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Computational Linguistics and Information Processing

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* Data science for finance / social good
* Data science for finance / social good
* Deep learning
* Deep learning
* E-discovery
* Pattern discover in graphs / ranking and recommendation
* Pattern discover in graphs / ranking and recommendation
* Human-in-the-loop machine learning
* Human-in-the-loop machine learning

Latest revision as of 15:41, 23 September 2020

In the CLIP lab, we approach research on computational linguistics and information processing from a variety of angles. Some of our ongoing projects focus on the following challenges:

  • Computational psycholinguistics
  • Computational social science
  • Cross-language information retrieval
  • Data science for finance / social good
  • Deep learning
  • Pattern discover in graphs / ranking and recommendation
  • Human-in-the-loop machine learning
  • Machine translation
  • Mental health
  • Privacy-aware information retrieval
  • Speech retrieval
  • Urban computing / smart environments

CLIP research has been supported by the following organizations: NSF, DARPA, ARL, IARPA, OFR (Treasury), NIST, IMLS, Google, Yahoo and the World Bank.