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 ..read more

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 ..read more

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

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 ..read more

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 ..read more

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 ..read more

This post dives into one of the topics of a previous post "How to Make Machine Learning more effective using Linguistic Analysis". We referred to the strong points of Machine Learning technology for insight extraction. We also stated that text analysis is not the area where machine learning shines the most. Here we go into some detail on this last statement ..read more

Text analysis is becoming a pervasive task in many business areas. Machine Learning is the most common approach used in text analysis, and is based on statistical and mathematical models.  ..read more

Everything looks promising in the world of bots: big players are pushing platforms to build them (Google, Amazon, Facebook, Microsoft, IBM, Apple), large retail companies are adopting them (Starbucks, Domino’s, British Airways), press is excited about movies becoming reality; and we users are eager to use. However, one dark hole remains in this scenario. The bot development process ..read more

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 is becoming mainstream already, and the next step is synthetic unstructured text. Synthetic unstructured text supports more complex cases, where actual text in the form of full sentences or documents is required ..read more