1 code implementation • RANLP 2021 • Minghuan Tan, Jing Jiang
We find that our method substantially outperforms existing methods on the evaluation dataset we have constructed.
no code implementations • RANLP 2021 • Minghuan Tan, Jing Jiang
Understanding idioms is important in NLP.
1 code implementation • 26 Feb 2024 • Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, BoWen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan
In this paper, we contribute a new benchmark, the first Multilingual-oriented quiZ on Intellectual Property (MoZIP), for the evaluation of LLMs in the IP domain.
1 code implementation • SemEval (NAACL) 2022 • Minghuan Tan
This paper describes an approach to detect idiomaticity only from the contextualized representation of a MWE over multilingual pretrained language models.
no code implementations • 12 May 2022 • Yong Dai, Duyu Tang, Liangxin Liu, Minghuan Tan, Cong Zhou, Jingquan Wang, Zhangyin Feng, Fan Zhang, Xueyu Hu, Shuming Shi
Moreover, our model supports self-supervised pretraining with the same sparsely activated way, resulting in better initialized parameters for different modalities.
1 code implementation • ACL 2022 • Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi
We find that a frozen GPT achieves state-of-the-art performance on perfect pinyin.
1 code implementation • 19 May 2021 • Minghuan Tan, Lei Wang, Lingxiao Jiang, Jing Jiang
In this paper, we revisit math word problems~(MWPs) from the cross-lingual and multilingual perspective.
1 code implementation • COLING 2020 • Minghuan Tan, Jing Jiang
Specifically, we first match the embedding of each candidate idiom with the hidden representation corresponding to the blank in the context.