HiDE : a tool for unrestricted literature based discovery

Preiss, J ORCID: https://orcid.org/0000-0002-2158-5832 and Stevenson, M 2018, HiDE : a tool for unrestricted literature based discovery , in: 27th International Conference on Computational Linguistics (COLING 2018), 20-26 August 2018, Santa Fe, New-Mexico, USA.

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Abstract

As the quantity of publications increases daily, researchers are forced to narrow their attention to their own specialism and are therefore less likely to make new connections with other areas. Literature based discovery (LBD) supports the identification of such connections. A number of LBD tools are available, however, they often suffer from limitations such as constraining possible searches or not producing results in real-time.

We introduce HiDE (Hidden Discovery Explorer), an online knowledge browsing tool which allows fast access to hidden knowledge generated from all abstracts in Medline. HiDE is fast enough to allow users to explore the full range of hidden connections generated by an LBD system. The tool employs two novel approaches to LBD: a graph-based approach which allows hidden knowledge to be generated on a large scale and an inference algorithm to identify the most promising information.

Available at http://nlp.shef.ac.uk/hide

Item Type: Conference or Workshop Item (Other)
Additional Information: Proceedings ISBN: 978-1-948087-53-7
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Demo Proceedings, COLING 2018
Publisher: International Committee on Computational Linguistics (ICCL)
Depositing User: J Preiss
Date Deposited: 29 Nov 2018 13:56
Last Modified: 29 Nov 2018 15:03
URI: http://usir.salford.ac.uk/id/eprint/49085

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