https://openvoice-tech.net/api.php?action=feedcontributions&feedformat=atom&user=2001%3A983%3AF963%3A1%3AE173%3A9625%3A7229%3AAF93 2026-05-01T18:02:46Z User contributions MediaWiki 1.43.1 https://openvoice-tech.net/index.php?title=Natural_language_understanding&diff=2186 2022-01-03T18:11:45Z

<p>2001:983:F963:1:E173:9625:7229:AF93: created a link for gpt-3</p> <hr /> <div>Natural Language Understanding (NLU) is a a misleading term, highly discussed in the Conversational AI / scientific community.<br /> <br /> In recent years, especially in the chatbot engineering industry, we tend to use NLU to mean an intent/entities classifier, based on machine learning techniques (transformers, etc.). The main open source project / state of the art of this approach is probably the [https://rasa.com/blog/introducing-dual-intent-and-entity-transformer-diet-state-of-the-art-performance-on-a-lightweight-architecture/ RASA DIET classifier].<br /> <br /> Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming &quot;language understanding&quot; a ML-based classifier of intents (and entities). A growing number of researcher linguists state that it's even impossible to understand language with machine language techniques (the more famous and currently debated is probably [[GPT-3]]). One of the scientist more active in this battle is [https://ontologik.medium.com/ Walid Saba].</div>

2001:983:F963:1:E173:9625:7229:AF93