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Bitext mentioned in 4 Gartner Hype Cycle Reports in 2019

Bitext mentioned in 4 Gartner Hype Cycle Reports in 2019

Aug 5, 2019 | AI, Chatbots, Machine Learning, NLP, NLU, Synthetic data

When searching for innovative solutions, it is crucial for leaders and decision makers to have the information that allows them to make informed decisions.  Bitext is currently at the forefront of technology since it has been mentioned lately in no less than 20...
Knowledge Graph Generation for Financial Databases

Knowledge Graph Generation for Financial Databases

Jul 8, 2019 | AI, Lemmatization, NLP, Synthetic data

People who use financial databases are aware of the hardships of ensuring information is structured and legible. Don’t worry! Knowledge graphs are here to help. Data volume, nowadays, continues to grow uncontrolled and those datasets are hard to process and draw...
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...
Synthetic Training  Data for Chatbots

Synthetic Training Data for Chatbots

Jun 14, 2019 | Chatbots, conversational, Lemmatization, NLP, Synthetic data, text analysis

What is Training Data? 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…...
Natural Language Processing (NLP) and Machine Learning (ML)

Natural Language Processing (NLP) and Machine Learning (ML)

Apr 17, 2019 | AI, deep learning, Lemmatization, Machine Learning, NLP, Synthetic data, text analysis

Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right now as techniques that complement each other rather than as NLP vs ML In this post,  we will focus on NLP and how it works...
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