activity
20192021
most citedSimilar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning

19 citations · 23 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV202119 cited

Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning

Guodun Li, Yuchen Zhai, Zehao Lin +1

Stylized image captioning systems aim to generate a caption not only semantically related to a given image but also consistent with a given style description. One of the biggest ch…

cs.CL2021

Dialogue State Tracking with Multi-Level Fusion of Predicted Dialogue States and Conversations

Jingyao Zhou, Haipang Wu, Zehao Lin +2

Most recently proposed approaches in dialogue state tracking (DST) leverage the context and the last dialogue states to track current dialogue states, which are often slot-value pa…

cs.CL20201 cited

MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert

Shuke Peng, Feng Ji, Zehao Lin +3

How to build a high-quality multi-domain dialogue system is a challenging work due to its complicated and entangled dialogue state space among each domain, which seriously limits t…

cs.CL20193 cited

Task-Oriented Conversation Generation Using Heterogeneous Memory Networks

Zehao Lin, Xinjing Huang, Feng Ji +2

How to incorporate external knowledge into a neural dialogue model is critically important for dialogue systems to behave like real humans. To handle this problem, memory networks…

cs.CL2019

Teacher-Student Framework Enhanced Multi-domain Dialogue Generation

Shuke Peng, Xinjing Huang, Zehao Lin +3

Dialogue systems dealing with multi-domain tasks are highly required. How to record the state remains a key problem in a task-oriented dialogue system. Normally we use human-define…