W. Daelemans

Details der Publikationsliste

Zeitraum

1996 - 2009

Anzahl

149

Co-Autoren

Prototype-based active learning for lemmatization (2009)

Daelemans, W, Groenewald, HJ, Van Huyssteen, GB

This is the author's version of the work. The definitive version was published in the Proceedings of the RANLP'2009 International Conference Recent Advances in Natural Language Processing. Borovets,...

Establishing Priorities in the Development of HLT Resources: The Dutch-Flemish Experience (2008)

W. Daelemans, D. Binnenpoorte, F. De Vriend, J. Sturm, H. Strik, C. Cucchiarini

In this paper, we describe a survey of Dutch language resources that has been carried out within the framework of a project launched by the Dutch Language Union (Nederlandse Taalunie) with the aim of...

Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis (2008)

Blaschko, M.B., Lampert, C.H., Gretton, A., Daelemans, W., Goethals, B., Morik, K.

Kernel canonical correlation analysis (KCCA) is a dimensionality reduction technique for paired data. By finding directions that maximize correlation, KCCA learns representations that are more...

Distribution-free Learning of Bayesian Network Structure (2008)

Sun, X., Daelemans, W., Goethals, B., Morik, K.

We present an independence-based method for learning Bayesian network (BN) structure without making any assumptions on the probability distribution of the domain. This is mainly useful for continuous...

Assessing Nonlinear Granger Causality from Multivariate Time Series (2008)

Sun, X., Daelemans, W., Goethals, B., Morik, K.

A straightforward nonlinear extension of Granger’s concept of causality in the kernel framework is suggested. The kernel-based approach to assessing nonlinear Granger causality in multivariate time...

11LK Computational Linguistics (2007)

S. Buchholz, W. Daelemans

24 August 2001) We investigate the problem of complex answers in question answering. Complex answers consist of several simple answers. We describe the online question answering system SHAPAQA, and...

A Field Survey for Establishing Priorities in the Development of HLT Resources (2007)

For Dutch, D. Binnenpoorte, F. De Vriend, J. Sturm, W. Daelemans, H. Strik, ...

In this paper we describe a survey of Dutch language resources that has been carried out within the framework of a project launched by the Dutch Language Union (Nederlandse Taalunie) with the aim of...

A Field Survey for Establishing Priorities in the Development of HLT Resources for (2007)

D. Binnenpoorte, F. De Vriend, J. Sturm, W. Daelemans, H. Strik, C. Cucchiarini

In this paper we describe a survey of Dutch language resources that has been carried out within the framework of a project launched by the Dutch Language Union (Nederlandse Taalunie) with the aim of...

A Field Survey for Establishing Priorities in the Development of HLT Resources for (2007)

D. Binnenpoorte, F. De Vriend, J. Sturm, W. Daelemans, H. Strik, C. Cucchiarini

In this paper we describe a survey of Dutch language resources that has been carried out within the framework of a project launched by the Dutch Language Union (Nederlandse Taalunie) with the aim of...

Discrete versus Probabilistic Sequence Classifiers for Domain-specific Entity Chunking (2006)

Canisius, S.V.M., Bosch, A. Van Den, Daelemans, W.

We present a comparative case study of discrete and probabilistic sequence classification methods applied to two real-world entity chunking tasks in the medical domain. It is shown that a discrete...

Constraint Satisfaction Inference: Non-probabilistic Global Inference for Sequence Labelling (2006)

Canisius, S.V.M., Bosch, A. Van Den, Daelemans, W.

We present a new method for performing sequence labelling based on the idea of using a machine-learning classifier to generate several possible output sequences, and then applying an inference...

Improving sequence segmentation learning by predicting trigrams (2005)

Bosch, A. Van Den, Daelemans, W.

Symbolic machine-learning classifiers are known to suffer from near-sightedness when performing sequence segmentation (chunking) tasks in natural language processing: without special architectural...

Rule meta-learning for trigram-based sequence processing (2005)

Canisius, S.V.M., Bosch, A. Van Den, Daelemans, W.

Predicting overlapping trigrams of class labels is a recently-proposed method to improve performance on sequence labelling tasks. In this method, sequence elements are effectively classified three...

Reduction of Dutch Sentences for Automatic Subtitling (2004)

Tjong Kim Sang, E.F., Daelemans, W., Hothker, A.

We compare machine learning approaches for sentence length reduction for automatic generation of subtitles for deaf and hearing-impaired people with a method which relies on hand-crafted deletion...

Complex Answers: A Case Study using a WWW Question Answering System (2002)

Buchholz, S., Daelemans, W.

We investigate the problem of complex answers in question answering. Complex answers consist of several simple answers. We describe the online question answering system shapaqa, and using data from...

Dutch HLT Resources: From BLARK to Priority lists (2002)

H. Strik, W. Daelemans, D. Binnenpoorte, J. Sturm, F. De Vriend, C. Cucchiarini

In this paper we report on a project about Dutch Human Language Technologies (HLT) resources. In this project we first defined a so-called BLARK (Basic LAnguage Resources Kit). Subsequently, a survey...

SHAPAQA: Shallow Parsing for Question Answering on the World Wide Web (2001)

Buchholz, S., Daelemans, W.

We introduce shapaqa, a shallow parsing approach to online, open-domain question answering on the WorldWideWeb. Given a form-based natural language question as input, the system uses a memory-based...

Complex Answers: A Case Study Using a WWW Question Answering System (2001)

S. Buchholz, W. Daelemans

We investigate the problem of complex answers in question answering. Complex answers consist of several simple answers. We describe the online question answering system shapaqa, and using data from...

Complex Answers: A Case Study Using a WWW Question Answering System (2001)

S. Buchholz, W. Daelemans

We investigate the problem of complex answers in question answering. Complex answers consist of several simple answers. We describe the online question answering system shapaqa, and using data from...

Memory-Based Language Processing. Introduction to the . . . (1999)

W. Daelemans

Memory-Based Language Processing (MBLP) views language processing as being based on the direct reuse of previous experience rather than on the use of rules or other structures extracted from that...