AI Linguistics covers a number of related rubrics, including the AI behind the processing of speech, comprehension of written text (the next stage of optical character recognition), natural language processing, production of synthetic speech, chatbots and smart agents such as Siri or Alexa.
Introduction One of the most useful applications of NLP technology is information extraction from unstructured texts contracts, financial documents, healthcare records, etc. that… Read More »How to Train a Joint Entities and Relation Extraction Classifier using BERT Transformer with spaCy 3
In this blog, we shall discuss about how to build a neural network to translate from English to German. This problem appeared as the Capstone… Read More »Neural Translation – Machine Translation with Neural Nets with Keras / Python
Why Question-Answering Engines? The search only for documents is outdated. Users who have already adopted a question-answering (QA) approach with their personal devices, e.g., those… Read More »Question Answering based on Knowledge Graphs
Artificial Intelligence (AI) chatbots are now integral to communication strategies in most organizations. They’ve become a human alternative for common query resolutions. But why? They… Read More »AI Chatbots: What to Expect When You Use Them
Tracing back to the early stage of human race where only hand gestures were used to communicate, we have come a long way where we… Read More »Natural Language Processing in Chatbots
Communications Technology has faced unexceptional change during the last decade. Talking about the year 2020, it has set a new benchmark for the new generation… Read More »How AI is taking Voice beyond Telephony
Summary: Objectively identifying hateful or abusive speech on social media platforms would allow those platforms to better control it. However to be objective and without… Read More »Targeting Hate Speech
© 2020 by Radna Intellectual Ventures, LLC. “Artificial Intelligence began with an ancient wish to forge the Gods.” In the singular words of Pamela McCorduck, Artificial… Read More »The VC's Guide to Machine Learning
Summary: Now that you have a little time for introspection, how about reviewing the performance of your chatbots. Chances are this lock down period has… Read More »Time for a Chatbot Tune-Up
In the previous part, we started to outline what ontologies are and how they may be used; now it is time to get into more… Read More »Ontologies and Semantic Annotation. Part 2: Developing an Ontology
