Photo by Jamie Street on Unsplash

Chatbots Need Contextual Entities Which Can Be Decomposed

Because In General Speech We Use Nested Entities & Sub-Types

Introduction

Detecting entities which are embedded within user utterances remains a challenge. Especially should you want to capture the entities via unstructured methods and truly conversational.

--

--

--

NLP/NLU, Chatbots, Voice, Conversational UI/UX, CX Designer, Developer, Ubiquitous User Interfaces. www.cobusgreyling.me

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Fastai Training metrics as Notification on mobile

Research Papers based on Named Entity Recognition part1(Natural Language Processing)

AI: Build Your First Machine Learning Model(Part 1 of 2)

A In-Depth Look at SinGAN

Understanding Bayesian Optimization part 2(AI + Statistics)

MLOPS-MACHINE LEARNING ON DEVOPS Project to automate machine learning model training using…

10 Trends in AI Landscape -2020

Solar Panel Detection with Faster RCNN 🛰️🌎🤖

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Cobus Greyling

Cobus Greyling

NLP/NLU, Chatbots, Voice, Conversational UI/UX, CX Designer, Developer, Ubiquitous User Interfaces. www.cobusgreyling.me

More from Medium

The Conversational AI Landscape & HumanFirst

Dialogflow CX: Everything You Need to Know About Google’s AI-Powered Chatbot Platform

Two minutes NLP — Popular NLP Benchmarks [Part 1]

Barge-in for Voice Assistants and Voice IVRs