A Survey of Text Representation Methods and Their Genealogy-Reference-Cited by-同舟云学术

A Survey of Text Representation Methods and Their Genealogy

Published:2022 Issue: Volume:10 Page:96492-96513
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Siebers Philipp¹,Janiesch Christian²^ORCID,Zschech Patrick³^ORCID

Affiliation:

1. Faculty of Business and Economics, Technische Universität Dresden, Dresden, Germany

2. Department of Computer Science, TU Dortmund University, Dortmund, Germany

3. School of Business, Economics and Society, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

Funder

Federal Ministry of Education and Research (BMBF) within the Project “White-Box-AI”

Project Management Agency Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), DLR-Projektträger

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09885209.pdf?arnumber=9885209

Reference89 articles.

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2. Reformer: The efficient transformer;kitaev;arXiv 2001 04451,2020

3. BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension;lewis;arXiv 1910 13461,2019

4. ByT5: Towards a token-free future with pre-trained byte-to-byte models;xue;CoRR,2021

5. Funnel-transformer: Filtering out sequential redundancy for efficient language processing;dai;Advances in neural information processing systems,2020

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