- Shallow Parse
- QA Driven Sentence Encoding
- Zero-Shot Text Classification
- Navigating Information Pollution
- Semantic Role Labeling
(with one of the following selected)
- Research Support/In Progress
The links on this page point to several products of our research over the last few years. We present demos and services that use machine learning to uncover information in natural language text. These include named entity recognition and entity linking in many languages, event extraction, temporal phrase extraction and normalization, extended Semantic Role Labeling (including verb predicates, nominals and prepositions) and more.
In addition to our individual demos, we also have a demo pipeline, CogComp-NLP, wherein a combination of tasks can be run individually or together on a selection of text. See the left menu for access to the pipeline with specific tasks selected.
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