◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jinhyuk Lee

Google

22 papers hereh-index 219.4k citations32 works total

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

author position
  • first author7
  • middle author14
  • last author1

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.CV1
  • cs.LG1
affiliations
  • Google
Homepage
same name
  • Jinhyuk Lee — 8 papers, h 6
  • Jinhyuk Lee — 1 paper
  • Jinhyuk Lee — 1 paper, 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
20182023
most citedBERN2: an advanced neural biomedical named entity recognition and normalization tool

124 citations · 164 across the 11 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

Simple Questions Generate Named Entity Recognition Datasets

Hyunjae Kim, Jaehyo Yoo, Seunghyun Yoon +2

Recent named entity recognition (NER) models often rely on human-annotated datasets, requiring the significant engagement of professional knowledge on the target domain and entitie…

cs.CL2021

Phrase Retrieval Learns Passage Retrieval, Too

Jinhyuk Lee, Alexander Wettig, Danqi Chen

Dense retrieval methods have shown great promise over sparse retrieval methods in a range of NLP problems. Among them, dense phrase retrieval-the most fine-grained retrieval unit-i…

cs.CL2021★ 1 cited

Can Language Models be Biomedical Knowledge Bases?

Mujeen Sung, Jinhyuk Lee, Sean Yi +3

Pre-trained language models (LMs) have become ubiquitous in solving various natural language processing (NLP) tasks. There has been increasing interest in what knowledge these LMs…

cs.CL2021★ 1 cited

Simple Entity-Centric Questions Challenge Dense Retrievers

Christopher Sciavolino, Zexuan Zhong, Jinhyuk Lee +1

Open-domain question answering has exploded in popularity recently due to the success of dense retrieval models, which have surpassed sparse models using only a few supervised trai…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.