14. IJCAI 1995:
Montréal,
Québec,
Canada - Learning for Natural Language Processing
Stefan Wermter, Ellen Riloff, Gabriele Scheler (Eds.):
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing.
Lecture Notes in Computer Science 1040 Springer 1996, ISBN 3-540-60925-3 BibTeX
@proceedings{DBLP:conf/ijcai/1995lp,
editor = {Stefan Wermter and
Ellen Riloff and
Gabriele Scheler},
title = {Connectionist, Statistical, and Symbolic Approaches to Learning
for Natural Language Processing},
booktitle = {Learning for Natural Language Processing},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1040},
year = {1996},
isbn = {3-540-60925-3},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Connectionist Networks and Hybrid Approaches
- Noel E. Sharkey, Amanda J. C. Sharkey:
Separating learning and representation.
17-32 BibTeX
- Steve Lawrence, Sandiway Fong, C. Lee Giles:
Natural language grammatical inference: a comparison of recurrent neural networks and machine learning methods.
33-47 BibTeX
- Ross Hayward, Alan B. Tickle, Joachim Diederich:
Extracting rules for grammar recognition from Cascade-2 networks.
48-60 BibTeX
- Gabriele Scheler:
Generating English plural determiners from semantic representations: a neural network learning approach.
61-74 BibTeX
- Werner Winiwarter, Erich Schweighofer, Dieter Merkl:
Knowledge acquisition in concept and document spaces by using self-organizing neural networks.
75-86 BibTeX
- Volker Weber, Stefan Wermter:
Using hybrid connectionist learning for speech/language analysis.
87-101 BibTeX
- Gary Geunbae Lee, Jong-Hyeok Lee:
SKOPE: A connectionist/symbolic architecture of spoken Korean processing.
102-116 BibTeX
- Petra Geutner, Bernhard Suhm, Finn Dag Buø, Thomas Kemp, Laura Mayfield, Arthur E. McNair, Ivica Rogina, Tanja Schultz, Tilo Sloboda, Wayne H. Ward, Monika Woszczyna, Alex Waibel:
Integrating different learning approaches into a multilingual spoken language translation system.
117-131 BibTeX
- Tony C. Smith, Ian H. Witten:
Learning language using genetic algorithms.
132-145 BibTeX
Statistical Approaches
Symbolic Approaches
- Scott B. Huffman:
Learning information extraction patterns from examples.
246-260 BibTeX
- Peter M. Hastings:
Implications of an automatic lexical acquisition system.
261-274 BibTeX
- Ellen Riloff:
Using learned extraction patterns for text classification.
275-289 BibTeX
- Stephen Soderland, David Fisher, Jonathan Aseltine, Wendy G. Lehnert:
Issues in inductive learning of domain-specific text extraction rules.
290-301 BibTeX
- Chinatsu Aone, Scott Bennett:
Applying machine learning to anaphora resolution.
302-314 BibTeX
- Claire Cardie:
Embedded machine learning systems for natural language processing: a general framework.
315-328 BibTeX
- Takefumi Yamazaki, Michael J. Pazzani, Christopher J. Merz:
Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique.
329-342 BibTeX
- Isabelle Moulinier, Jean-Gabriel Ganascia:
Applying an existing machine learning algorithm to text categorization.
343-354 BibTeX
- John M. Zelle, Raymond J. Mooney:
Comparative results on using inductive logic programming for corpus-based parser construction.
355-369 BibTeX
- Raymond J. Mooney, Mary Elaine Califf:
Learning the past tense of English verbs using inductive logic programming.
370-384 BibTeX
- Stefano Federici, Vito Pirrelli, François Yvon:
A dynamic approach to paradigm-driven analogy.
385-398 BibTeX
- Miles Osborne:
Can punctuation help learning?
399-412 BibTeX
- Aravind K. Joshi, Srinivas Bangalore:
Using parsed corpora for circumventing parsing.
413-424 BibTeX
- Christian Jacquemin:
A symbolic and surgical acquisition of terms through variation.
425-438 BibTeX
- Shigeo Kaneda, Hussein Almuallim, Yasuhiro Akiba, Megumi Ishii, Tsukasa Kawaoka:
A revision learner to acquire verb selection rules from human-made rules and examples.
439-452 BibTeX
- Udo Hahn, Manfred Klenner, Klemens Schnattinger:
Learning from texts - a terminological metareasoning perspective.
453-468 BibTeX
Copyright © Sat May 16 23:23:27 2009
by Michael Ley (ley@uni-trier.de)
