MyMiner: a web application for computer-assisted biocuration and text annotation

By David Salgado, Martin Krallinger, Marc Depaule, Elodie Drula, Ashish V. Tendulkar, F. Leitner, Alfonso Valencia, C. Marcelle. 2012

50 citations recorded by the source corpus.

Subfields: Biophysics, Molecular Biology, Information Extraction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biophysics

1. Tsendsuren Munkhdalai
2. Colin Raffel
3. Alexander M. Rush
4. Zhiqing Sun

In Molecular Biology

1. Zhiyong Lu
2. Robert Leaman
3. Leon Weber
4. Martin Krallinger
5. Tolga Can
6. Karin M. Verspoor
7. Alfonso Valencia
8. Donghong Ji

In Information Extraction

1. Robert Leaman
2. Zhiyong Lu
3. Karin M. Verspoor
4. Alfonso Valencia
5. Donghong Ji
6. Colin Raffel
7. Alexander M. Rush
8. Buzhou Tang

Citations in the corpus

• PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022, background): “Since then, many Web-based systems for annotating text have been developed (Stenetorp et al., 2012; Salgado et al., 2012; Wei et al., 2013; Yimam et al., 2013; Chen and Styler, 2013; Eckart de Castilho et al., 2016; Putra et al., 2020).”
• The CHEMDNER corpus of chemicals and drugs and its annotation principles (2015, methodology): “We initially experimented with a pre-tagging strategy using a specially adapted version of the MyMiner system [42] that included the option of pre-tagging the text with Oscar4 and then manually correcting the labels.”