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Minlie Huang

Tsinghua University

143 papers hereh-index 7422k citations277 works total

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

author position
  • first author2
  • middle author54
  • last author82

Across the 138 of 143 papers where every author was matched, so the position is known.

fields
  • cs.CL127
  • cs.AI7
  • cs.LG6
  • cs.IR3
affiliations
  • Tsinghua University
Homepage
same name
  • Minlie Huang — 56 papers, h 20
  • Minlie Huang — 12 papers, h 7
  • Minlie Huang — 9 papers, h 11
  • Minlie Huang — 9 papers, h 8
  • Minlie Huang — 6 papers, h 7
  • Minlie Huang — 6 papers, 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
20152023
most citedReinforcement Learning for Relation Classification from Noisy Data

183 citations · 2.2k across the 143 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.AI2017★ 29 cited

Augmenting End-to-End Dialog Systems with Commonsense Knowledge

Tom Young, Erik Cambria, Iti Chaturvedi +3

Building dialog agents that can converse naturally with humans is a challenging yet intriguing problem of artificial intelligence. In open-domain human-computer conversation, where…

cs.CL2017★ 40 cited

Assigning personality/identity to a chatting machine for coherent conversation generation

Qiao Qian, Minlie Huang, Haizhou Zhao +2

Endowing a chatbot with personality or an identity is quite challenging but critical to deliver more realistic and natural conversations. In this paper, we address the issue of gen…

cs.CL2017★ 114 cited

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

Hao Zhou, Minlie Huang, Tianyang Zhang +2

Perception and expression of emotion are key factors to the success of dialogue systems or conversational agents. However, this problem has not been studied in large-scale conversa…

cs.IR2017

SAR: Semantic Analysis for Recommendation

Han Xiao, Lian Meng

Recommendation system is a common demand in daily life and matrix completion is a widely adopted technique for this task. However, most matrix completion methods lack semantic inte…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.