Natural language understanding - Revision history

Digitalica: add links

2022-01-03T21:56:32Z

add links

← Older revision		Revision as of 23:56, 3 January 2022
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	Natural Language Understanding (NLU) is a a misleading term, highly discussed in the Conversational AI / scientific community.		Natural Language Understanding (NLU) is a a misleading term, highly discussed in the Conversational AI / scientific community.

	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].		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].

	Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming "language understanding" 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].		Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming "language understanding" 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].

2001:983:F963:1:E173:9625:7229:AF93: created a link for gpt-3

2022-01-03T18:11:45Z

created a link for gpt-3

← Older revision		Revision as of 20:11, 3 January 2022
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	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].		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].

	Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming "language understanding" 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].		Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming "language understanding" 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].

Solyarisoftware: DIET classifier link added

2021-12-09T15:55:49Z

DIET classifier link added

← Older revision		Revision as of 17:55, 9 December 2021
Line 1:		Line 1:
	Natural Language Understanding (NLU) is a a misleading term, highly discussed in the Conversational AI / scientific community.		Natural Language Understanding (NLU) is a a misleading term, highly discussed in the Conversational AI / scientific community.

	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 RASA DIET classifier.		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].

	Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming "language understanding" 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].		Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming "language understanding" 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].

Solyarisoftware: NLU definition

2021-12-05T18:06:34Z

NLU definition

New page

Natural Language Understanding (NLU) is a a misleading term, highly discussed in the Conversational AI / scientific community.

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 RASA DIET classifier.

Besides, in terms of linguistic, and psycho-linguistic/cognitive scientific disciplines, there is a great skepticism about naming "language understanding" 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].