. On Two Classes of Feature Paths in Large-Scale Unification Grammars
11. A Context-Free Superset Approximation of Unification-Based Grammars
12. A Recognizer for Minimalist Languages
13. Range Concatenation Grammars
14. Grammar Induction by MDL-Based Distributional Classification
15. Optimal Ambiguity Packing in Context-Free Parsers with Interleaved Unification
16. Robust Data Oriented Spoken Language Understanding
17. Soup: A Parser for Real-World Spontaneous Speech
18. Parsing and Hypergraphs
19. Measure for Measure: Towards Increased Component Comparability and Exchange
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
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syllabus from an institution on Open Syllabus Project.
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Business, Engineering, Biology, History, Law