A New Framework for Personal Name Disambiguation
- Submitting institution
-
Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 16733522
- Type
- E - Conference contribution
- DOI
-
10.1007/978-3-030-01174-1_76
- Title of conference / published proceedings
- Intelligent Computing : SAI 2018
- First page
- 995
- Volume
- 858
- Issue
- -
- ISSN
- 2194-5357
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is a contribution to the area of personal name disambiguation, and addresses the ongoing problem of the correctness of personally identifiable data. The research resulted in two invited keynotes (ISCAS 2016; ICENTE 2017), and a follow-up PhD project. The results surpassed leading purpose build industrial applications in accuracy and were commended by the LREC 2018 evaluation committee. Since this publication, the work has attracted collaboration with a French start-up (VALRAISO, 2020) which is using the approach to simulate disambiguation in Alpine Ski resort bookings.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
