1 code implementation • Findings (EMNLP) 2021 • Hannan Cao, Wenmian Yang, Hwee Tou Ng
Although grammatical error correction (GEC) has achieved good performance on texts written by learners of English as a second language, performance on low error density domains where texts are written by English speakers of varying levels of proficiency can still be improved.
1 code implementation • EMNLP 2020 • Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, Pengtao Xie
We also study the transferability of models trained on MedDialog to low-resource medical dialogue generation tasks.
no code implementations • 22 Nov 2022 • Lizhi Cheng, Wenmian Yang, Weijia Jia
Result Attention Network effectively utilizes the bidirectional interaction between results of slot filling and intent detection, mitigating the error propagation problem.
no code implementations • 24 Jun 2022 • Lizhi Cheng, Weijia Jia, Wenmian Yang
SHA captures salient historical information for the current dialogue from both historical utterances and results via a well-designed history-attention mechanism.
no code implementations • 16 Aug 2021 • Lizhi Cheng, Weijia Jia, Wenmian Yang
Spoken Language Understanding (SLU), a core component of the task-oriented dialogue system, expects a shorter inference latency due to the impatience of humans.
1 code implementation • ACL 2021 • Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, Pengtao Xie
Training complex dialog generation models on small datasets bears high risk of overfitting.
no code implementations • 10 Mar 2021 • Lizhi Cheng, Weijia Jia, Wenmian Yang
Spoken language understanding (SLU), which is a core component of the task-oriented dialogue system, has made substantial progress in the research of single-turn dialogue.
1 code implementation • 11 May 2020 • Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, Eric Xing, Pengtao Xie
On these two datasets, we train several dialogue generation models based on Transformer, GPT, and BERT-GPT.
no code implementations • 9 Aug 2019 • Wenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo
In this paper, we proposed a novel Similarity-Based Network with Interactive Variance Attention (SBN-IVA) to classify comments as spoilers or not.
no code implementations • ACL 2019 • Yongjian You, Weijia Jia, Tianyi Liu, Wenmian Yang
Comprehensive document encoding and salient information selection are two major difficulties for generating summaries with adequate salient information.
no code implementations • 10 May 2019 • Wenmian Yang, Weijia Jia, XIaojie Zhou, Yutao Luo
To distinguish cases with similar descriptions but different penalties, we integrate word collocations features of fact descriptions into the network via an attention mechanism.
no code implementations • 3 May 2019 • Wenmian Yang, Kun Wang, Na Ruan, Wenyuan Gao, Weijia Jia, Wei Zhao, Nan Liu, Yunyong Zhang
Finally, we gain the weight of each word by combining Semantic Weight (SW) and Inverse Document Frequency (IDF).
no code implementations • 2 May 2019 • Wenmian Yang, Wenyuan Gao, Xiaojie Zhou, Weijia Jia, Shaohua Zhang, Yutao Luo
Time-sync comment (TSC) is a new form of user-interaction review associated with real-time video contents, which contains a user's preferences for videos and therefore well suited as the data source for video recommendations.