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researcher

Sun Kim

Amazon Alexa AI

9 papers hereh-index 211.5k citations76 works total

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

author position
  • first author1
  • middle author5
  • last author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG3
  • cs.HC1
  • cs.IR1
affiliations
  • Amazon Alexa AI
  • National Center for Biotechnology Information (NCBI)
Homepage
same name
  • Sun Kim — 8 papers, h 10
  • Sun Kim — 5 papers, h 2
  • Sun Kim — 4 papers, h 3
  • Sun Kim — 2 papers, h 6
  • Sun Kim — 1 paper, h 1
  • Sun Kim — 1 paper, h 8

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
20162022
most citedBioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale

68 citations · 133 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.CL2021

Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Yinhua Piao, Sangseon Lee, Dohoon Lee +1

Recently, graph neural networks (GNNs) have been widely used for document classification. However, most existing methods are based on static word co-occurrence graphs without sente…

cs.LG2021★ 5 cited

Handling Long-Tail Queries with Slice-Aware Conversational Systems

Cheng Wang, Sun Kim, Taiwoo Park +5

We have been witnessing the usefulness of conversational AI systems such as Siri and Alexa, directly impacting our daily lives. These systems normally rely on machine learning mode…

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