Yi Zhang
Orcid: 0000-0002-9700-0693Affiliations:
- Peking University, School of Electronics Engineering and Computer Science / MOE Key Laboratory of Computational Linguistics, Beijing, China
According to our database1,
Yi Zhang
authored at least 19 papers
between 2017 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
2021
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.
IEEE Trans. Knowl. Data Eng., 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019
Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO).
Inf. Sci., 2019
CoRR, 2019
2018
CoRR, 2018
Proceedings of the Natural Language Processing and Chinese Computing, 2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
Proceedings of the 27th International Conference on Computational Linguistics, 2018
2017
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing.
CoRR, 2017
Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?
CoRR, 2017
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.
Proceedings of the Natural Language Processing and Chinese Computing, 2017