Search Results for author: Juncheng Wan

Found 5 papers, 1 papers with code

Nested Named Entity Recognition with Span-level Graphs

no code implementations ACL 2022 Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu

In this work, we try to improve the span representation by utilizing retrieval-based span-level graphs, connecting spans and entities in the training data based on n-gram features.

named-entity-recognition Named Entity Recognition +3

Forgetting Fast in Recommender Systems

no code implementations14 Aug 2022 Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li

In this paper, we investigate fast machine unlearning techniques for recommender systems that can remove the effect of a small amount of training data from the recommendation model without incurring the full cost of retraining.

Machine Unlearning Recommendation Systems

PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation

no code implementations COLING 2022 Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Zhoujun Li

While end-to-end neural machine translation (NMT) has achieved impressive progress, noisy input usually leads models to become fragile and unstable.

Machine Translation NMT +1

Smart-Start Decoding for Neural Machine Translation

no code implementations NAACL 2021 Jian Yang, Shuming Ma, Dongdong Zhang, Juncheng Wan, Zhoujun Li, Ming Zhou

Most current neural machine translation models adopt a monotonic decoding order of either left-to-right or right-to-left.

Machine Translation Translation

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