TY - BOOK ID - 8654756 TI - Trends in parsing technology : dependency parsing, domain adaptation, and deep parsing AU - Bunt, Harry. AU - Merlo, Paola. AU - Nivre, Joakim. PY - 2010 SN - 9048193516 9786612995668 1282995669 9048193524 PB - Dordrecht : Springer, DB - UniCat KW - Computational linguistics. KW - Natural language processing (Computer science). KW - Parsing (Computer grammar). KW - Parsing (Computer grammar) KW - Computational linguistics KW - Natural language processing (Computer science) KW - Languages & Literatures KW - Philology & Linguistics KW - NLP (Computer science) KW - Automatic language processing KW - Language and languages KW - Language data processing KW - Linguistics KW - Natural language processing (Linguistics) KW - Parsers (Computer grammar) KW - Data processing KW - Linguistics. KW - Computational Linguistics. KW - Language Translation and Linguistics. KW - Applied linguistics KW - Cross-language information retrieval KW - Mathematical linguistics KW - Multilingual computing KW - Artificial intelligence KW - Electronic data processing KW - Human-computer interaction KW - Semantic computing KW - Formal languages KW - Generative grammar KW - Grammar, Comparative and general KW - Natural Language Processing (NLP). UR - https://www.unicat.be/uniCat?func=search&query=sysid:8654756 AB - Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable. This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing. This book is the fourth in a line of such collections, and its breadth of coverage should make it suitable both as an overview of the state 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. ER -