| ACL Anthology |
| A Digital Archive of Research Papers in Computational Linguistics |
W97/W97-1001: Amit Bagga; Joyce Yue Chai
A Trainable Message Understanding System
W97/W97-1002: Mary Elaine Califf; Raymond J. Mooney
Relational Learning of Pattern-Match Rules for Information Extraction
W97/W97-1003: Wide R. Hogenhout; Yuji Matsumoto
A Preliminary Study of Word Clustering Based on Syntactic Behavior
W97/W97-1004: Ji Donghong; He Jun; Huang Changning
Learning New Compositions from Given Ones
W97/W97-1005: Mehmet Kayaalp; Ted Pedersen; Rebecca Bruce
A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment
W97/W97-1006: Emin Erkan Korkmaz; Gokturk Ucoluk
METHOD FOR IMPROVING AUTOMATIC WORD CATEGORIZATION
W97/W97-1007: Montse Maritxalar; Arantza Diaz de Ilarraza; Maite Oronoz
From Psycholinguistic Modelling of Interlanguage in Second Language Acquisition to a Computational Model
W97/W97-1008: Laura Mayfield Tomokiyo; Klaus Ries
What makes a word: Learning base units in Japanese for speech recognition
W97/W97-1009: Ramin Charles Nakisa; Kim Plunkett
Evolution of a Rapidly Learned Representation for Speech
W97/W97-1010: Miles Osborne; Ted Briscoe
Learning Stochastic Categorial Grammars
W97/W97-1011: David M. W. Powers
Learning and Application of Differential Grammars
W97/W97-1012: Jennifer Rodd
Recurrent Neural-Network Learning of Phonological Regularities in Turkish
W97/W97-1013: K. Sima'an
Explanation-Based Learning of Data-Oriented Parsing
W97/W97-1014: Christoph Tillmann; Hermann Ney
Word Triggers and the EM Algorithm
W97/W97-1015: Werner Winiwarter; Yahiko Kambayashi
A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces
W97/W97-1016: Jakub Zavrel; Walter Daelemans; Jorn Veenstra
Resolving PP attachment Ambiguities with Memory-Based Learning
EACL 1999: CoNLL-99 Computational Natural Language Learning
W99/W99-0701: Chunyu Kitt; Yorick Wilks
Unsupervised Learning of Word Boundary with Description Length Gain
W99/W99-0702: Andrd Kemp
Experiments in Unsupervised Entropy-Based Corpus Segmentation
W99/W99-0703: Kemal Oflazer; Sergei Nirenburg
Practical Bootstrapping of Morphological Analyzers
W99/W99-0704: Stephan Raaijmakers
Finding Representations for Memory-Based Language Learning
W99/W99-0705: Torbjorn Lager
The u-TBL System: Logic Programming Tools for Transformation-Based Learning
W99/W99-0706: Lisa Ferro; Marc Vilain; Alexander Yeh
Learning Transformation Rules to Find Grammatical Relations
W99/W99-0707: Walter Daelemans; Sabine Buchholz; Jorn Veenstra
Memory-Based Shallow Parsing
W99/W99-0708: Miles Osborne
MDL-based DCG Induction for NP Identification
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning (ConLL)
W01/W01-0701: Florian, Radu; Ngai, Grace
Multidimensional transformation-based learning
W01/W01-0702: Hammerton, James; Tjong Kim Sang, Erik F.
