Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Verbnet: a broad-coverage, comprehensive verb lexicon
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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
Using hedges to enhance a disease outbreak report text mining system
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Automatic annotation of speculation in biomedical texts: new perspectives and large-scale evaluation
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Exploring surface-level heuristics for negation and speculation discovery in clinical texts
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
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
Detecting speculative language using syntactic dependencies and logistic regression
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
A hedgehop over a max-margin framework using hedge cues
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
HedgeHunter: a system for hedge detection and uncertainty classification
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Syntactic scope resolution in uncertainty analysis
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
BioExcom: detection and categorization of speculative sentences in biomedical literature
LTC'09 Proceedings of the 4th conference on Human language technology: challenges for computer science and linguistics
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
Are you sure that this happened? assessing the factuality degree of events in text
Computational Linguistics
Cross-genre and cross-domain detection of semantic uncertainty
Computational Linguistics
Kernel-Based logical and relational learning with klog for hedge cue detection
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
A three-way perspective on scientific discourse annotation for knowledge extraction
ACL '12 Proceedings of the Workshop on Detecting Structure in Scholarly Discourse
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We explore a linguistically motivated approach to the problem of recognizing speculative language ("hedging") in biomedical research articles. We describe a method, which draws on prior linguistic work as well as existing lexical resources and extends them by introducing syntactic patterns and a simple weighting scheme to estimate the speculation level of the sentences. We show that speculative language can be recognized successfully with such an approach, discuss some shortcomings of the method and point out future research possibilities.