activity
20172025
most citedRUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems

117 citations · 692 across the 53 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CL2021★ 1 cited

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning

Chongyang Tao, Jiazhan Feng, Chang Liu +3

Establishing retrieval-based dialogue systems that can select appropriate responses from the pre-built index has gained increasing attention from researchers. For this task, the ad…

cs.CL2021★ 4 cited

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation

Yufei Wang, Can Xu, Huang Hu +5

Sequence-to-Sequence (S2S) neural text generation models, especially the pre-trained ones (e.g., BART and T5), have exhibited compelling performance on various natural language gen…

cs.CL2021★ 1 cited

Maria: A Visual Experience Powered Conversational Agent

Zujie Liang, Huang Hu, Can Xu +5

Arguably, the visual perception of conversational agents to the physical world is a key way for them to exhibit the human-like intelligence. Image-grounded conversation is thus pro…

cs.CL2021★ 2 cited

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding

Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling +3

Recently, various neural models for multi-party conversation (MPC) have achieved impressive improvements on a variety of tasks such as addressee recognition, speaker identification…

cs.CL2021★ 10 cited

A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect

Binbin Xu, Chongyang Tao, Zidu Feng +2

This study presents a large scale benchmarking on cloud based Speech-To-Text systems: {Google Cloud Speech-To-Text}, {Microsoft Azure Cognitive Services}, {Amazon Transcribe}, {IBM…

cs.CL2021★ 3 cited

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots

Juntao Li, Chang Liu, Chongyang Tao +4

Existing multi-turn context-response matching methods mainly concentrate on obtaining multi-level and multi-dimension representations and better interactions between context uttera…