UPDATE from Dec 22, 2016: Since the original publication of this article there have been some significant market updates which need to be considered. Google bought Api.ai and also released their own home-baked Cloud Natural Language API, Amazon introduced Amazon Lex – conversational API and Wit.ai is updating their Stories and making them even better.
Recent announcements of a bot framework for Skype from Microsoft and a Messaging Platform for Messenger from Facebook have transformed chat through a new platform. More and more developers are coming up with the idea to make their own bot for Slack, Telegram, Skype, Kik, Messenger and, probably, several other platforms that might pop up over the next couple of months.
Thus, we have a rising interest in the under-explored potential of making smart bots with AI capabilities and conversational human-computer interaction as the main paradigm.
In order to build a good conversational interface we need to look beyond a simple search by a substring or regular expressions that we usually use while dealing with strings.
The task of understanding spoken language and free text conversation in plain English is not as straightforward as it might seem at first glance.
Below we look at a possible dialogue structure and demonstrate how to understand the concepts behind advanced natural language processing tools. We also focus on the platforms that we can use for our bots today, including the API – LUIS from Microsoft, Wit.ai from Facebook, Api.ai from
Assistant team Google, Watson from IBM and Alexa Skill Set, and Lex from Amazon.
Ready to build a conversational bot for your business, but confused with the variety of platforms? Let’s talk!
A Dialogue Example
Let’s look at the ways we can ask a system to find ‘asian food near me.’ The variety of search phrases and utterances could look similar to this:
- Asian food near me please
- Food delivery place not far from here
- Thai restaurants in my neighborhood
- Indian restaurant nearby
- Sushi express places please
- Places with asian cuisine
But if we are curious enough, we can also ask Google Keyword Planner for other related ideas and extend our list by about 800 phrases related to the search term “asian food near me”. We use Keyword Planner for such tasks here because it is a great source of aggregated searches that users regularly perform in Google.