Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval-Reference-Cited by-同舟云学术

Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval

Published:2023-10-01 Issue:10 Volume:35 Page:9946-9958
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Huang Heyan¹^ORCID,Liu Xiao¹^ORCID,Shi Ge²^ORCID,Liu Qian³^ORCID

Affiliation:

1. School of Computer Science and Technology, Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications, and Key Laboratory of Intelligent Information Processing and Information Security, Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, China

2. Faculty of Information Technology, Beijing University of Technology, Beijing, China

3. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10251471/10100906.pdf?arnumber=10100906

Reference57 articles.

1. Entity, Relation, and Event Extraction with Contextualized Span Representations

2. Decoupled weight decay regularization;loshchilov;Proc 7th Int Conf Learn Representations,2019

3. Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation

4. Joint Entity and Event Extraction with Generative Adversarial Imitation Learning

5. Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding

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