A custom state LSTM cell for text classification tasks

Haralabopoulos, Giannis; Anagnostopoulos, Ioannis

Download

[thumbnail of Custom_State_LSTM_Cell_for_Text_Classification_Tasks(1).pdf]

Text
- Accepted Version
· Restricted to Repository staff only
· The Copyright of this document has not been checked yet. This may affect its availability.

Advice

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Tools

Lists

Haralabopoulos, G. ORCID: https://orcid.org/0000-0002-2142-4975 and Anagnostopoulos, I. (2022) A custom state LSTM cell for text classification tasks. In: Iliadis, L., Jayne, C., Tefas, A. and Pimenidis, E. (eds.) Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science (1600). Springer, pp. 489-504. ISBN 9783031082221 doi: 10.1007/978-3-031-08223-8_40

Altmetric Badge

Item Type	Book or Report Section
URI	https://centaur.reading.ac.uk/id/eprint/110967
Identification Number/DOI	10.1007/978-3-031-08223-8_40
Refereed	Yes
Divisions	Henley Business School > Digitalisation, Marketing and Entrepreneurship
Publisher	Springer
Download/View statistics	View download statistics for this item