5: Corpus visualization aids. Token-per-token visualization Figure 4.6: Corpus visualization aids. Original XML structure References All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning, BMC bioinformatics, vol.4, issue.9 11, 2008. ,
Text mining and its potential applications in systems biology, Trends in Biotechnology, vol.24, issue.12, pp.571-579, 2006. ,
DOI : 10.1016/j.tibtech.2006.10.002
A modality lexicon and its use in automatic tagging, Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10), pp.1402-1407, 2010. ,
A simple rule-based part of speech tagger, Proceedings of the third conference on Applied natural language processing, pp.152-155, 1992. ,
CoNLL-X shared task on multilingual dependency parsing, Proceedings of the Tenth Conference on Computational Natural Language Learning, CoNLL-X '06, pp.149-164, 2006. ,
DOI : 10.3115/1596276.1596305
The Sociocultural Dimension: The Dilemma of the German-speaking Scholar, pp.49-67, 1991. ,
DOI : 10.1515/9783110858747.49
A relational model of data for large shared data banks, Communications of the ACM, vol.13, issue.6, pp.377-387, 1970. ,
DOI : 10.1145/362384.362685
An Introduction to Support Vector Machines and Other Kernelbased Learning Methods, 2000. ,
Hedging in academic writing: Some theoretical problems. English for Specific Purposes, pp.271-287, 1997. ,
Log-linear models and conditional random fields. Notes for the course CSE 250B: Principles of Artificial Intelligence: Learning, p.77, 2013. ,
A contrastive study of hedging in english and farsi academic discourse, 2004. ,
The CoNLL-2010 shared task: Learning to detect hedges and their scope in natural language text, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.1-12, 2010. ,
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, Computational learning theory, pp.23-37, 1995. ,
DOI : 10.1006/jcss.1997.1504
Doubt and certainty in ESL textbooks Applied Linguistics, p.26, 1988. ,
The Cambridge Grammar of the English Language, Zeitschrift f??r Anglistik und Amerikanistik, vol.53, issue.2, p.25, 2002. ,
DOI : 10.1515/zaa-2005-0209
Hedging in academic writing and EAF textbooks. English for Specific Purposes, pp.239-256, 1994. ,
The author in the text: Hedging scientific writing Hongkong Papers in Linguistics and Language Teaching, pp.33-42, 1995. ,
Talking to the Academy: Forms of Hedging in Science Research Articles, Written Communication, vol.13, issue.2, pp.251-281, 1996. ,
DOI : 10.1177/0741088396013002004
Hedging in Scientific Research Articles. Pragmatics & beyond, 1998. ,
Detecting hedge cues and their scopes with average perceptron, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.32-39, 2010. ,
Recognizing speculative language in biomedical research articles, Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, BioNLP '08, pp.46-53, 2008. ,
DOI : 10.3115/1572306.1572315
A high-precision approach to detecting hedges and their scopes, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.70-77, 2010. ,
Genia corpus?semantically annotated corpus for biotextmining, Bioinformatics, vol.19, issue.30, p.41, 2003. ,
Corpus annotation for mining biomedical events from literature, BMC Bioinformatics, vol.9, issue.1, p.10, 2008. ,
DOI : 10.1186/1471-2105-9-10
Accurate unlexicalized parsing, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics , ACL '03, pp.423-430, 2003. ,
DOI : 10.3115/1075096.1075150
The notional category of Modality, Formal Semantics, pp.289-323, 1981. ,
Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data, Proc. 18th International Conf. on Machine Learning, pp.282-289, 2001. ,
Hedges: A study in meaning criteria and the logic of fuzzy concepts, Journal of Philosophical Logic, vol.2, issue.4, pp.458-508, 1973. ,
Exploiting rich features for detecting hedges and their scope, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.78-83, 2010. ,
Writing about knowing in science: aspects of hedging in french scientific writing. LSP and professional communication, pp.8-26, 2005. ,
The language of bioscience: Facts, speculations, and statements in between, Linking Biological Literature, Ontologies and Databases, pp.17-24, 2004. ,
Maximum entropy markov models for information extraction and segmentation, Proceeding 17th International Conference on Machine Learning, p.47, 2000. ,
Lexical methods for managing variation in biomedical terminologies, Proceedings of the Annual Symposium on Computer Applications in Medical Care, pp.235-239, 1994. ,
Exploring hedge identification in biomedical literature, Journal of Biomedical Informatics, vol.41, issue.4, pp.636-654, 2008. ,
DOI : 10.1016/j.jbi.2008.01.001
Investigating classification for natural language processing tasks, 2008. ,
Weakly supervised learning for hedge classification in scientific literature, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, pp.31-35, 2007. ,
WordNet: A lexical database for english, Communications of the ACM, pp.39-41, 1995. ,
Learning the scope of hedge cues in biomedical texts, Proceedings of the Workshop on BioNLP, BioNLP '09, pp.28-36, 2009. ,
