Intel AI Lab Open-Sources Library for Deep Learning-Driven NLP

Intel AI Lab open-sources library for deep learning-driven NLP

The Intel AI Lab has open-sourced a library for natural language processing to help researchers and developers give conversational agents like chatbots and virtual assistants the smarts necessary to function, such as name entity recognition, intent extraction, and semantic parsing to identify the action a person wants to take from their words. The first-ever conference by Intel for AI developers is being held Wednesday and Thursday, May 23 and 24, at the Palace of Fine Arts in San Francisco. The Intel AI Lab now employs about 40 data scientists and researchers and works with divisions of the company developing products like the nGraph framework and hardware like Nervana Neural Network chips, Liu said.

The NLP library, nlp-architect, includes tools made using datasets often seen as benchmarks by members of the academic research community, such as the Stanford Question Answering Dataset (SQuAD), used to test machine reading comprehension. It can also train models using custom data or public benchmark datasets with popular open source frameworks like Google’s TensorFlow or Facebook’s PyTorch.