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Unstructured Synthetic Text. Beyond tabular data

[fa icon="calendar'] Oct 7, 2022 3:18:41 AM / by Bitext posted in "Multilingual synthetic data", synthetic data, synthetic training data, synthetic text

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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 next step is synthetic unstructured text, which is the data that doesn`t have a predefined format.

Synthetic unstructured text supports more complex cases, where actual text in the form of full sentences or documents is required.

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Multilingual Synthetic Training Data For Intent Detection

[fa icon="calendar'] Oct 7, 2022 3:12:55 AM / by Bitext posted in "Multilingual synthetic data", synthetic data, synthetic training data, synthetic text

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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 entities, slots…

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NLP for Arabic, the case of Lemmatization

[fa icon="calendar'] Sep 13, 2022 2:26:38 PM / by Bitext posted in NLP, Natural Language, Lemmatization

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Arabic is a complex language for NLP tasks, even for simple ones like lemmatization.

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How to change your order in 10,000  different ways

[fa icon="calendar'] Feb 16, 2022 8:29:20 PM / by Bitext posted in Artificial Intelligence, chatbot evaluation, synthetic data, synthetic training data, chatbot training, chatbot

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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…

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AI, Climate and Synthetic Data

[fa icon="calendar'] Feb 15, 2022 6:30:00 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, POS tagging, AI, Multilanguage, NLP for Core, NLP for Chatbots

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In the last COP25 Climate Summit held in Madrid. Many subjects were being discussed on the matter of a possible climate crisis, and how to face it.

Has Machine Learning (ML) and Natural Language Processing (NLP) something to say about it? Surprisingly, yes, it does!

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How to use Word Embeddings in real-life (Part II)

[fa icon="calendar'] Oct 1, 2021 6:19:58 PM / by Bitext

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While a lot of research has been devoted to analyzing the theoretical basis of word embeddings, not as much effort has gone towards examining the limitations of using them in production environments

(This article is the first of a series about word embeddings as the basis for user-facing text analysis applications.)

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