Computer parsing technology, which breaks down complex linguistic
structures into their constituent parts, is a key research area in the
automatic processing of human language. This volume is a collection of
contributions from leading researchers in the field of natural language
processing technology, each of whom detail their recent work which
includes new techniques as well as results. The book presents an
overview of the state of the art in current research into parsing
technologies, focusing on three important themes: dependency parsing,
domain adaptation, and deep parsing. The technology, which has a variety
of practical uses, is especially concerned with the methods, tools and
software that can be used to parse automatically. Applications include
extracting information from free text or speech, question answering,
speech recognition and comprehension, recommender systems, machine
translation, and automatic summarization. New developments in the area
of parsing technology are thus widely applicable, and researchers and
professionals from a number of fields will find the material here
required reading. As well as the other four volumes on parsing
technology in this series this book has a breadth of coverage that makes
it suitable both as an overview of the field for graduate students, and
as a reference for established researchers in computational linguistics,
artificial intelligence, computer science, language engineering,
information science, and cognitive science. It will also be of interest
to designers, developers, and advanced users of natural language
processing systems, including applications such as spoken dialogue, text
mining, multimodal human-computer interaction, and semantic web
technology.