Combining a self-organising map with memory-based learning
W01/W01-0703: Agirre, Eneko; Martinez, David
Learning class-to-class selectional preferences
W01/W01-0704: Saiz-Noeda, Maximiliano; Suárez, Armando; Palomar, Manuel
Semantic pattern learning through maximum entropy-based WSD technique
W01/W01-0705: Tsang, Vivian; Stevenson, Suzanne
Automatic verb classification using multilingual resources
W01/W01-0706: Li, Xin; Roth, Dan
Exploring evidence for shallow parsing
W01/W01-0707: Gaussier, Eric; Cancedda, Nicola
Probabilistic models for PP-attachment resolution and NP analysis
W01/W01-0708: Tjong Kim Sang, Erik F.; Déjean, Hervé
Introduction to the CoNLL-2001 shared task: clause identification
W01/W01-0709: Estabrooks, Andrew; Japkowicz, Nathalie
A mixture-of-experts framework for text classification
W01/W01-0710: Hwa, Rebecca
On minimizing training corpus for parser acquisition
W01/W01-0711: Zajac, Rémi
Morpholog: Constrained and Supervised Learning of Morphology
W01/W01-0712: Nerbonne, John; Belz, Anja; Cancedda, Nicola; Déjean, Hervé; Hammerton, James; Koeling, Rob; Konstantopoulos, Stasinos; Osborne, Miles; Thollard, Franck; Tjong Kim Sang, Erik F.
Learning Computational Grammars
W01/W01-0713: Clark, Alexander
Unsupervised induction of stochastic context-free grammars using distributional clustering
W01/W01-0714: Klein, Dan; Manning, Christopher D.
Distributional phrase structure induction
W01/W01-0715: Merlo, Paola; Leybold, Matthias
Automatic distinction of arguments and modifiers: the case of prepositional phrases
W01/W01-0716: Orasan, Constantin; Evans, Richard
Learning to identify animate references
W01/W01-0717: Hartrumpf, Sven
Coreference resolution with syntactico-semantic rules and corpus statistics
W01/W01-0718: Carl, Michael
Inducing probabilistic invertible translation grammars from aligned texts
W01/W01-0719: Muresan, Smaranda; Tzoukermann, Evelyne; Klavans, Judith L.
Combining linguistic and machine learning techniques for email summarization
W01/W01-0720: Watkinson, Stephen; Manandhar, Suresh
A psychologically plausible and computationally effective approach to learning syntax
W01/W01-0721: Patrick, Jon D.; Goyal, Ishaan
Boosted decision graphs for NLP learning tasks
W01/W01-0722: Hammerton, James
Clause identification with long short-term memory
W01/W01-0723: Déjean, Hervé
Using ALLiS for clausing
W01/W01-0724: Tjong Kim Sang, Erik F.
Memory-based clause identification
W01/W01-0725: Molina, Antonio; Pla, Ferran
Clause detection using HMM
W01/W01-0726: Carreras, Xavier; Màrquez, Lluís
Boosting trees for clause splitting
COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002)
W02/W02-2001: Timothy Baldwin; Aline Villavicencio
Extracting the Unextractable: A Case Study on Verb-particles
W02/W02-2002: William J. Black; Argyrios Vasilakopoulos
Language Independent Named Entity Classification by modified Transformation-based Learning and by Decision Tree Induction
W02/W02-2003: John D. Burger; John C. Henderson; William T. Morgan
Statistical Named Entity Recognizer Adaptation
W02/W02-2004: Xavier Carreras; Lluís Màrquez; Lluís Padró
Named Entity Extraction using AdaBoost
W02/W02-2005: Liviu Ciortuz
Learning Attribute Values in Typed-unification Grammars: On Generalised Rule Reduction
W02/W02-2006: Silviu Cucerzan; David Yarowsky
Bootstrapping a Multilingual Part-of-speech Tagger in One Person-day
W02/W02-2007: Silviu Cucerzan; David Yarowsky
Language Independent NER using a Unified Model of Internal and Contextual Evidence
