• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 34 matches

• 1996
• 
  Stefan Wermter, Ellen Riloff, Gabriele Scheler:
  Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing. Lecture Notes in Computer Science 1040, Springer 1996, ISBN 3-540-60925-3 [contents]
• 1995
• 
  Chinatsu Aone, Scott W. Bennett:
  Applying machine learning to anaphora resolution. Learning for Natural Language Processing 1995: 302-314
• 
  Claire Cardie:
  Embedded machine learning systems for natural language processing: a general framework. Learning for Natural Language Processing 1995: 315-328
• 
  Sean P. Engelson, Ido Dagan:
  Sample selection in natural language learning. Learning for Natural Language Processing 1995: 230-245
• 
  Murat Ersan, Eugene Charniak:
  A statistical syntactic disambiguation program and what it learns. Learning for Natural Language Processing 1995: 146-159
• 
  Stefano Federici, Vito Pirrelli, François Yvon:
  A dynamic approach to paradigm-driven analogy. Learning for Natural Language Processing 1995: 385-398
• 
  Eva Wai-man Fong, Dekai Wu:
  Learning restricted probabilistic link grammars. Learning for Natural Language Processing 1995: 173-187
• 
  Alexander Franz:
  Learning PP attachment from corpus statistics. Learning for Natural Language Processing 1995: 188-202
• 
  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. Learning for Natural Language Processing 1995: 117-131
• 
  Peter Grünwald:
  A minimum description length approach to grammar inference. Learning for Natural Language Processing 1995: 203-216
• 
  Udo Hahn, Manfred Klenner, Klemens Schnattinger:
  Learning from texts - a terminological metareasoning perspective. Learning for Natural Language Processing 1995: 453-468
• 
  Peter M. Hastings:
  Implications of an automatic lexical acquisition system. Learning for Natural Language Processing 1995: 261-274
• 
  Ross Hayward, Alan B. Tickle, Joachim Diederich:
  Extracting rules for grammar recognition from Cascade-2 networks. Learning for Natural Language Processing 1995: 48-60
• 
  Wide R. Hogenhout, Yuji Matsumoto:
  Training stochastic grammars on semantical categories. Learning for Natural Language Processing 1995: 160-172
• 
  Scott B. Huffman:
  Learning information extraction patterns from examples. Learning for Natural Language Processing 1995: 246-260
• 
  Christian Jacquemin:
  A symbolic and surgical acquisition of terms through variation. Learning for Natural Language Processing 1995: 425-438
• 
  Aravind K. Joshi, Srinivas Bangalore:
  Using parsed corpora for circumventing parsing. Learning for Natural Language Processing 1995: 413-424
• 
  Shigeo Kaneda, Hussein Almuallim, Yasuhiro Akiba, Megumi Ishii, Tsukasa Kawaoka:
  A revision learner to acquire verb selection rules from human-made rules and examples. Learning for Natural Language Processing 1995: 439-452
• 
  Steve Lawrence, Sandiway Fong, C. Lee Giles:
  Natural language grammatical inference: a comparison of recurrent neural networks and machine learning methods. Learning for Natural Language Processing 1995: 33-47
• 
  Gary Geunbae Lee, Jong-Hyeok Lee:
  SKOPE: A connectionist/symbolic architecture of spoken Korean processing. Learning for Natural Language Processing 1995: 102-116
• 
  Marion Mast, Heinrich Niemann, Elmar Nöth, Ernst Günter Schukat-Talamazzini:
  Automatic classification of dialog acts with semantic classification trees and polygrams. Learning for Natural Language Processing 1995: 217-229
• 
  Raymond J. Mooney, Mary Elaine Califf:
  Learning the past tense of English verbs using inductive logic programming. Learning for Natural Language Processing 1995: 370-384
• 
  Isabelle Moulinier, Jean-Gabriel Ganascia:
  Applying an existing machine learning algorithm to text categorization. Learning for Natural Language Processing 1995: 343-354
• 
  Miles Osborne:
  Can punctuation help learning? Learning for Natural Language Processing 1995: 399-412
• 
  Ellen Riloff:
  Using learned extraction patterns for text classification. Learning for Natural Language Processing 1995: 275-289
• 
  Gabriele Scheler:
  Generating English plural determiners from semantic representations: a neural network learning approach. Learning for Natural Language Processing 1995: 61-74
• 
  Noel E. Sharkey, Amanda J. C. Sharkey:
  Separating learning and representation. Learning for Natural Language Processing 1995: 17-32
• 
  Tony C. Smith, Ian H. Witten:
  Learning language using genetic algorithms. Learning for Natural Language Processing 1995: 132-145
• 
  Stephen Soderland, David Fisher, Jonathan Aseltine, Wendy G. Lehnert:
  Issues in inductive learning of domain-specific text extraction rules. Learning for Natural Language Processing 1995: 290-301
• 
  Volker Weber, Stefan Wermter:
  Using hybrid connectionist learning for speech/language analysis. Learning for Natural Language Processing 1995: 87-101

skipping 4 more matches