Incorporating knowledge into neural network for text representation
- Submitting institution
-
Edge Hill University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22434545
- Type
- D - Journal article
- DOI
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10.1016/j.eswa.2017.11.037
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 103
- Volume
- 96
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Technical exception
- Month of publication
- November
- Year of publication
- 2017
- 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
-
6
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The proposed text concept vector (TCV) method has attracted 23 citations since its publication in April 2018 and has been selected for comparative study in IEEE Access, 7(2019) 27983- 27992 and in a comparative survey, IEEE Access, 8(2020) 85616- 85638 that concluded “TCV model obtains a substantial improvement in classification accuracy compared with the more complex methods,” It has been further developed and applied at least 5 times for feature selection (BMC Bioinformatics (2019) 20:170), analysing forward-looking statements (Journal OF Business Analytics 1(2018) 54–70) and extracting aspect terms (ACM Transactions on Management Information Systems, 11(2020) Article 13) respectively.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
