activity
20192024
most citedProactive Retrieval-based Chatbots based on Relevant Knowledge and Goals

21 citations · 100 across the 14 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 7 cited

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark

Yuan Yao, Qingxiu Dong, Jian Guan +32

Realizing general-purpose language intelligence has been a longstanding goal for natural language processing, where standard evaluation benchmarks play a fundamental and guiding ro…

cs.CL2021★ 21 cited

Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals

Yutao Zhu, Jian-Yun Nie, Kun Zhou +3

A proactive dialogue system has the ability to proactively lead the conversation. Different from the general chatbots which only react to the user, proactive dialogue systems can b…

eess.AS2021★ 2 cited

Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer

Zongyang Du, Berrak Sisman, Kun Zhou +1

Traditional voice conversion(VC) has been focused on speaker identity conversion for speech with a neutral expression. We note that emotional expression plays an essential role in…

cs.CL2021★ 4 cited

Limited Data Emotional Voice Conversion Leveraging Text-to-Speech: Two-stage Sequence-to-Sequence Training

Kun Zhou, Berrak Sisman, Haizhou Li

Emotional voice conversion (EVC) aims to change the emotional state of an utterance while preserving the linguistic content and speaker identity. In this paper, we propose a novel…

cs.CL2021★ 2 cited

Content Selection Network for Document-grounded Retrieval-based Chatbots

Yutao Zhu, Jian-Yun Nie, Kun Zhou +2

Grounding human-machine conversation in a document is an effective way to improve the performance of retrieval-based chatbots. However, only a part of the document content may be r…