Automatic labeling of semantic roles
Computational Linguistics
A metalearning approach to processing the scope of negation
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
Practical very large scale CRFs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Speculation and negation: Rules, rankers, and the role of syntax
Computational Linguistics
UiO1: constituent-based discriminative ranking for negation resolution
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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This paper describes the second of two systems submitted from the University of Oslo (UiO) to the 2012 *SEM Shared Task on resolving negation. The system combines SVM cue classification with CRF sequence labeling of events and scopes. Models for scopes and events are created using lexical and syntactic features, together with a fine-grained set of labels that capture the scopal behavior of certain tokens. Following labeling, negated tokens are assigned to their respective cues using simple post-processing heuristics. The system was ranked first in the open track and third in the closed track, and was one of the top performers in the scope resolution sub-task overall.