Abstract is missing.
- Front Matter [doi]
- Learning in Natural Language: Theory and Algorithmic ApproachesDan Roth. 1-6 [doi]
- Corpus-Based Grammar SpecializationNicola Cancedda, Christer Samuelsson. 7-12 [doi]
- Pronunciation by Analogy in Normal and Impaired ReadersRobert I. Damper, Yannick Marchand. 13-18 [doi]
- The Role of Algorithm Bias vs Information Source in Learning Algorithms for Morphosyntactic DisambiguationGuy De Pauw, Walter Daelemans. 19-24 [doi]
- Increasing our Ignorance' of Language: Identifying Language Structure in an Unknown 'Signal'John Elliott, Eric Atwell, Bill Whyte. 25-30 [doi]
- A Comparison between Supervised Learning Algorithms for Word Sense DisambiguationGerard Escudero, Lluís Màrquez, German Rigau. 31-36 [doi]
- Incorporating Position Information into a Maximum Entropy/Minimum Divergence Translation ModelGeorge F. Foster. 37-42 [doi]
- Memory-Based Learning for Article GenerationGuido Minnen, Francis Bond, Ann A. Copestake. 43-48 [doi]
- Overfitting Avoidance for Stochastic Modeling of Attribute-Value GrammarsTony Mullen, Miles Osborne. 49-54 [doi]
- Learning Distributed Linguistic ClassesStephan Raaijmakers. 55-60 [doi]
- Modeling the Effect of Cross-Language Ambiguity on Human Syntax AcquisitionWilliam Gregory Sakas. 61-66 [doi]
- Knowledge-Free Induction of Morphology Using Latent Semantic AnalysisPatrick Schone, Daniel Jurafsky. 67-72 [doi]
- Using Induced Rules as Complex Features in Memory-Based Language LearningAntal van den Bosch. 73-78 [doi]
- Using Perfect Sampling in Parameter Estimation of a Whole Sentence Maximum Entropy Language ModelFredy Amayat, José-Miguel Benedí. 79-82 [doi]
- Experiments on Unsupervised Learning for Extracting Relevant Fragments from Spoken Dialog CorpusKonstantin Biatov. 83-86 [doi]
- Generating Synthetic Speech Prosody with Lazy Learning in Tree StructuresLaurent Blin, Laurent Miclet. 87-90 [doi]
- Inducing Syntactic Categories by Context Distribution ClusteringAlexander Clark. 91-94 [doi]
- ALLiS: a Symbolic Learning System for Natural Language LearningHervé Déjean. 95-98 [doi]
- Combining Text and Heuristics for Cost-Sensitive Spam FilteringJosé María Gómez Hidalgo, Manual Maña López, Enrique Puertas Sanz. 99-102 [doi]
- Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language ProcessingAnne Kool, Walter Daelemans, Jakub Zavrel. 103-106 [doi]
- Shallow Parsing by Inferencing with ClassifiersVasin Punyakanok, Dan Roth. 107-110 [doi]
- Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov ModelsPatrick Ruch, Robert H. Baud, Pierrette Bouillon, Gilbert Robert. 111-114 [doi]
- Learning IE Rules for a Set of Related ConceptsJordi Turmo, Horacio Rodríguez. 115-118 [doi]
- A Default First Order Family Weight Determination Procedure for WPDV ModelsHans van Halteren. 119-122 [doi]
- A Comparison of PCFG ModelsJose L. Verdú-Mas, Jorge Calera-Rubio, Rafael C. Carrasco. 123-126 [doi]
- Introduction to the CoNLL-2000 Shared Task ChunkingErik F. Tjong Kim Sang, Sabine Buchholz. 127-132 [doi]
- Learning Syntactic Structures with XMLHervé Déjean. 133-135 [doi]
- A Context Sensitive Maximum Likelihood Approach to ChunkingChrister Johansson. 136-138 [doi]
- Chunking with Maximum Entropy ModelsRob Koeling. 139-141 [doi]
- Use of Support Vector Learning for Chunk IdentificationTaku Kudoh, Yuji Matsumoto. 142-144 [doi]
- Shallow Parsing as Part-of-Speech TaggingMiles Osborne. 145-147 [doi]
- Improving Chunking by Means of Lexical-Contextual Information in Statistical Language ModelsFerran Plà, Antonio Molina, Natividad Prieto. 148-150 [doi]
- Text Chunking by System CombinationErik F. Tjong Kim Sang. 151-153 [doi]
- Chunking with WPDV ModelsHans van Halteren. 154-156 [doi]
- Single-Classifier Memory-Based Phrase ChunkingJorn Veenstra, Antal van den Bosch. 157-160 [doi]
- Phrase Parsing with Rule Sequence Processors: an Application to the Shared CoNLL TaskMarc B. Vilain, David S. Day. 160-162 [doi]
- Hybrid Text ChunkingGuodong Zhou, Jian Su, TongGuan Tey. 163-166 [doi]
- Extracting a Domain-Specific Ontology from a Corporate IntranetJörg-Uwe Kietz, Raphael Volz, Alexander Maedche. 167-175 [doi]
- Learning from a Substructural PerspectivePieter W. Adriaans, Erik de Haas. 176-183 [doi]
- Incorporating Linguistics Constraints into Inductive Logic ProgrammingJames Cussens, Stephen Pulman. 184-193 [doi]
- Learning from Parsed Sentences with INTHELEXFloriana Esposito, Stefano Ferilli, Nicola Fanizzi, Giovanni Semeraro. 194-198 [doi]
- Inductive Logic Programming for Corpus-Based Acquisition of Semantic LexiconsPascale Sébillot, Pierrette Bouillon, Cécile Fabre. 199-208 [doi]
- The Acquisition of Word Order by a Computational Learning SystemAline Villavicencio. 209-218 [doi]
- Recognition and Tagging of Compound Verb Groups in CzechEva Zácková, Lubos Popelínsky, Miloslav Nepil. 219-225 [doi]