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ORCID4th CoNLL / 2. LLL 2000: Lisbon, Portugal
- Walter Daelemans, Rémi Zajac:
Fourth Conference on Computational Natural Language Learning, CoNLL 2000, and the Second Learning Language in Logic Workshop, LLL 2000, Held in cooperation with ICGI-2000, Lisbon, Portugal, September 13-14, 2000. ACL 2000
CoNLL-2000 Invited Paper
- Dan Roth:
Learning in Natural Language: Theory and Algorithmic Approaches. 1-6
CoNLL-2000 Papers
- Nicola Cancedda, Christer Samuelsson:
Corpus-Based Grammar Specialization. 7-12 - Robert I. Damper, Yannick Marchand:
Pronunciation by Analogy in Normal and Impaired Readers. 13-18 - Guy De Pauw, Walter Daelemans:
The Role of Algorithm Bias vs Information Source in Learning Algorithms for Morphosyntactic Disambiguation. 19-24 - John R. Elliott, Eric Atwell, Bill Whyte:
Increasing our Ignorance' of Language: Identifying Language Structure in an Unknown 'Signal'. 25-30 - Gerard Escudero, Lluís Màrquez, German Rigau:
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation. 31-36 - George F. Foster:
Incorporating Position Information into a Maximum Entropy/Minimum Divergence Translation Model. 37-42 - Guido Minnen, Francis Bond, Ann A. Copestake:
Memory-Based Learning for Article Generation. 43-48 - Tony Mullen, Miles Osborne:
Overfitting Avoidance for Stochastic Modeling of Attribute-Value Grammars. 49-54 - Stephan Raaijmakers:
Learning Distributed Linguistic Classes. 55-60 - William Gregory Sakas:
Modeling the Effect of Cross-Language Ambiguity on Human Syntax Acquisition. 61-66 - Patrick Schone, Daniel Jurafsky:
Knowledge-Free Induction of Morphology Using Latent Semantic Analysis. 67-72 - Antal van den Bosch:
Using Induced Rules as Complex Features in Memory-Based Language Learning. 73-78
CoNLL-2000 Short Papers
- Fredy Amayat, José-Miguel Benedí:
Using Perfect Sampling in Parameter Estimation of a Whole Sentence Maximum Entropy Language Model. 79-82 - Konstantin Biatov:
Experiments on Unsupervised Learning for Extracting Relevant Fragments from Spoken Dialog Corpus. 83-86 - Laurent Blin, Laurent Miclet:
Generating Synthetic Speech Prosody with Lazy Learning in Tree Structures. 87-90 - Alexander Clark:
Inducing Syntactic Categories by Context Distribution Clustering. 91-94 - Hervé Déjean:
ALLiS: a Symbolic Learning System for Natural Language Learning. 95-98 - José María Gómez Hidalgo, Manual Maña López, Enrique Puertas Sanz:
Combining Text and Heuristics for Cost-Sensitive Spam Filtering. 99-102 - Anne Kool, Walter Daelemans, Jakub Zavrel:
Genetic Algorithms for Feature Relevance Assignment in Memory-Based Language Processing. 103-106 - Vasin Punyakanok, Dan Roth:
Shallow Parsing by Inferencing with Classifiers. 107-110 - Patrick Ruch, Robert H. Baud, Pierrette Bouillon, Gilbert Robert:
Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models. 111-114 - Jordi Turmo, Horacio Rodríguez:
Learning IE Rules for a Set of Related Concepts. 115-118 - Hans van Halteren:
A Default First Order Family Weight Determination Procedure for WPDV Models. 119-122 - Jose L. Verdú-Mas, Jorge Calera-Rubio, Rafael C. Carrasco:
A Comparison of PCFG Models. 123-126
CoNLL-2000 Shared Task Papers
- Erik F. Tjong Kim Sang, Sabine Buchholz:
Introduction to the CoNLL-2000 Shared Task Chunking. 127-132 - Hervé Déjean:
Learning Syntactic Structures with XML. 133-135 - Christer Johansson:
A Context Sensitive Maximum Likelihood Approach to Chunking. 136-138 - Rob Koeling:
Chunking with Maximum Entropy Models. 139-141 - Taku Kudoh, Yuji Matsumoto:
Use of Support Vector Learning for Chunk Identification. 142-144 - Miles Osborne:
Shallow Parsing as Part-of-Speech Tagging. 145-147 - Ferran Plà, Antonio Molina, Natividad Prieto:
Improving Chunking by Means of Lexical-Contextual Information in Statistical Language Models. 148-150 - Erik F. Tjong Kim Sang:
Text Chunking by System Combination. 151-153 - Hans van Halteren:
Chunking with WPDV Models. 154-156 - Jorn Veenstra, Antal van den Bosch:
Single-Classifier Memory-Based Phrase Chunking. 157-160 - Marc B. Vilain, David S. Day:
Phrase Parsing with Rule Sequence Processors: an Application to the Shared CoNLL Task. 160-162 - Guodong Zhou, Jian Su, TongGuan Tey:
Hybrid Text Chunking. 163-166
LLL-2000 Invited Paper
- Jörg-Uwe Kietz, Raphael Volz, Alexander Maedche:
Extracting a Domain-Specific Ontology from a Corporate Intranet. 167-175
LLL-2000 Papers
- Pieter W. Adriaans, Erik de Haas:
Learning from a Substructural Perspective. 176-183 - James Cussens, Stephen Pulman:
Incorporating Linguistics Constraints into Inductive Logic Programming. 184-193 - Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Giovanni Semeraro:
Learning from Parsed Sentences with INTHELEX. 194-198 - Pascale Sébillot, Pierrette Bouillon, Cécile Fabre:
Inductive Logic Programming for Corpus-Based Acquisition of Semantic Lexicons. 199-208 - Aline Villavicencio:
The Acquisition of Word Order by a Computational Learning System. 209-218 - Eva Zácková, Lubos Popelínský, Miloslav Nepil:
Recognition and Tagging of Compound Verb Groups in Czech. 219-225
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