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Danqi Chen

Princeton University

54 papers hereh-index 5568k citations85 works total

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

author position
  • first author1
  • middle author21
  • last author30

Across the 52 of 54 papers where every author was matched, so the position is known.

fields
  • cs.CL45
  • cs.LG6
  • cs.AI1
  • cs.CR1
  • cs.CV1
affiliations
  • Princeton University
Homepage
same name
  • Danqi Chen — 14 papers, h 10
  • Danqi Chen — 6 papers, h 4
  • Danqi Chen — 4 papers, h 3
  • Danqi Chen — 3 papers
  • Danqi Chen — 3 papers, h 1
  • Danqi Chen — 3 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
20132026
most citedLearning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors

60 citations · 302 across the 41 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

Single-dataset Experts for Multi-dataset Question Answering

Dan Friedman, Ben Dodge, Danqi Chen

Many datasets have been created for training reading comprehension models, and a natural question is whether we can combine them to build models that (1) perform better on all of t…

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

Non-Parametric Few-Shot Learning for Word Sense Disambiguation

Howard Chen, Mengzhou Xia, Danqi Chen

Word sense disambiguation (WSD) is a long-standing problem in natural language processing. One significant challenge in supervised all-words WSD is to classify among senses for a m…

cs.CL2021

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

Sewon Min, Jordan Boyd-Graber, Chris Alberti +50

We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and…

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