Automatic Extraction of Biological Information from Scientific Text: Protein-Protein Interactions
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
A shallow parser based on closed-class words to capture relations in biomedical text
Journal of Biomedical Informatics
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Artificial Intelligence in Medicine
RelEx---Relation extraction using dependency parse trees
Bioinformatics
Negation of protein–protein interactions
Bioinformatics
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Postnominal prepositional phrase attachment in proteomics
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
A graph kernel for protein-protein interaction extraction
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Statistical anaphora resolution in biomedical texts
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Learning the scope of negation in biomedical texts
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Using SVMs with the command relation features to identify negated events in biomedical literature
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Two strong baselines for the BioNLP 2009 event extraction task
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
A comparative study of syntactic parsers for event extraction
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
Arguments of nominals in semantic interpretation of biomedical text
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
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
A parser-based approach to detecting modification of biomedical events
Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics
Overview of Genia event task in BioNLP Shared Task 2011
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Extracting biological events from text using simple syntactic patterns
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
From graphs to events: a subgraph matching approach for information extraction from biomedical text
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Adapting a general semantic interpretation approach to biological event extraction
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
Generalizing biomedical event extraction
BioNLP Shared Task '11 Proceedings of the BioNLP Shared Task 2011 Workshop
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
Enhancing search: events and their discourse context
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
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We explore a rule-based methodology for the BioNLP'09 Shared Task on Event Extraction, using dependency parsing as the underlying principle for extracting and characterizing events. We approach the speculation and negation detection task with the same principle. Evaluation results demonstrate the utility of this syntax-based approach and point out some shortcomings that need to be addressed in future work.