Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
TnT: a statistical part-of-speech tagger
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Learning subjective nouns using extraction pattern bootstrapping
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in 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
A cascade method for detecting hedges and their scope in natural language text
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
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
A high-precision approach to detecting hedges and their scopes
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Uncertainty detection as approximate max-margin sequence labelling
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 multi-features to detect hedges and their scope in biomedical texts
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
A Lucene and maximum entropy model based hedge detection system
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
Uncertainty learning using SVMs and CRFs
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
Hedge classification with syntactic dependency features based on an ensemble classifier
CoNLL '10: Shared Task Proceedings of the Fourteenth Conference on Computational Natural Language Learning --- Shared Task
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Learning local content shift detectors from document-level information
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Modality and negation: An introduction to the special issue
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
How do negation and modality impact on opinions?
ExProM '12 Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics
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We investigate the automatic detection of sentences containing linguistic hedges using corpus statistics and syntactic patterns. We take Wikipedia as an already annotated corpus using its tagged weasel words which mark sentences and phrases as non-factual. We evaluate the quality of Wikipedia as training data for hedge detection, as well as shallow linguistic features.