Tag Archives: Natural Language Datasets

TADSummit Asia Wrap-up. TADSummit EMEA Americas Launch.

That’s a wrap on TADSummit Asia 2020. Through the month of May we’ve created an important milestone by documenting the status, latest thinking and best practices in Programmable Communications / Telecoms (CXTech). Thank you to our sponsors for making TADSummit Asia 2020 possible:  Sangoma, Asterisk, VoIP Innovations (Apidaze), and TeleSign. Thank you to every one of the presenters and panelists … Continue reading TADSummit Asia Wrap-up. TADSummit EMEA Americas Launch. →

The Anatomy of a Small Scale Question Classification Engine by David Curran

The Anatomy of a Small Scale Question Classification Engine by David Curran, Machine Learning Engineer, Openjaw Technologies Another great presentation on chatbots with a focus on question classification and practical issues of deploying chatbots in China. Great review of the approach to classifying questions for a chatbot to determine the intents of customers. Think of … Continue reading The Anatomy of a Small Scale Question Classification Engine by David Curran →

How to improve Natural Language Datasets by David Curran

How to improve Natural Language Datasets.  David Curran, Machine Learning Engineer at OpenJaw Technologies. You can follow along this clean-up of the natural language data set here: https://github.com/cavedave/datacleanup. In many chatbot projects the basics of good input data are skipped through, rather focusing on the ‘intellectual’ pursuit of funky machine learning models and algorithms. It’s the … Continue reading How to improve Natural Language Datasets by David Curran →