Is Dependency A Word
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Dependency Parsing
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
Dependency in Linguistic Description
Author: Alain Polguère
language: en
Publisher: John Benjamins Publishing
Release Date: 2009
The book covers three major topics crucial for contemporary syntactic research. Firstly, it offers a sketch of a general theory of dependency in natural language. Different types of linguistic dependencies are distinguished (semantic, syntactic, and morphological), the criteria for their recognition are formulated, and all possible combinations are discussed in some detail. Secondly, it demonstrates the application of the general theory in two specific domains: establishing the system of Surface-Syntactic Relations in French and linear positioning of clitics in Serbian. Thirdly, it presents a formal sketch of Head-Driven Phrase-Structure Grammar modelled in terms of syntactic dependencies.
Artificial Intelligence and Computational Intelligence
This volume proceedings contains revised selected papers from the 4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012, held in Chengdu, China, in October 2012. The total of 163 high-quality papers presented were carefully reviewed and selected from 724 submissions. The papers are organized into topical sections on applications of artificial intelligence, applications of computational intelligence, data mining and knowledge discovery, evolution strategy, expert and decision support systems, fuzzy computation, information security, intelligent control, intelligent image processing, intelligent information fusion, intelligent signal processing, machine learning, neural computation, neural networks, particle swarm optimization, and pattern recognition.