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- 2Natural Language Processing
- 1Explainable Artificial Intelligence
- 1Information Extraction
- 1Information Networks
- 1Named Entity Recognition
- 1Relation Extraction
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Spring 2015
This work is concerned with the problem of extracting structured information networks from a text corpus. The nodes of the network are recognizable entities, typically people, locations, or organizations, while the edges denote relations among such entities. We use state-of-the-art natural...
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Fall 2023
Explainable artificial intelligence models are becoming increasingly important as restrictions grow for corporate use of blackbox models whose predictions affect people’s lives and yet cannot be interpreted. Black boxes do not convey trust to end-users and are difficult to train and debug for...
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