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Chenwei Zhang

Amazon

36 papers hereh-index 232.5k citations75 works total

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

author position
  • sole author1
  • first author4
  • middle author31

Across the 36 of 36 papers where every author was matched, so the position is known.

fields
  • cs.CL21
  • cs.LG5
  • cs.AI4
  • cs.CE1
  • cs.DB1
  • cs.DL1
affiliations
  • Amazon
  • University of Illinois at Chicago
Homepage
same name
  • Chenwei Zhang — 9 papers, h 7
  • Chenwei Zhang — 7 papers, h 3
  • Chenwei Zhang — 4 papers, h 7
  • Chenwei Zhang — 3 papers
  • Chenwei Zhang — 2 papers, h 2
  • Chenwei Zhang — 1 paper, 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
20162024
most citedAutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

69 citations · 147 across the 19 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

4 papers · 2 filters

cs.CL2019

Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction

Shaika Chowdhury, Chenwei Zhang, Philip S. Yu +1

Predicting patient mortality is an important and challenging problem in the healthcare domain, especially for intensive care unit (ICU) patients. Electronic health notes serve as a…

cs.CL2019

Structured Knowledge Discovery from Massive Text Corpus

Chenwei Zhang

Nowadays, with the booming development of the Internet, people benefit from its convenience due to its open and sharing nature. A large volume of natural language texts is being ge…

cs.CL2019

Multi-Grained Named Entity Recognition

Congying Xia, Chenwei Zhang, Tao Yang +6

This paper presents a novel framework, MGNER, for Multi-Grained Named Entity Recognition where multiple entities or entity mentions in a sentence could be non-overlapping or totall…

cs.CL2019

Entity Synonym Discovery via Multipiece Bilateral Context Matching

Chenwei Zhang, Yaliang Li, Nan Du +2

Being able to automatically discover synonymous entities in an open-world setting benefits various tasks such as entity disambiguation or knowledge graph canonicalization. Existing…

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