An Agent-based Evolutionary Computing Approach to Memory-based Syntactic Parsing of Natural Language PDF Download
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Author: Guy de Pauw
Publisher:
ISBN:
Category :
Languages : en
Pages : 470
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Book Description
Author: Guy de Pauw
Publisher:
ISBN:
Category :
Languages : en
Pages : 470
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Book Description
Author: Sandra Kübler
Publisher: John Benjamins Publishing
ISBN: 9027249911
Category : Language Arts & Disciplines
Languages : en
Pages : 303
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Book Description
Memory-Based Learning (MBL), one of the most influential machine learning paradigms, has been applied with great success to a variety of NLP tasks. This monograph describes the application of MBL to robust parsing. Robust parsing using MBL can provide added functionality for key NLP applications, such as Information Retrieval, Information Extraction, and Question Answering, by facilitating more complex syntactic analysis than is currently available. The text presupposes no prior knowledge of MBL. It provides a comprehensive introduction to the framework and goes on to describe and compare applications of MBL to parsing. Since parsing is not easily characterizable as a classification task, adaptations of standard MBL are necessary. These adaptations can either take the form of a cascade of local classifiers or of a holistic approach for selecting a complete tree.The text provides excellent course material on MBL. It is equally relevant for any researcher concerned with symbolic machine learning, Information Retrieval, Information Extraction, and Question Answering.
Author: Angelo Cangelosi
Publisher: World Scientific
ISBN: 9814478628
Category : Psychology
Languages : en
Pages : 476
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Book Description
This volume comprises refereed papers and abstracts from the 6th International Conference on the Evolution of Language (EVOLANG6). The biennial EVOLANG conference focuses on the origins and evolution of human language, and brings together researchers from many disciplines including anthropology, archaeology, artificial life, biology, cognitive science, computer science, ethology, genetics, linguistics, neuroscience, palaeontology, primatology, and psychology.The collection presents the latest theoretical, experimental and modeling research on language evolution, and includes contributions from the leading scientists in the field, including T Fitch, V Gallese, S Mithen, D Parisi, A Piazza & L Cavali Sforza, R Seyfarth & D Cheney, L Steels, L Talmy and M Tomasello.
Author: Remi van Trijp
Publisher: Language Science Press
ISBN: 394623433X
Category : Language Arts & Disciplines
Languages : en
Pages : 254
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Book Description
There are few linguistic phenomena that have seduced linguists so skillfully as grammatical case has done. Ever since Panini (4th Century BC), case has claimed a central role in linguistic theory and continues to do so today. However, despite centuries worth of research, case has yet to reveal its most important secrets. This book offers breakthrough explanations for the understanding of case through agent-based experiments in cultural language evolution. The experiments demonstrate that case systems may emerge because they have a selective advantage for communication: they reduce the cognitive effort that listeners need for semantic interpretation, while at the same time limiting the cognitive resources required for doing so.
Author: Erick Cantú-Paz
Publisher: Springer Science & Business Media
ISBN: 3540406026
Category : Computers
Languages : en
Pages : 1294
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Book Description
The set LNCS 2723 and LNCS 2724 constitutes the refereed proceedings of the Genetic and Evolutionaty Computation Conference, GECCO 2003, held in Chicago, IL, USA in July 2003. The 193 revised full papers and 93 poster papers presented were carefully reviewed and selected from a total of 417 submissions. The papers are organized in topical sections on a-life adaptive behavior, agents, and ant colony optimization; artificial immune systems; coevolution; DNA, molecular, and quantum computing; evolvable hardware; evolutionary robotics; evolution strategies and evolutionary programming; evolutionary sheduling routing; genetic algorithms; genetic programming; learning classifier systems; real-world applications; and search based softare engineering.
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 466
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Book Description
Abstracts of dissertations available on microfilm or as xerographic reproductions.
Author: Joakim Nivre
Publisher: Springer Science & Business Media
ISBN: 1402048890
Category : Computers
Languages : en
Pages : 224
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Book Description
This book describes the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. Coverage includes a theoretical analysis of central models and algorithms, and an empirical evaluation of memory-based dependency parsing using data from Swedish and English. A one-stop reference to dependency-based parsing of natural language, it will interest researchers and system developers in language technology, and is suitable for graduate or advanced undergraduate courses.
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 1712
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Book Description
Author: R. C. Berwick
Publisher: Springer Science & Business Media
ISBN: 0792311736
Category : Computers
Languages : en
Pages : 424
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Book Description
Author: Sandra Kübler
Publisher: John Benjamins Publishing Company
ISBN: 9781588115904
Category : Reference
Languages : en
Pages : 294
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Book Description
Memory-Based Learning (MBL), one of the most influential machine learning paradigms, has been applied with great success to a variety of NLP tasks. This monograph describes the application of MBL to robust parsing. Robust parsing using MBL can provide added functionality for key NLP applications, such as Information Retrieval, Information Extraction, and Question Answering, by facilitating more complex syntactic analysis than is currently available. The text presupposes no prior knowledge of MBL. It provides a comprehensive introduction to the framework and goes on to describe and compare applications of MBL to parsing. Since parsing is not easily characterizable as a classification task, adaptations of standard MBL are necessary. These adaptations can either take the form of a cascade of local classifiers or of a holistic approach for selecting a complete tree. The text provides excellent course material on MBL. It is equally relevant for any researcher concerned with symbolic machine learning, Information Retrieval, Information Extraction, and Question Answering.
