Open AccessProceedings Article
Overview of BioNLP Shared Task 2013
Claire Nédellec,Robert Bossy,Jin-Dong Kim,Jung-Jae Kim,Tomoko Ohta,Sampo Pyysalo,Pierre Zweigenbaum +6 more
- pp 1-7
TLDR
The BioNLP Shared Task 2013 shows advances in the state of the art and demonstrates that extraction methods can be successfully generalized in various aspects.Citations
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Biomedical Event Trigger Identification Using Bidirectional Recurrent Neural Network Based Models
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Linking entities through an ontology using word embeddings and syntactic re-ranking
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References
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Proceedings ArticleDOI
Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking
Eugene Charniak,Mark Johnson +1 more
TL;DR: This paper describes a simple yet novel method for constructing sets of 50- best parses based on a coarse-to-fine generative parser that generates 50-best lists that are of substantially higher quality than previously obtainable.
Proceedings ArticleDOI
Overview of BioNLP'09 Shared Task on Event Extraction
TL;DR: The design and implementation of the BioNLP'09 Shared Task is presented, indicating that state-of-the-art performance is approaching a practically applicable level and revealing some remaining challenges.
Performance measures for information extraction
TL;DR: An error measure is defined, the slot error rate, which combines the different types of error directly, without having to resort to precision and recall as preliminary measures.
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PANTHER Pathway: An Ontology-Based Pathway Database Coupled with Data Analysis Tools
Huaiyu Mi,Paul Thomas +1 more
TL;DR: This chapter first discusses how biological knowledge is represented, particularly the importance of ontologies or standards in systems biology research, and uses PANTHER Pathway as an example to illustrate how ontologies and standards play a role in data modeling, data entry, and data display.
Journal ArticleDOI
Evaluating temporal relations in clinical text: 2012 i2b2 Challenge.
TL;DR: A corpus of discharge summaries annotated with temporal information was provided to be used for the development and evaluation of temporal reasoning systems, and the best systems overwhelmingly adopted a rule based approach for value normalization.