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Joseph Chee Chang

I am a research scientist at the Allen Institute for AI (Ai2) working on the Asta project. I received my PhD from the Language Technologies Institute and the Human-Computer Interaction Institute at Carnegie Mellon University. My research sits at the intersection of human-computer interaction and AI, with the goal of building systems that help people navigate, understand, and synthesize large amounts of information. I primarily publish in HCI venues (e.g., CHI, UIST) and occationally in NLP conf

12 papers hereh-index 201.3k citations29 works total

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author position
  • first author2
  • middle author8
  • last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.HC10
  • cs.CL1
  • cs.NE1
affiliations
  • I am a research scientist at the Allen Institute for AI (Ai2) working on the Asta project. I received my PhD from the Language Technologies Institute and the Human-Computer Interaction Institute at Carnegie Mellon University. My research sits at the intersection of human-computer interaction and AI, with the goal of building systems that help people navigate, understand, and synthesize large amounts of information. I primarily publish in HCI venues (e.g., CHI, UIST) and occationally in NLP conf
Homepage
same name
  • Joseph Chee Chang — 1 paper

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
20142023
most citedEvorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time

65 citations · 396 across the 12 of their papers we have counts for

collaborators
Showing cs.NEShow all

1 paper · 1 filter

cs.NE2014★ 20 cited

Recurrent-Neural-Network for Language Detection on Twitter Code-Switching Corpus

Joseph Chee Chang, Chu-Cheng Lin

Mixed language data is one of the difficult yet less explored domains of natural language processing. Most research in fields like machine translation or sentiment analysis assume…

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