activity
20182024
most citedEffects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies

90 citations · 230 across the 22 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration

Weiyan Shi, Yu Li, Saurav Sahay +1

Persuasion dialogue systems reflect the machine's ability to make strategic moves beyond verbal communication, and therefore differentiate themselves from task-oriented or open-dom…

cs.CL2020★ 29 cited

Structured Attention for Unsupervised Dialogue Structure Induction

Liang Qiu, Yizhou Zhao, Weiyan Shi +5

Inducing a meaningful structural representation from one or a set of dialogues is a crucial but challenging task in computational linguistics. Advancement made in this area is crit…

cs.CL2020★ 12 cited

INSPIRED: Toward Sociable Recommendation Dialog Systems

Shirley Anugrah Hayati, Dongyeop Kang, Qingxiaoyang Zhu +2

In recommendation dialogs, humans commonly disclose their preference and make recommendations in a friendly manner. However, this is a challenge when developing a sociable recommen…

cs.CL2020★ 8 cited

A Tailored Pre-Training Model for Task-Oriented Dialog Generation

Jing Gu, Qingyang Wu, Chongruo Wu +2

The recent success of large pre-trained language models such as BERT and GPT-2 has suggested the effectiveness of incorporating language priors in downstream dialog generation task…

cs.HC2020★ 90 cited

Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies

Weiyan Shi, Xuewei Wang, Yoo Jung Oh +3

Intelligent conversational agents, or chatbots, can take on various identities and are increasingly engaging in more human-centered conversations with persuasive goals. However, li…