W02/W02-2008: James R. Curran; Miles Osborne
A Very Very Large Corpus Doesn't Always Yield Reliable Estimates
W02/W02-2009: Ido Dagan; Zvika Marx; Eli Shamir
Cross-dataset Clustering: Revealing Corresponding Themes across Multiple Corpora
W02/W02-2010: Radu Florian
Named Entity Recognition as a House of Cards: Classifier Stacking
W02/W02-2011: Cyril Goutte; Hervé Déjean; Eric Gaussier; Nicola Cancedda; Jean-Michel Renders
Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition
W02/W02-2012: Peter Juel Henrichsen
GraSp: Grammar Learning from Unlabelled Speech Corpora
W02/W02-2013: Martin Jansche
Named Entity Extraction with Conditional Markov Models and Classifiers
W02/W02-2014: Anna Korhonen; Yuval Krymolowski
On the Robustness of Entropy-Based Similarity Measures in Evaluation of Subcategorization Acquisition Systems
W02/W02-2015: Yuval Krymolowski
Distinguishing Easy and Hard Instances
W02/W02-2016: Taku Kudo; Yuji Matsumoto
Japanese Dependency Analysis using Cascaded Chunking
W02/W02-2017: Wei-Hao Lin; Hsin-Hsi Chen
Backward Machine Transliteration by Learning Phonetic Similarity
W02/W02-2018: Robert Malouf
A Comparison of Algorithms for Maximum Entropy Parameter Estimation
W02/W02-2019: Robert Malouf
Markov Models for Language-independent Named Entity Recognition
W02/W02-2020: Paul McNamee; James Mayfield
Entity Extraction without Language-Specific Resources
W02/W02-2021: Rada Mihalcea; Vivi Nastase
Letter Level Learning for Language Independent Diacritics Restoration
W02/W02-2022: Jon Patrick; Casey Whitelaw; Robert Munro
SLINERC: The Sydney Language-Independent Named Entity Recogniser and Classifier
W02/W02-2023: Uwe Quasthoff; Christian Biemann; Christian Wolff
Named Entity Learning and Verification: Expectation Maximization in Large Corpora
W02/W02-2024: Erik F. Tjong Kim Sang
Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition
W02/W02-2025: Erik F. Tjong Kim Sang
Memory-Based Named Entity Recognition
W02/W02-2026: Charles Schafer; David Yarowsky
Inducing Translation Lexicons via Diverse Similarity Measures and Bridge Languages
W02/W02-2027: S. H. Srinivasan
Features for Unsupervised Document Classification
W02/W02-2028: Hiroya Takamura; Yuji Matsumoto
Two-dimensional Clustering for Text Categorization
W02/W02-2029: Koichi Takeuchi; Nigel Collier
Use of Support Vector Machines in Extended Named Entity Recognition
W02/W02-2030: Kristina Toutanova; Christopher D. Manning
Feature Selection for a Rich HPSG Grammar Using Decision Trees
W02/W02-2031: Koji Tsukamoto; Yutaka Mitsuishi; Manabu Sassano
Learning with Multiple Stacking for Named Entity Recognition
W02/W02-2032: Jorn Veenstra; Frank Henrik Müller; Tylman Ule
Topological Field Chunking for German
W02/W02-2033: Aline Villavicencio
Learning to Distinguish PP Arguments from Adjuncts
W02/W02-2034: Janyce Wiebe; Theresa Wilson
Learning to Disambiguate Potentially Subjective Expressions
W02/W02-2035: Dekai Wu; Grace Ngai; Marine Carpuat; Jeppe Larsen; Yongsheng Yang
Boosting for Named Entity Recognition
Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003
W03/W03-0401: Yusuke Miyao; Jun'ichi Tsujii
A model of syntactic disambiguation based on lexicalized grammars
W03/W03-0402: Libin Shen; Aravind K. Joshi
An SVM-based voting algorithm with application to parse reranking
W03/W03-0403: Jason Baldridge; Miles Osborne
Active learning for HPSG parse selection
W03/W03-0404: Ellen Riloff; Janyce Wiebe; Theresa Wilson
Learning subjective nouns using extraction pattern bootstrapping
