A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
An analysis of tree topological features in classifier-based unlexicalized parsing
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
A novel pattern matching method for Chinese metaphor identification and classification
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Training dependency parsers by jointly optimizing multiple objectives
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A machine learning parser using an unlexicalized distituent model
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Active learning for dependency parsing using partially annotated sentences
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Linguistically rich graph based data driven parsing for Hindi
SPMRL '11 Proceedings of the Second Workshop on Statistical Parsing of Morphologically Rich Languages
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
Low-dimensional discriminative reranking
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
ICT: a translation based method for cross-lingual textual entailment
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Hybrid combination of constituency and dependency trees into an ensemble dependency parser
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Mining rules for rewriting states in a transition-based dependency parser
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Induction of dependency structures based on weighted projection
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
| Hi-index | 0.00 |
Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts