Research: Difference between revisions
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 | ||
* 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 | ||
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* Privacy-aware information retrieval | * Privacy-aware information retrieval | ||
* Speech 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. | CLIP research has been supported by the following organizations: NSF, DARPA, ARL, IARPA, OFR (Treasury), NIST, IMLS, Google, Yahoo and the World Bank. | ||
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.