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Guanyi Chen

Central China Normal University

24 papers hereh-index 11762 citations44 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author14
  • last author3

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL22
  • cs.AI1
  • cs.LG1
affiliations
  • Central China Normal University
Homepage
same name
  • Guanyi Chen — 2 papers, h 1
  • Guanyi Chen — 1 paper, h 2
  • Guanyi Chen — 1 paper, h 2
  • Guanyi Chen — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedPersonalized Dialogue Generation with Diversified Traits

88 citations · 131 across the 21 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

What can Neural Referential Form Selectors Learn?

Guanyi Chen, Fahime Same, Kees van Deemter

Despite achieving encouraging results, neural Referring Expression Generation models are often thought to lack transparency. We probed neural Referential Form Selection (RFS) model…

cs.CL2021★ 1 cited

Affective Decoding for Empathetic Response Generation

Chengkun Zeng, Guanyi Chen, Chenghua Lin +2

Understanding speaker's feelings and producing appropriate responses with emotion connection is a key communicative skill for empathetic dialogue systems. In this paper, we propose…

cs.CL2021

MMChat: Multi-Modal Chat Dataset on Social Media

Yinhe Zheng, Guanyi Chen, Xin Liu +1

Incorporating multi-modal contexts in conversation is important for developing more engaging dialogue systems. In this work, we explore this direction by introducing MMChat: a larg…

cs.LG2021★ 2 cited

Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis

Xutan Peng, Guanyi Chen, Chenghua Lin +1

Knowledge Graph Embeddings (KGEs) have been intensively explored in recent years due to their promise for a wide range of applications. However, existing studies focus on improving…

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