A Multi-Dimensional Semantic Pseudo-Relevance Feedback Information Retrieval Model
Author:
Affiliation:
1. Hubei Normal University,College of Computer and Information Engineering,Huangshi,China
2. York University,The School of Information Technology,Toronto,Canada
Funder
National Natural Science Foundation of China
China Scholarship Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10101871/10101874/10102068.pdf?arnumber=10102068
Reference35 articles.
1. Bert: Pre-training of deep bidirectional transformers for language understanding;devlin,2018
2. Local Self-Attention over Long Text for Efficient Document Retrieval
3. Language models are few-shot learners;brown;Advances in neural information processing systems,2020
4. Text Matching as Image Recognition
5. Language models are unsupervised multitask learners;radford;OpenAIRE blog,2019
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