Your Customer Support Chatbot for Rasa is Ready
By Daniel Benito, Chief Product Officer at Bitext When implementing conversation flows for a chatbot, one of the most time-consuming tasks is...
Benchmark on Arabic Embeddings for Topic Modeling
The impact of lemmatization for morphologically-rich languages Abstract Are there ways to improve the performance of language models, beyond...
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...
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...
How to use Word Embeddings in real-life
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...
AI and Chatbots: How to design a great conversation?
The following practices will help you design a great conversation between your chatbots and your clients: Transparency Avoid using an excess of...
NLP for Arabic – The case of lemmatization
Arabic is a complex language for NLP tasks, even for simple ones like lemmatization. There are several reasons for this: Arabic creates words based...
What is the difference between stemming and lemmatization?
Stemming and lemmatization are methods used by search engines and chatbots to analyze the meaning behind a word. Stemming uses the stem of the word,...
Synthetic Text: the moment for enterprise applications is now
Leveraging technology that generates text is coming to the main theaters and Forbes is the most recent one: “The Biggest Opportunity In Generative...
Benchmark on Amazon Lex
Check out how we improved Amazon Lex accuracy by 50%.
Chatbot Multilingual Synthetic Data
