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Yang Deng

49 papers hereh-index 323.6k citations69 works total

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

author position
  • first author21
  • middle author25

Across the 46 of 49 papers where every author was matched, so the position is known.

fields
  • cs.CL41
  • cs.IR5
  • cs.CY1
  • cs.DB1
  • cs.HC1
same name
  • Yang Deng — 12 papers, h 7
  • Yang Deng — 9 papers, h 1
  • Yang Deng — 8 papers, h 4
  • Yang Deng — 7 papers, h 6
  • Yang Deng — 6 papers, h 5
  • Yang Deng — 6 papers, h 3

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
20182024
most citedA Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges

38 citations · 137 across the 48 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020★ 4 cited

Multi-hop Inference for Question-driven Summarization

Yang Deng, Wenxuan Zhang, Wai Lam

Question-driven summarization has been recently studied as an effective approach to summarizing the source document to produce concise but informative answers for non-factoid quest…

cs.CL2020★ 1 cited

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce

Yang Deng, Wenxuan Zhang, Wai Lam

Product-related question answering (QA) is an important but challenging task in E-Commerce. It leads to a great demand on automatic review-driven QA, which aims at providing instan…

cs.IR2020★ 1 cited

Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling

Wenxuan Zhang, Yang Deng, Wai Lam

Many E-commerce sites now offer product-specific question answering platforms for users to communicate with each other by posting and answering questions during online shopping. Ho…

cs.CL2020★ 1 cited

Review-guided Helpful Answer Identification in E-commerce

Wenxuan Zhang, Wai Lam, Yang Deng +1

Product-specific community question answering platforms can greatly help address the concerns of potential customers. However, the user-provided answers on such platforms often var…

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