Today, users expect more from their document repositories than the traditional keyword search experience. Natural language questions may be answered about general topics, but what can an organization offer that fits their specific domain? Find out how i2k Connect is leveraging NVIDIA technology to accelerate Q&A capabilities for the energy industry and which key lessons they've learned about answering questions intelligently using modern natural language processing (NLP) and BERT-based models.

• Utilize BERT-based question answering models

• Provide real-time responses using tabular data extracted from documents

• Pre-compute knowledge to assist in answering real-world questions

• Build an NLP architecture that combines multiple strategies

Content

content goes here