W03/W03-0405: Gideon Mann; David Yarowsky
Unsupervised Personal Name Disambiguation
W03/W03-0406: Hiroyuki Shinnou; Minoru Sasaki
Unsupervised learning of word sense disambiguation rules by estimating an optimum iteration number in the EM algorithm
W03/W03-0407: Stephen Clark; James Curran; Miles Osborne
Bootstrapping POS-taggers using unlabelled data
W03/W03-0408: Tong Zhang; Fred Damerau; David Johnson
Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem
W03/W03-0409: Mihai Rotaru; Diane J. Litman
Exceptionality and Natural Language Learning
W03/W03-0410: Suzanne Stevenson; Eric Joanis
Semi-supervised Verb Class Discovery Using Noisy Features
W03/W03-0411: Tom O'Hara; Janyce Wiebe
Preposition Semantic Classification via Treebank and FrameNet
W03/W03-0412: Xin Li; Dan Roth; Yuancheng Tu
Phrasenet: towards context sensitive lexical semantics
W03/W03-0413: Simona Gandrabur; George Foster
Confidence estimation for translation prediction
W03/W03-0414: Katharina Probst
Using 'smart' bilingual projection to feature-tag a monolingual dictionary
W03/W03-0415: Scott Cederberg; Dominic Widdows
Using LSA and Noun Coordination Information to Improve the Recall and Precision of Automatic Hyponymy Extraction
W03/W03-0416: Takuya Matsuzaki; Yusuke Miyao; Jun'ichi Tsujii
An efficient clustering algorithm for class-based language models
W03/W03-0417: Yoshimasa Tsuruoka; Jun'ichi Tsujii
Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint
W03/W03-0418: Dominic R. Jones; Cynthia A. Thompson
Identifying Events using Similarity and Context
W03/W03-0419: Erik F. Tjong Kim Sang; Fien De Meulder
Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
W03/W03-0420: Oliver Bender; Franz Josef Och; Hermann Ney
Maximum Entropy Models for Named Entity Recognition
W03/W03-0421: Xavier Carreras; LluÃs Márquez; LluÃs Padró
A Simple Named Entity Extractor using AdaBoost
W03/W03-0422: Xavier Carreras; LluÃs Márquez; LluÃs Padró
Learning a Perceptron-Based Named Entity Chunker via Online Recognition Feedback
W03/W03-0423: Hai Leong Chieu; Hwee Tou Ng
Named Entity Recognition with a Maximum Entropy Approach
W03/W03-0424: James Curran; Stephen Clark
Language Independent NER using a Maximum Entropy Tagger
W03/W03-0425: Radu Florian; Abe Ittycheriah; Hongyan Jing; Tong Zhang
Named Entity Recognition through Classifier Combination
W03/W03-0426: James Hammerton
Named Entity Recognition with Long Short-Term Memory
W03/W03-0427: Iris Hendrickx; Antal van den Bosch
Memory-based one-step named-entity recognition: Effects of seed list features, classifier stacking, and unannotated data
W03/W03-0428: Dan Klein; Joseph Smarr; Huy Nguyen; Christopher D. Manning
Named Entity Recognition with Character-Level Models
W03/W03-0429: James Mayfield; Paul McNamee; Christine Piatko
Named Entity Recognition using Hundreds of Thousands of Features
W03/W03-0430: Andrew McCallum; Wei Li
Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons
W03/W03-0431: Robert Munro; Daren Ler; Jon Patrick
Meta-Learning Orthographic and Contextual Models for Language Independent Named Entity Recognition
W03/W03-0432: Casey Whitelaw; Jon Patrick
Named Entity Recognition Using a Character-based Probabilistic Approach
W03/W03-0433: Dekai Wu; Grace Ngai; Marine Carpuat
A Stacked, Voted, Stacked Model for Named Entity Recognition
W03/W03-0434: Tong Zhang; David Johnson
A Robust Risk Minimization based Named Entity Recognition System
W03/W03-0435: Fien De Meulder; Walter Daelemans
Memory-Based Named Entity Recognition using Unannotated Data