Keywords:
Publications of Batista-Navarro, R. sorted by first author
A
| , , and , Using text mining techniques to extract phenotypic information from the PhenoCHF corpus (2015), in: BMC Medical Informatics and Decision Making, 15:Suppl. 2(S3) |
[DOI] [URL] |
B
| and , Adapting ChER for the recognition of chemical mentions in patents, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 149-153, 2015 |
[URL] |
| and , Augmenting the Medical Subject Headings vocabulary with semantically rich variants to improve disease mention normalisation, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 311-316, 2015 |
[URL] |
| and , Discovering Potential Drugs by Extracting Biological Activities of Natural Products, in: Proceedings of the Workshop on Mining the Pharmacogenomics Literature, Pacific Symopsium on Biocomputing, 2011 |
[URL] |
| and , Building a coreference-annotated corpus from the domain of biochemistry, in: Proceedings of BioNLP 2011, pages 83-91, 2011 |
[URL] |
| and , Adapting the Cluster Ranking Supervised Model to Resolve Coreferences in the Drug Literature, in: Proceedings of the Fourth International Symposium on Languages in Biology and Medicine (LBM 2011), 2011 |
| , and , Argo: Enabling the development of bespoke workflows and services for disease annotation (2016), in: Database: The Journal of Biological Databases and Curation, 2016 |
[DOI] [URL] |
| , and , Development of bespoke machine learning and biocuration workflows in a BioC-supporting text mining workbench, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 51-56, 2015 |
[URL] |
| , and , Semi-automatic curation of chronic obstructive pulmonary disease phenotypes using Argo, in: Proceedings of the Fifth BioCreative Challenge Evaluation Workshop, Seville, Spain, pages 403-408, 2015 |
[URL] |
| , , and , A Text Mining Framework for Accelerating the Semantic Curation of Literature, in: Proceedings of the 20th International Conference on Theory and Practice of Digital Libraries (TPDL 2016), pages 459-462, Springer, 2016 |
[URL] |
| , , , , , and , Enriching the legacy literature with OCR corrections and text-mined semantic metadata, in: Proceedings of the TDWG 2014 Annual Conference, 2014 |
[URL] |
| , , , , , , and , Facilitating the Analysis of Discourse Phenomena in an Interoperable NLP Platform, in: Computational Linguistics and Intelligent Text Processing, pages 559-571, Springer Berlin Heidelberg, 2013 |
[DOI] [URL] |
| , and , Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics (2015), in: Journal of Cheminformatics, 7:Suppl 1(S6) |
[DOI] [URL] |
| , and , Chemistry-specific Features and Heuristics for Developing a CRF-based Chemical Named Entity Recogniser, in: Proceedings of the Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, pages 55-59, 2013 |
[URL] |
| , and , NaCTeM CTD Web Services, in: Proceedings of the Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, pages 85-89, 2013 |
| , , and , Text Mining Workflows for Indexing Archives with Automatically Extracted Semantic Metadata, in: Proceedings of the 20th International Conference on Theory and Practice of Digital Libraries (TPDL 2016), pages 471–473, Springer, 2016 |
[URL] |
| , and , Construction of a biodiversity knowledge repository using a text mining-based framework, in: Proceedings of the 3rd Annual International Symposium on Information Management and Big Data (SIMBig 2016), pages 22-25, 2016 |
[URL] |
| , , and , A Text Mining-Based Framework for Constructing an RDF-Compliant Biodiversity Knowledge Repository, pages 30-42, Springer, Communications in Computer and Information Science, volume 656, 2017 |
[DOI] [URL] |
C
| , , , , , , , , , , , , , , , , and , BioC interoperability track overview (2014), in: Database: The Journal of Biological Databases and Curation, 2014 |
[DOI] [URL] |
E
| , and , Learning to recognise named entities in Tweets by exploiting weakly labelled data, in: Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT 2016), 2016 |
[URL] |