Abstract is missing.
- Learning approaches for natural language processingStefan Wermter, Ellen Riloff, Gabriele Scheler. 1-16
- Separating learning and representationNoel E. Sharkey, Amanda J. C. Sharkey. 17-32
- Natural language grammatical inference: a comparison of recurrent neural networks and machine learning methodsSteve Lawrence, Sandiway Fong, C. Lee Giles. 33-47
- Extracting rules for grammar recognition from Cascade-2 networksRoss Hayward, Alan B. Tickle, Joachim Diederich. 48-60
- Generating English plural determiners from semantic representations: a neural network learning approachGabriele Scheler. 61-74
- Knowledge acquisition in concept and document spaces by using self-organizing neural networksWerner Winiwarter, Erich Schweighofer, Dieter Merkl. 75-86
- Using hybrid connectionist learning for speech/language analysisVolker Weber, Stefan Wermter. 87-101
- SKOPE: A connectionist/symbolic architecture of spoken Korean processingGary Geunbae Lee, Jong-Hyeok Lee. 102-116
- Integrating different learning approaches into a multilingual spoken language translation systemPetra 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. 117-131
- Learning language using genetic algorithmsTony C. Smith, Ian H. Witten. 132-145
- A statistical syntactic disambiguation program and what it learnsMurat Ersan, Eugene Charniak. 146-159
- Training stochastic grammars on semantical categoriesWide R. Hogenhout, Yuji Matsumoto. 160-172
- Learning restricted probabilistic link grammarsEva Wai-man Fong, Dekai Wu. 173-187
- Learning PP attachment from corpus statisticsAlexander Franz. 188-202
- A minimum description length approach to grammar inferencePeter Grünwald. 203-216
- Automatic classification of dialog acts with semantic classification trees and polygramsMarion Mast, Heinrich Niemann, Elmar Nöth, Ernst Günter Schukat-Talamazzini. 217-229
- Sample selection in natural language learningSean P. Engelson, Ido Dagan. 230-245
- Learning information extraction patterns from examplesScott B. Huffman. 246-260
- Implications of an automatic lexical acquisition systemPeter M. Hastings. 261-274
- Using learned extraction patterns for text classificationEllen Riloff. 275-289
- Issues in inductive learning of domain-specific text extraction rulesStephen Soderland, David Fisher, Jonathan Aseltine, Wendy G. Lehnert. 290-301
- Applying machine learning to anaphora resolutionChinatsu Aone, Scott Bennett. 302-314
- Embedded machine learning systems for natural language processing: a general frameworkClaire Cardie. 315-328
- Acquiring and updating hierarchical knowledge for machine translation based on a clustering techniqueTakefumi Yamazaki, Michael J. Pazzani, Christopher J. Merz. 329-342
- Applying an existing machine learning algorithm to text categorizationIsabelle Moulinier, Jean-Gabriel Ganascia. 343-354
- Comparative results on using inductive logic programming for corpus-based parser constructionJohn M. Zelle, Raymond J. Mooney. 355-369
- Learning the past tense of English verbs using inductive logic programmingRaymond J. Mooney, Mary Elaine Califf. 370-384
- A dynamic approach to paradigm-driven analogyStefano Federici, Vito Pirrelli, François Yvon. 385-398
- Can punctuation help learning?Miles Osborne. 399-412
- Using parsed corpora for circumventing parsingAravind K. Joshi, Srinivas Bangalore. 413-424
- A symbolic and surgical acquisition of terms through variationChristian Jacquemin. 425-438
- A revision learner to acquire verb selection rules from human-made rules and examplesShigeo Kaneda, Hussein Almuallim, Yasuhiro Akiba, Megumi Ishii, Tsukasa Kawaoka. 439-452
- Learning from texts - a terminological metareasoning perspectiveUdo Hahn, Manfred Klenner, Klemens Schnattinger. 453-468