Rolaquad: Robust language understanding for question - answering dialogues.

Canisius, S.V.M. (Researcher)
Daelemans, W.M.P. (Principal Investigator)
Lendvai, P.K. (Researcher)
van den Bosch, Antal (Coach)

Project: Research project

Status	Finished
Effective start/end date	1/01/04 → 1/01/08

Constraint Satisfaction Inference: Non-probabilistic Global Inference for Sequence Labelling
Canisius, S. V. M., van den Bosch, A. & Daelemans, W., 2006, Proceedings of the EACL 2006 Workshop on Learning Structured Information in Natural Language Applications. Basili, R. & Moschitti, A. (eds.). Trento, Italy: ACL, p. 9-16 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

File
87 Downloads (Pure)
Dependency Parsing by Inference over High-recall Dependency Predictions
Canisius, S. V. M., Bogers, A. M., van den Bosch, A., Geertzen, J. & Tjong Kim Sang, E. F., 2006, Proceedings of the 10th Conference on Computational Natural Language Learning, CONLL-X. New York: ACL, p. 176-180 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

File

14 Link opens in a new tab Citations (Scopus)

210 Downloads (Pure)
Discrete versus Probabilistic Sequence Classifiers for Domain-specific Entity Chunking
Canisius, S. V. M., van den Bosch, A. & Daelemans, W., 2006, Proceedings of the Eighteenth Belgium-Netherlands Conference on Artificial Intelligence, BNAIC-2006. Schobbens, P.-Y., Vanhof, W. & Schwanen, G. (eds.). Namur, Belgium: Belgisch Nederlandse Ver. voor Kunstmatige Intelligentie, p. 75-82 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

File
2 Link opens in a new tab Citations (Scopus)

99 Downloads (Pure)

Rolaquad: Robust language understanding for question - answering dialogues.

Project Details

Fingerprint

Constraint Satisfaction Inference: Non-probabilistic Global Inference for Sequence Labelling

Dependency Parsing by Inference over High-recall Dependency Predictions

Discrete versus Probabilistic Sequence Classifiers for Domain-specific Entity Chunking

Rolaquad: Robust language understanding for question - answering dialogues.

Project Details

Fingerprint

Research output

Constraint Satisfaction Inference: Non-probabilistic Global Inference for Sequence Labelling

Dependency Parsing by Inference over High-recall Dependency Predictions

Discrete versus Probabilistic Sequence Classifiers for Domain-specific Entity Chunking