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Min Yang

8 papers hereh-index 2226k citations37 works total

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

author position
  • middle author5
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.SE1
  • cs.SI1
same name
  • Min Yang — 23 papers
  • Min Yang — 19 papers, h 15
  • Min Yang — 19 papers, h 6
  • Min Yang — 19 papers, h 6
  • Min Yang — 13 papers, h 8
  • Min Yang — 13 papers, h 4

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
20182023
most citedA Survey of Natural Language Generation

151 citations · 196 across the 8 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018★ 9 cited

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

Yang Deng, Yuexiang Xie, Yaliang Li +5

Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) systems. Existing methods solve these two tasks separately, which r…

cs.SE2018

Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Yao Wan, Zhou Zhao, Min Yang +4

Code summarization provides a high level natural language description of the function performed by code, as it can benefit the software maintenance, code categorization and retriev…

cs.CL2018★ 15 cited

Dial2Desc: End-to-end Dialogue Description Generation

Haojie Pan, Junpei Zhou, Zhou Zhao +3

We first propose a new task named Dialogue Description (Dial2Desc). Unlike other existing dialogue summarization tasks such as meeting summarization, we do not maintain the natural…

cs.CL2018★ 1 cited

A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification

Zeyang Lei, Yujiu Yang, Min Yang +1

Deep learning approaches for sentiment classification do not fully exploit sentiment linguistic knowledge. In this paper, we propose a Multi-sentiment-resource Enhanced Attention N…

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