DOI : 10.3115/1572364.1572369
Modality and Negation: An Introduction to the Special Issue, Computational Linguistics, vol.20, issue.2, pp.1-72, 1924. ,
DOI : 10.1111/j.1467-8640.2006.00275.x
Learning the scope of negation in biomedical texts, Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pp.715-724, 2008. ,
DOI : 10.3115/1613715.1613805
Memory-based resolution of in-sentence scopes of hedge cues, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.40-47, 2010. ,
Syntactic scope resolution in uncertainty analysis, Proceedings of the 23rd International Conference on Computational Linguistics, COLING '10, pp.1379-1387, 2010. ,
Detecting speculations and their scopes in scientific text, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp.1398-1407, 2009. ,
Mood and Modality. Cambridge Textbooks in Linguistics, p.24, 2001. ,
Expression of modality in biomedical texts, SKASE Journal of Translation and Interpretation, pp.81-90, 2008. ,
A shared task involving multi-label classification of clinical free text, Proceedings of the Workshop on BioNLP 2007 Biological, Translational, and Clinical Language Processing, BioNLP '07, pp.97-104, 2007. ,
DOI : 10.3115/1572392.1572411
On hedging in physician-physician discourse, Ablex, issue.10, 1982. ,
Lexical adaptation of link grammar to the biomedical sublanguage: a comparative evaluation of three approaches, BMC Bioinformatics, vol.7, issue.Suppl 3, p.2, 2006. ,
DOI : 10.1186/1471-2105-7-S3-S2
URL : https://hal.archives-ouvertes.fr/hal-00082533
Comparative analysis of five protein-protein interaction corpora, BMC Bioinformatics, vol.9, issue.Suppl 3, p.6, 2008. ,
DOI : 10.1186/1471-2105-9-S3-S6
A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, vol.77, issue.2, pp.257-286 ,
DOI : 10.1109/5.18626
Combining manual rules and supervised learning for hedge cue and scope detection, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.56-63, 2010. ,
Identificación de opiniones de diferentes fuentes en textos en español, p.56, 2011. ,
The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.89-114, 1958. ,
DOI : 10.1037/h0042519
Part-of-speech tagging guidelines for the Penn Treebank Project, p.69, 1990. ,
Slinket: A partial modal parser for events, Language Resources and Evaluation Conference, LREC, p.27, 2006. ,
Biomedical named entity recognition using conditional random fields and rich feature sets, Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications, JNLPBA '04, pp.104-107, 2004. ,
DOI : 10.3115/1567594.1567618
Active Learning Literature Survey, p.49, 2009. ,
Shallow parsing with conditional random fields, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology , NAACL '03, pp.134-141, 2003. ,
DOI : 10.3115/1073445.1073473
URL : http://acl.ldc.upenn.edu/N/N03/N03-1028.pdf
Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users, Bioinformatics, vol.24, issue.18, pp.2086-2093, 1460. ,
DOI : 10.1093/bioinformatics/btn381
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies, Proceedings of the Twelfth Conference on Computational Natural Language Learning, CoNLL '08, pp.159-177, 2008. ,
DOI : 10.3115/1596324.1596352
Hedge classification in biomedical texts with a weakly supervised selection of keywords, ACL 08: HLT, pp.35-40, 2008. ,
A cascade method for detecting hedges and their scope in natural language text, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.13-17, 2010. ,
Categorising modality in biomedical texts, Proceedings of the LREC 2008 Workshop on Building and Evaluating Resources for Biomedical Text Mining, pp.27-34, 2008. ,
Developing a Robust Part-of-Speech Tagger for Biomedical Text, Panhellenic Conference on Informatics, pp.382-392, 2005. ,
DOI : 10.1007/11573036_36
Resolving speculation: MaxEnt cue classification and dependency-based scope rules, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.48-55, 2010. ,
Speculation and Negation: Rules, Rankers, and the Role of Syntax, Computational Linguistics, vol.9, issue.11, pp.1-64, 1943. ,
DOI : 10.3115/1687878.1687932
The BioScope corpus: biomedical texts annotated for uncertainty, negation and their scopes, BMC Bioinformatics, vol.9, issue.Suppl 11, pp.9-27, 2008. ,
DOI : 10.1186/1471-2105-9-S11-S9
Detecting speculative language using syntactic dependencies and logistic regression, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.18-25, 2010. ,
Modality and Language, p.23, 2006. ,
All of Statistics: A Concise Course in Statistical Inference, 2003. ,
DOI : 10.1007/978-0-387-21736-9
New directions in biomedical text annotation: definitions, guidelines and corpus construction, BMC Bioinformatics, vol.7, issue.1, p.356, 2006. ,
DOI : 10.1186/1471-2105-7-356
Data mining, ACM SIGMOD Record, vol.31, issue.1, p.62, 2005. ,
DOI : 10.1145/507338.507355
Hedge detection and scope finding by sequence labeling with procedural feature selection, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.92-99, 2010. ,
Exploiting multi-features to detect hedges and their scope in biomedical texts, Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp.106-113, 2010. ,