EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
A shared task involving multi-label classification of clinical free text
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
Learning the scope of hedge cues in biomedical texts
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
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
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
A survey on the role of negation in sentiment analysis
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
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
Detecting hedge cues and their scopes with average perceptron
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Resolving speculation: MaxEnt cue classification and dependency-based scope rules
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Exploiting rich features for detecting hedges and their scope
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Hedge detection and scope finding by sequence labeling with normalized feature selection
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Exploiting CCG structures with tree kernels for speculation detection
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Learning the scope of negation via shallow semantic parsing
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Syntactic scope resolution in uncertainty analysis
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Detecting hedge cues and their scope in biomedical text with conditional random fields
Journal of Biomedical Informatics
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
Towards automatic thematic sheets based on discursive categories in biomedical literature
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
BioNLP Shared Task 2011: supporting resources
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
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
A machine-learning approach to negation and speculation detection in clinical texts
Journal of the American Society for Information Science and Technology
Did it happen? the pragmatic complexity of veridicality assessment
Computational Linguistics
Modality and negation in simt use of modality and negation in semantically-informed syntactic mt
Computational Linguistics
A hybrid approach to finding negated and uncertain expressions in biomedical documents
Proceedings of the 2nd international workshop on Managing interoperability and compleXity in health systems
Linking uncertainty in physicians' narratives to diagnostic correctness
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
Hi-index | 0.00 |
This article reports on a corpus annotation project that has produced a freely available resource for research on handling negation and uncertainty in biomedical texts (we call this corpus the BioScope corpus). The corpus consists of three parts, namely medical free texts, biological full papers and biological scientific abstracts. The dataset contains annotations at the token level for negative and speculative keywords and at the sentence level for their linguistic scope. The annotation process was carried out by two independent linguist annotators and a chief annotator -- also responsible for setting up the annotation guidelines -- who resolved cases where the annotators disagreed. We will report our statistics on corpus size, ambiguity levels and the consistency of annotations.