Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples-Reference-Cited by-同舟云学术

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Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples

Published:2023 Issue: Volume: Page:1-12
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Zhao Bo¹^ORCID,Bai Jun¹^ORCID,Li Chen¹,Zhang Jianfei¹,Rong Wenge¹^ORCID,Ouyang Yuanxin¹,Xiong Zhang²

Affiliation:

1. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China

2. School of Information Technology & Management, University of International Business and Economics, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/10082873.pdf?arnumber=10082873

Reference46 articles.

1. SQuAD: 100,000+ Questions for Machine Comprehension of Text

2. Learning Dense Representations for Entity Retrieval

3. Explaining and harnessing adversarial examples;goodfellow;Proc 3rd Int Conf Learn Representations,2015

4. Pre-training tasks for embedding-based large-scale retrieval;chang;Proc 8th Int Conf Learn Representations,2020

5. An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition

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