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. Some of our ongoing projects focus on: | 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 psycholinguistics | ||
* Computational social science | * Computational social science | ||
* Cross-language information retrieval | * Cross-language information retrieval | ||
* Data science for finance | * 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 | * Human-in-the-loop machine learning | ||
* Machine translation | * Machine translation | ||
* Mental health | * Mental health | ||
Revision as of 01:47, 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
CLIP research has been supported by the following organizations: NSF, DARPA, ARL, IARPA, OFR (Treasury), NIST, IMLS, Google, Yahoo and the World Bank.