Objectives

The objective of the project is to develop a workbench for analysing (primarily annotating) textual data that meets the following requirements:

• ease of combining elementary text-processing components to form meaningful and comprehensive processing workflows
• ability to manually intervene in the otherwise automatic process of annotation by correcting or creating new annotations
• easy access by providing a web-based interface
• user collaboration by providing sharing capabilities for user-owned resources

Argo is being developed by The National Centre for Text Mining at The University of Manchester.

Target Audience

Argo benefits the following groups of users:

• Text-analysis designers by providing an integrated environment for the development of processing workflows.
• Annotators/Curators by providing manual annotation functionalities supported by automatic pre-processing and post-processing.
• Developers by providing a workbench for testing and evaluating text analytics.

Status

The system is currently in version beta. New features are added about once a month.

Publications

The following references are in reverse chronological order. If you would like to cite Argo in general, please use the highlighted reference at the bottom.

• Rak, R., Carter, J., Rowley, A., Batista-Navarro, R. T. B. and Ananiadou, S. (2014). Interoperability and Customisation of Annotation Schemata in Argo. In: Proceedings of the 9th Conference on Language Resources and Evaluation, Reykjavik, Iceland
• Rak, R., Batista-Navarro, R. T. B., Rowley, A., Carter, J. and Ananiadou, S. (2013). Customisable Curation Workflows in Argo. In: Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, pp. 270-278
• Rak, R., Batista-Navarro, R. T. B., Rowley, A., Miwa, M., Carter, J. and Ananiadou, S. (2013). NaCTeM’s BioC Modules and Resources for BioCreative IV. In: Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, pp. 61-67
• Batista-Navarro, R. T. B., Rak, R. and Ananiadou, S. (2013). Chemistry-specific Features and Heuristics for Developing a CRF-based Chemical Named Entity Recogniser. In: Fourth BioCreative Challenge Evaluation Workshop, Bethesda, Maryland, USA, pp. 55-59
• Rak, R. and Ananiadou, S. (2013). Making UIMA Truly Interoperable with SPARQL. In: Proceedings of the 7th Linguistic Annotation Workshop & Interoperability with Discourse
• Rak, R., Rowley, A., Carter, J. and Ananiadou, S. (2013). Development and Analysis of NLP Pipelines in Argo. In: Proceedings of the System Demonstration Session at The 51st Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics
• Rak, R., Kolluru, B. and Ananiadou, S. (2012). Building trainable taggers in a web-based, UIMA-supported NLP workbench. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012), pp. 121-126
• Rak, R., Rowley, A. and Ananiadou, S. (2012). Collaborative Development and Evaluation of Text-processing Workflows in a UIMA-supported Web-based Workbench. In: Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC 2012), pp. 2971-2976
• Rak, R., Rowley, A., Black, W.J. and Ananiadou, S. (2012). Argo: an integrative, interactive, text mining-based workbench supporting curation. In: Database: The Journal of Biological Databases and Curation

People

• Primary Investigator: Prof. Sophia Ananiadou
• Researchers: Dr. Rafal Rak
• Development: Dr. Rafal Rak, Jacob Carter, Dr. Andrew Rowley (former)

Contact

Contact Rafal Rak if you have any questions, suggestions or comments.