Artificial intelligence

A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection Artificial Intelligence Review The pipeline integrates modules for basic NLP processing as well as more advanced tasks such as cross-lingual named entity linking, semantic role labeling and time normalization. Thus, the cross-lingual framework allows for the interpretation of events, participants, locations, and time, as well as the relations between them. Output of these individual pipelines is intended to be used as…

How Much Data Do You Need To Train A Chatbot and Where To Find It? by Chris Knight Multilingual datasets are composed of texts written in different languages. Multilingually encoded corpora are a critical resource for many Natural Language Processing research projects that require large amounts of annotated text (e.g., machine translation). Chatbots’ fast response times benefit those who want a quick answer to something without having to wait for long periods for human assistance; that’s handy! This is especially…