The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
A metalearning approach to processing the scope of negation
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
Learning the scope of negation in biomedical texts
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Inferring the scope of negation in biomedical documents
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
*SEM 2012 shared task: resolving the scope and focus of negation
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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UCM-2 infers the words that are affected by negations by browsing dependency syntactic structures. It first makes use of an algorithm that detects negation cues, like no, not or nothing, and the words affected by them by traversing Minipar dependency structures. Second, the scope of these negation cues is computed by using a post-processing rule-based approach that takes into account the information provided by the first algorithm and simple linguistic clause boundaries. An initial version of the system was developed to handle the annotations of the Bioscope corpus. For the present version, we have changed, omitted or extended the rules and the lexicon of cues (allowing prefix and suffix negation cues, such as impossible or meaningless), to make it suitable for the present task.