Research: Difference between revisions
Computational Linguistics and Information Processing
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In the CLIP lab, we approach research on computational linguistics and information processing from a variety of angles. | 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 | * Deep learning | ||
* E-discovery | * E-discovery | ||
* Pattern discover in graphs / ranking and recommendation | |||
* Human-in-the-loop machine learning | |||
* Machine translation | |||
* Mental health | |||
* 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. | |||
Revision as of 01:51, 8 September 2017
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
- E-discovery
- 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.