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Unstructured Synthetic Text: Beyond Tabular Data

Unstructured Synthetic Text: Beyond Tabular Data

Oct 7, 2022 | Chatbots, Core NLP for AI engines, Generative AI, NLP, Stemming, Synthetic data, text analysis

The case for evaluation of NLU platforms Synthetic image and video have proven to be a big success for cost-cutting. Synthetic text is following suit: tabular data (that is the data organized in a table with rows and columns) is becoming mainstream already, and the...
Multilingual Synthetic Training Data For Intent Detection

Multilingual Synthetic Training Data For Intent Detection

Oct 6, 2022 | Chatbots, Core NLP for AI engines, Generative AI, NLP, Stemming, Synthetic data, text analysis

What Is Synthetic training data? Synthetic Training data is the data that is used to train an NLU engine. An NLU engine allows chatbots to understand the intent of user queries. The training data is enriched by data labeling or data annotation, with information about...
NLP for Arabic – The case of lemmatization

NLP for Arabic – The case of lemmatization

Sep 13, 2022 | Chatbots, Core NLP for AI engines, Lemmatization, NLP

Arabic is a complex language for NLP tasks, even for simple ones like lemmatization. There are several reasons for this: Arabic creates words based on roots: for example, the word کتاب (kitab, “book”) is derived from ك ت ب (k t b). Many related words are derived from...
How to Change Your Order in 10,000 Different Ways

How to Change Your Order in 10,000 Different Ways

Feb 15, 2022 | Chatbots, conversational, Core NLP for AI engines, NLP, Synthetic data, text analysis

How Synthetic Text can solve your training and evaluation problems for your virtual assistants / chatbots When shopping online, customers frequently have the need to modify their order: exchanging an item in the basket, deleting something already added… Customers ask...
Evaluate the Quality of your Chatbots and Conversational Agents

Evaluate the Quality of your Chatbots and Conversational Agents

Jul 4, 2019 | Chatbots, conversational, Core NLP for AI engines, Generative AI, NLP, Stemming, Synthetic data, text analysis

It is always important to evaluate the quality of your chatbots and conversational agents in order to know the its real health, accuracy and efficiency. Chatbot accuracy can only be increased by constantly evaluating and retraining it with new data that answers your...
6 keys to building a successful human-like chatbot

6 keys to building a successful human-like chatbot

Feb 1, 2018 | Chatbots, conversational, Core NLP for AI engines, Generative AI, NLP, Stemming, Synthetic data, text analysis

Talking, expressing ourselves through words, using speech to exchange information is something that comes natural to humans. Then why don’t we just talk with goods and service providers on the internet, instead of using all kinds of user interfaces, buttons and...
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