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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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
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