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Knowledge Graph Generation for Financial Databases

Knowledge Graph Generation for Financial Databases

People who use financial databases are aware of the hardships of ensuring information is structured and legible. Don’t worry! Knowledge graphs are...

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Evaluate the Quality of your Chatbots and Conversational Agents

Evaluate the Quality of your Chatbots and Conversational Agents

It is always important to evaluate the quality of your chatbots and conversational agents in order to know the its real health, accuracy and...

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Synthetic Training  Data for Chatbots

Synthetic Training Data for Chatbots

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...

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

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

Two concepts, one mission: to make machines understand humans. Natural Language Processing (NLP) and Machine Learning (ML) are all the rage right...

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What is Sentiment Analysis and How Does it Work?

What is Sentiment Analysis and How Does it Work?

Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language...

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Decompounding German, Korean and More: a ‘Gesamt + Kunst + Werk’

Decompounding German, Korean and More: a ‘Gesamt + Kunst + Werk’

It’s a true story that Germans love their long words. However, this fact may not be so loved for text processing procedures. The lack of NLP...

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Speed Up Your Bot Training with Artificial Data

Speed Up Your Bot Training with Artificial Data

If you want your chatbot to recognize a specific intent, you need to provide it with a large number of sentences that express that intent. That...

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Main Challenges for Word Embeddings: Part II

Main Challenges for Word Embeddings: Part II

The use of word embeddings has become the standard approach for dealing with text input in AI models. While an extensive research has been carried...

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Main Challenges for Word Embeddings: Part I

Main Challenges for Word Embeddings: Part I

In recent years, word embeddings have become the de facto input layer for virtually all AI-based NLP tasks. While they have undoubtedly allowed...

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Siri Speaking Arabic: What Is Failing?

Siri Speaking Arabic: What Is Failing?

Almost three years after Apple launched its well-known voice assistant Siri for the Arabic language, there is still room for further improvement....

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Artificial training data: how to speed up your bot training

Artificial training data: how to speed up your bot training

Bots built upon machine learning need long training processes to have the ability to hold a meaningful conversations with real people. Training data...

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Improving Rasa’s results by 30% with artificial training data: Part II

Improving Rasa’s results by 30% with artificial training data: Part II

Increasing bot accuracy has never been so easy. How? Generating artificial training data, not manually, but using auto-generated query...

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