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Advancing Natural Language Processing - Intel® Chip Chat episode 674

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Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Natural Language Processing is a complex and important field of AI. It’s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read scanned text from analogue media. Understanding language and producing language are at once simple and complex problems for AI. While an AI may know the meaning of individual words perfectly well, syntax, sentiment, and context can add meaning that is more difficult to detect. For this episode we’re joined by Peter Izsak, a senior deep learning data scientist and lead developer of NLP Architect at Intel. NLP Architect is an open source library built to facilitate research and collaboration within the NLP community and create a platform for NLP collaboration. Now on its fifth version, NLP Architect’s newest features allow for greater understanding of linguistic context that AI often finds so challenging. For more about NLP Architect go to: https://www.intel.ai/research-projects or http://nlp_architect.nervanasys.com/ Intel and the Intel logo, are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. Other names and brands may be claimed as the property of others.
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172 episodes

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Manage episode 244641289 series 1210447
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Natural Language Processing is a complex and important field of AI. It’s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read scanned text from analogue media. Understanding language and producing language are at once simple and complex problems for AI. While an AI may know the meaning of individual words perfectly well, syntax, sentiment, and context can add meaning that is more difficult to detect. For this episode we’re joined by Peter Izsak, a senior deep learning data scientist and lead developer of NLP Architect at Intel. NLP Architect is an open source library built to facilitate research and collaboration within the NLP community and create a platform for NLP collaboration. Now on its fifth version, NLP Architect’s newest features allow for greater understanding of linguistic context that AI often finds so challenging. For more about NLP Architect go to: https://www.intel.ai/research-projects or http://nlp_architect.nervanasys.com/ Intel and the Intel logo, are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. Other names and brands may be claimed as the property of others.
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