- Machine learning of coreference resolution We will continue in this chapter with a description of the machine learners which
- Evaluating the results of a memorybased wordexpert approach to unrestricted word sense disambiguation.
- COMBINING INFORMATION SOURCES FOR MEMORYBASED PITCH ACCENT PLACEMENT
- Exploiting Grammatical Relations for Protein Relation Extraction and Role Labeling
- Meta-Learning for Phonemic Annotation of V eronique Hoste Walter Daelemans Erik Tjong Kim Sang
- Learning Dutch Coreference Resolution Veronique Hoste and Walter Daelemans
- In all previous chapters, we reported cross-validation results on the training data. Defining the anaphora resolution process as a classification problem, how-
- Manual for the annotation of coreferences in Dutch newspaper texts
- Bibliography Aha, D.: 1997, Lazy learning: Special issue editorial, Artificial Intelligence
- The problem of imbalanced data sets A general goal of classifier learning is to learn a model on the basis of training
- Selecting the optimal information sources and algorithm In the previous chapters we paved the way for our coreference resolution sys
- Coreferentially annotated corpora In the experiments reported in this thesis, we use two inductive learning meth
- Comparing Bagging and Boosting for Natural Language Processing Tasks: A Typicality Approach.
- In this thesis, we presented a machine learning approach to the resolution of coreferential relations between nominal constituents in Dutch. It is the first
- Evaluation of Machine Learning Methods for Natural Language Processing Walter Daelemans, V eronique Hoste
- A Modular Approach to Learning Dutch Co-reference Veronique Hoste
- Universiteit Antwerpen Faculteit Letteren en Wijsbegeerte
- In this thesis, we presented a machine learning approach to the resolution of coreferential relations between nominal constituents in Dutch. It is the first
- Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of
- Handleiding voor de Annotatie van Coreferenties in Nederlandse Teksten
- Introduction This thesis is about the automatic resolution of coreference using machine learn
- Three KNACK2002 documents for which a qualitative error analysis has been carried out
- Dutch Word Sense Disambiguation: Optimizing the Localness of Context
- Universiteit Antwerpen Faculteit Letteren en Wijsbegeerte
- Three MUC7 documents for which a qualitative error analysis has been carried out
- Comparing learning approaches to coreference resolution. There is more to it than `bias'
- Natural Language Engineering 1 (1): 000{000. Printed in the United King-1998 Cambridge University Press
- Towards a Balanced Named Entity Corpus for Dutch Bart Desmet1,2
- Coreferentially annotated corpora In the experiments reported in this thesis, we use two inductive learning meth-
- Disambiguation of the Neuter Pronoun and its Effect on Pronominal Coreference Resolution
- GAMBL, Genetic Algorithm Optimization of MemoryBased WSD Bart Decadt and V eronique Hoste and Walter Daelemans
- Meta-Learning for Phonemic Annotation of Corpora V eronique Hoste hoste@uia.ua.ac.be
- A Named Entity Recognition System for Dutch Fien De Meulder, Walter Daelemans and V
- Information sources In supervised learning of coreference resolution, one is given a training set con
- The Automatic Detection of Scientific Terms in Patient Information
- Information sources In supervised learning of coreference resolution, one is given a training set con-
- Classi er optimization and combination in the English all words V eronique Hoste and Anne Kool and Walter Daelemans
- Learning to predict pitch accents and prosodic boundaries in Dutch We train a decision tree inducer (CART)
- AUG: A combined classification and clustering approach for web people disambiguation
- Evaluating hybrid versus data-driven coreference Iris Hendrickx1
- This thesis presents a machine learning approach to the resolution of coreferen-tial relations between nominal constituents in Dutch. It is the first automatic
- Introduction This thesis is about the automatic resolution of coreference using machine learn-
- Selecting the optimal information sources and algorithm In the previous chapters we paved the way for our coreference resolution sys-
- Genetic algorithms for optimization In the previous chapter, we showed that a proper comparative experiment re-
- The problem of imbalanced data sets A general goal of classifier learning is to learn a model on the basis of training
- Ripper rules for the MUC-6 "Proper nouns" data set This Appendix contains the ripper rules learned after extensive feature selec-
- Three MUC-7 documents for which a qualitative error analysis has been carried out
- Three KNACK-2002 documents for which a qualitative error analysis has been carried out
- In all previous chapters, we reported crossvalidation results on the training data. Defining the anaphora resolution process as a classification problem, how
- Machine learning of coreference resolution We will continue in this chapter with a description of the machine learners which
- Machine Learning for Modeling Dutch Pronunciation Variation. V eronique Hoste, Steven Gillis, Walter Daelemans
- A Rule Induction Approach to Modeling Regional Pronunciation V eronique Hoste and Steven Gillis and Walter Daelemans
- Semantic and Syntactic Features for Dutch Coreference Resolution
- Learning-based Detection of Scientific Terms in Patient Information Veronique Hoste, Els Lefever, Klaar Vanopstal, Isabelle Delaere
- This thesis presents a machine learning approach to the resolution of coreferen tial relations between nominal constituents in Dutch. It is the first automatic
- Genetic algorithms for optimization In the previous chapter, we showed that a proper comparative experiment re
- Bibliography Aha, D.: 1997, Lazy learning: Special issue editorial, Artificial Intelligence
- Manual for the annotation of coreferences in Dutch newspaper texts
- Interacting Semantic Layers of Annotation in SoNaR, a Reference Corpus of Contemporary Written Dutch
- CURRICULUM VITAE Veronique Hoste
