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Yuan Liang

4 papers hereh-index 593 citations7 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Yuan Liang — 9 papers, h 14
  • Yuan Liang — 6 papers, h 4
  • Yuan Liang — 6 papers, h 1
  • Yuan Liang — 5 papers, h 0
  • Yuan Liang — 4 papers, h 7
  • Yuan Liang — 2 papers, h 6

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
20202022
most citedAudrey: A Personalized Open-Domain Conversational Bot

6 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2022★ 1 cited

RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction

Yuan Liang, Zhuoxuan Jiang, Di Yin +1

In document-level event extraction (DEE) task, event arguments always scatter across sentences (across-sentence issue) and multiple events may lie in one document (multi-event issu…

cs.CL2021★ 3 cited

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues

Liang Qiu, Yuan Liang, Yizhou Zhao +5

Inferring social relations from dialogues is vital for building emotionally intelligent robots to interpret human language better and act accordingly. We model the social network a…

cs.CL2021★ 3 cited

Towards Socially Intelligent Agents with Mental State Transition and Human Utility

Liang Qiu, Yizhou Zhao, Yuan Liang +4

Building a socially intelligent agent involves many challenges. One of which is to track the agent's mental state transition and teach the agent to make decisions guided by its val…

cs.CL2020★ 6 cited

Audrey: A Personalized Open-Domain Conversational Bot

Chung Hoon Hong, Yuan Liang, Sagnik Sinha Roy +10

Conversational Intelligence requires that a person engage on informational, personal and relational levels. Advances in Natural Language Understanding have helped recent chatbots s…

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