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