no code implementations • IWSLT (ACL) 2022 • Weitai Zhang, Zhongyi Ye, Haitao Tang, Xiaoxi Li, Xinyuan Zhou, Jing Yang, Jianwei Cui, Dan Liu, Junhua Liu, LiRong Dai
This paper describes USTC-NELSLIP’s submissions to the IWSLT 2022 Offline Speech Translation task, including speech translation of talks from English to German, English to Chinese and English to Japanese.
no code implementations • IWSLT (ACL) 2022 • Bao Guo, Mengge Liu, Wen Zhang, Hexuan Chen, Chang Mu, Xiang Li, Jianwei Cui, Bin Wang, Yuhang Guo
Our system is built based on the Transformer model with novel techniques borrowed from our recent research work.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
1 code implementation • Findings (ACL) 2022 • Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang
Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.
no code implementations • 17 Mar 2023 • Xiuying Chen, Mingzhe Li, Jiayi Zhang, Xiaoqiang Xia, Chen Wei, Jianwei Cui, Xin Gao, Xiangliang Zhang, Rui Yan
As it is cumbersome and expensive to acquire a huge amount of data for training neural dialog models, data augmentation is proposed to effectively utilize existing training samples.
1 code implementation • 21 Dec 2022 • Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang
In this paper, we propose a framework, MoralDial to train and evaluate moral dialogue systems.
1 code implementation • 6 Apr 2022 • Dawei Li, Yanran Li, Jiayi Zhang, Ke Li, Chen Wei, Jianwei Cui, Bin Wang
Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps.
1 code implementation • ACL 2022 • Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan
Applying existing methods to emotional support conversation -- which provides valuable assistance to people who are in need -- has two major limitations: (a) they generally employ a conversation-level emotion label, which is too coarse-grained to capture user's instant mental state; (b) most of them focus on expressing empathy in the response(s) rather than gradually reducing user's distress.
no code implementations • 27 Jul 2021 • Pan Xie, Zhi Cui, Yao Du, Mengyi Zhao, Jianwei Cui, Bin Wang, Xiaohui Hu
Continuous sign language recognition (cSLR) is a public significant task that transcribes a sign language video into an ordered gloss sequence.
no code implementations • 31 May 2021 • Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang
However, such a decoder only exploits the preorder traversal based preceding actions, which are insufficient to ensure correct action predictions.
no code implementations • 11 May 2021 • Yanran Li, Ke Li, Hongke Ning, Xiaoqiang Xia, Yalong Guo, Chen Wei, Jianwei Cui, Bin Wang
Existing emotion-aware conversational models usually focus on controlling the response contents to align with a specific emotion class, whereas empathy is the ability to understand and concern the feelings and experience of others.
1 code implementation • 15 Dec 2020 • Jiayi Zhang, Zhi Cui, Xiaoqiang Xia, Yalong Guo, Yanran Li, Chen Wei, Jianwei Cui
In this paper, we propose a new task of Writing Polishment with Simile (WPS) to investigate whether machines are able to polish texts with similes as we human do.
no code implementations • 15 Dec 2020 • Wenjie Qin, Xiang Li, Yuhui Sun, Deyi Xiong, Jianwei Cui, Bin Wang
In this paper, we propose a robust neural machine translation (NMT) framework.
1 code implementation • 14 Dec 2020 • Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan
Hence, in this paper, we propose to improve the response generation performance by examining the model's ability to answer a reading comprehension question, where the question is focused on the omitted information in the dialog.
1 code implementation • COLING 2020 • Pan Xie, Zhi Cui, Xiuyin Chen, Xiaohui Hu, Jianwei Cui, Bin Wang
Concretely, we insert a left-to-right mask to the same decoder of CMTM, and then induce it to autoregressively review whether each generated word from CMTM is supposed to be replaced or kept.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Zhi Cui, Yan-ran Li, Jiayi Zhang, Jianwei Cui, Chen Wei, Bin Wang
To model diverse responses for a given post, one promising way is to introduce a latent variable into Seq2Seq models.
no code implementations • WS 2020 • Yuhui Sun, Mengxue Guo, Xiang Li, Jianwei Cui, Bin Wang
This paper describes the Xiaomi{'}s submissions to the IWSLT20 shared open domain translation task for Chinese{\textless}-{\textgreater}Japanese language pair.
no code implementations • WS 2020 • Junxuan Chen, Xiang Li, Jiarui Zhang, Chulun Zhou, Jianwei Cui, Bin Wang, Jinsong Su
Finally, we combine the discourse structure information with the word embedding before it is fed into the encoder.