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Connectionist, statistical, and symbolic approaches to learning for natural language processing

Connectionist, statistical, and symbolic approaches to learning for natural language processing

Material type
단행본
Personal Author
Riloff, Ellen. Scheler, Gabriele. Wermter, Stefan.
Title Statement
Connectionist, statistical, and symbolic approaches to learning for natural language processing / Stefan Wermter, Ellen Riloff, Gabriele Scheler, eds.
Publication, Distribution, etc
Berlin ;   New York :   Springer,   c1996.  
Physical Medium
ix, 468 p. : ill. ; 24 cm.
Series Statement
Lecture notes in computer science ; Lecture notes in artificial intelligence 1040.
ISBN
3540609253 (alk. paper)
Bibliography, Etc. Note
Includes bibliographical references.
Subject Added Entry-Topical Term
Natural language processing (Computer science)
000 01189camuu22003018a 4500
001 000000829661
005 20030922144032
008 960209s1996 gw a b 000 0 eng
010 ▼a 96006925
020 ▼a 3540609253 (alk. paper)
035 ▼a KRIC00252423
040 ▼a 211032 ▼c 211032 ▼d 211009
049 1 ▼l 111250906
050 0 0 ▼a QA76.9.N38 ▼b C67 1996
082 0 0 ▼a 006.3/5 ▼2 20
090 ▼a 006.35 ▼b C752
245 0 0 ▼a Connectionist, statistical, and symbolic approaches to learning for natural language processing / ▼c Stefan Wermter, Ellen Riloff, Gabriele Scheler, eds.
260 ▼a Berlin ; ▼a New York : ▼b Springer, ▼c c1996.
300 ▼a ix, 468 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Lecture notes in computer science ; ▼v 1040. ▼a Lecture notes in artificial intelligence
504 ▼a Includes bibliographical references.
650 0 ▼a Natural language processing (Computer science)
700 1 ▼a Riloff, Ellen.
700 1 ▼a Scheler, Gabriele.
700 1 ▼a Wermter, Stefan.
830 0 ▼a Lecture notes in computer science ; ▼v 1040.
830 0 ▼a Lecture notes in computer science. ▼p Lecture notes in artificial intelligence.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.35 C752 Accession No. 111250906 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Learning approaches for natural language processing.- Separating learning and representation.- Natural language grammatical inference: A comparison of recurrent neural networks and machine learning methods.- Extracting rules for grammar recognition from Cascade-2 networks.- Generating English plural determiners from semantic representations: A neural network learning approach.- Knowledge acquisition in concept and document spaces by using self-organizing neural networks.- Using hybrid connectionist learning for speech/language analysis.- SKOPE: A connectionist/symbolic architecture of spoken Korean processing.- Integrating different learning approaches into a multilingual spoken language translation system.- Learning language using genetic algorithms.- A statistical syntactic disambiguation program and what it learns.- Training stochastic grammars on semantical categories.- Learning restricted probabilistic link grammars.- Learning PP attachment from corpus statistics.- A minimum description length approach to grammar inference.- Automatic classification of dialog acts with Semantic Classification Trees and Polygrams.- Sample selection in natural language learning.- Learning information extraction patterns from examples.- Implications of an automatic lexical acquisition system.- Using learned extraction patterns for text classification.- Issues in inductive learning of domain-specific text extraction rules.- Applying machine learning to anaphora resolution.- Embedded machine learning systems for natural language processing: A general framework.- Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique.- Applying an existing machine learning algorithm to text categorization.- Comparative results on using inductive logic programming for corpus-based parser construction.- Learning the past tense of English verbs using inductive logic programming.- A dynamic approach to paradigm-driven analogy.- Can punctuation help learning?.- Using parsed corpora for circumventing parsing.- A symbolic and surgical acquisition of terms through variation.- A revision learner to acquire verb selection rules from human-made rules and examples.- Learning from texts - A terminological metareasoning perspective.


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