Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A factuality profiler for eventualities in text
A factuality profiler for eventualities in text
Overview of BioNLP'09 shared task on event extraction
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Syntactic dependency based heuristics for biological event extraction
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing: Shared Task
Learning the scope of hedge cues in biomedical texts
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Detecting speculations and their scopes in scientific text
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
The CoNLL-2010 shared task: learning to detect hedges and their scope in natural language text
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
The CoNLL-2010 shared task: learning to detect hedges and their scope in natural language text
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Automatic extraction of lexico-syntactic patterns for detection of negation and speculation scopes
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Speculation and negation: Rules, rankers, and the role of syntax
Computational Linguistics
Improving speculative language detection using linguistic knowledge
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
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We extend our prior work on speculative sentence recognition and speculation scope detection in biomedical text to the CoNLL-2010 Shared Task on Hedge Detection. In our participation, we sought to assess the extensibility and portability of our prior work, which relies on linguistic categorization and weighting of hedging cues and on syntactic patterns in which these cues play a role. For Task 1B, we tuned our categorization and weighting scheme to recognize hedging in biological text. By accommodating a small number of vagueness quantifiers, we were able to extend our methodology to detecting vague sentences in Wikipedia articles. We exploited constituent parse trees in addition to syntactic dependency relations in resolving hedging scope. Our results are competitive with those of closed-domain trained systems and demonstrate that our high-precision oriented methodology is extensible and portable.