Isabel Segura-Bedmar
International Workshop on Semantic Evaluation · 2013–2015
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Isabel Segura-Bedmar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Claudio Giuliano
- Alan R. Aronson
- David S. Wishart
- Antti Airola
- Alberto Lavelli
- Craig Knox
- Sampo Pyysalo
- E. Tjong Kim Sang
Who trusts Isabel Segura-Bedmar overall
- Masaki Asada
- Yuan Luo
- Vikas Yadav
- Mengying Sun
- Makoto Miwa
- Ozlem Uzuner
- Steven Bethard
- Yutaka Sasaki
- Peter Szolovits
- Sendong Zhao
Papers from Isabel Segura-Bedmar's perspective
Ordered by how strongly the researchers Isabel Segura-Bedmar trusts endorse each paper. Same corpus, a different order for every researcher.
- DrugBank: a comprehensive resource for in silico drug discovery and exploration
- ChEBI: a database and ontology for chemical entities of biological interest
- All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning (BMC Bioinformatics)
- A Coefficient of Agreement for Nominal Scales
- GENIA corpus - a semantically annotated corpus for bio-textmining
- Overview of BioCreative II gene mention recognition
- Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
- Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature (Conference of the European Chapter of the Association for Computational Linguistics)
- BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (Pacific Symposium on Biocomputing)
- A survey of named entity recognition and classification
Their papers
- The CHEMDNER corpus of chemicals and drugs and its annotation principles (2015) — 444 citations
- The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions (2013) — 463 citations
- SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013) (2013) — 478 citations