Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Jinchao Zhang

Jinchao Zhang

Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora

Sep 14, 2021
Pengda Si, Yao Qiu, Jinchao Zhang, Yujiu Yang

Figure 1 for Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora

Figure 2 for Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora

Figure 3 for Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora

Figure 4 for Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora

* 13 pages, 5 figures

Access Paper or Ask Questions

Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

Sep 01, 2021
Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou

Figure 1 for Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

Figure 2 for Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

Figure 3 for Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

Figure 4 for Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification

* Accepted by EMNLP 2021 main conference (Long Paper)

Access Paper or Ask Questions

GTM: A Generative Triple-Wise Model for Conversational Question Generation

Jun 07, 2021
Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou

Figure 1 for GTM: A Generative Triple-Wise Model for Conversational Question Generation

Figure 2 for GTM: A Generative Triple-Wise Model for Conversational Question Generation

Figure 3 for GTM: A Generative Triple-Wise Model for Conversational Question Generation

Figure 4 for GTM: A Generative Triple-Wise Model for Conversational Question Generation

* To appear at ACL 2021 main conference (long paper)

Access Paper or Ask Questions

Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Jun 04, 2021
Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou

Figure 1 for Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Figure 2 for Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Figure 3 for Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Figure 4 for Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

* ACL2021 main conference (long paper)

Access Paper or Ask Questions

Token-level Adaptive Training for Neural Machine Translation

Oct 09, 2020
Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu

Figure 1 for Token-level Adaptive Training for Neural Machine Translation

Figure 2 for Token-level Adaptive Training for Neural Machine Translation

Figure 3 for Token-level Adaptive Training for Neural Machine Translation

Figure 4 for Token-level Adaptive Training for Neural Machine Translation

* 12 pages; Accepted by EMNLP 2020

Access Paper or Ask Questions

Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis

Aug 12, 2020
Yunlong Liang, Fandong Meng, Jinchao Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

Figure 1 for Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis

Figure 2 for Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis

Figure 3 for Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis

* rejected in emnlp-ijcnlp 2019 as a short paper(3/3/3)

Access Paper or Ask Questions