Peiqin Lin
Orcid: 0000-0003-2818-3008
According to our database1,
Peiqin Lin
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
CoRR, 2024
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
CoRR, 2023
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining.
CoRR, 2023
mPLM-Sim: Unveiling Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models.
CoRR, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Hierarchical Interactive Network for joint aspect extraction and sentiment classification.
Knowl. Based Syst., 2022
CoRR, 2022
2021
Deep Selective Memory Network With Selective Attention and Inter-Aspect Modeling for Aspect Level Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Empathetic Response Generation through Graph-based Multi-hop Reasoning on Emotional Causality.
Knowl. Based Syst., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Lightweight Multiple Perspective Fusion with Information Enriching for BERT-Based Answer Selection.
Proceedings of the Natural Language Processing and Chinese Computing, 2020
A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Hierarchical Attention Network with Pairwise Loss for Chinese Zero Pronoun Resolution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019