TY  - BOOK
AU  - Bunt, Harry ;Carroll, John ;Satta, Giorgio 
TI  - New developments in parsing technology
SN  - 1402022948
AV  - QA 76.9.N38 .N49 2004 
PY  - 2004///
CY  - Netherlands
PB  - Kluwer Academic Publishers
KW  - ARTIFICIAL INTELLIGENCE
N1  - Includes bibliographical references and index; 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 -- 6 A Neural Network 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 -- 10 On Two Classes of Feature Paths in Large-Scale Unification Grammar -- 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 -- Index
N2  - This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a line of such collections, and its breadth of coverage should make it suitable both as an overview of the current state of the field for graduate students, and as a reference for established researchers."
ER  -