From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning-Reference-Cited by-同舟云学术

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From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning

Published:2023 Issue: Volume:11 Page:115951-115967
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zaikis Dimitrios¹^ORCID,Vlahavas Ioannis¹^ORCID

Affiliation:

1. School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

Funder

European Regional Development Fund and Greece

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/ielx7/6287639/10005208/10288436.pdf?arnumber=10288436

Reference44 articles.

1. What Does BERT Look at? An Analysis of BERT’s Attention

2. Multilingual Sentiment Analysis on Twitter Data Towards Enhanced Policy Making

3. BERT for Coreference Resolution: Baselines and Analysis

4. Multi-task learning with sentiment, emotion, and target detection to recognize hate speech and offensive language;miriam plaza-del-arco;arXiv 2109 10255,2021

5. Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

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