BRNIR at the NTCIR-14 Finnum Task : Scalable Feature Extraction Technique for Number Classification

The following paper describes the effort and results in NTCIR14 FinNum Task, approaches and results in both subtasks of FinNum. In the task, the team focuses on feature extraction and experiments on the concatenation of various features, and on insights derived from an unsupervised approach to construct and extend data available for analysis. Feature extraction steps are designed for parallel execution thus proposed technics meant for use at scale

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Year of publication:	2022
Authors:	Spark, Alan
Publisher:	[S.l.] : SSRN

Extent:	1 Online-Ressource (15 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: NTCIR-14 Conference: Proceedings of the 14th NTCIR Conference on Evaluation of Information Access Technologies, June 10-13, 2019 Tokyo Japan Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 10, 2019 erstellt
Classification:	G12 - Asset Pricing ; C88 - Other Computer Software ; C45 - Neural Networks and Related Topics
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014030667