Project Debater

Featured research from Project Debater

Since 2014, the IBM Project Debater team has released more than 50 technical papers and associated benchmark datasets across multiple research domains, with several more publications pending. The following resources highlight the scientific advances that drive many of Project Debater's capabilities.

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Project Debater

Selected research from Project Debater

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Algorithms for Natural Language Processing (NLP)

Argument Mining

Argument Quality

Benchmark Datasets

Deep Neural Nets (DNNs) and Weak Supervision

Expressive Text to Speech

Handling Low Resources

Key Point Analysis

Listening Comprehension

Multilingual Support

Stance Classification and Sentiment Analysis