Anaphora? I hardly knew her.

One of common requests for conversation is being able to understand the running topic of a conversation. For example: USER: Can I feed my goldfish peas? WATSON: Goldfish love peas, but make sure to remove the shells! USER: Should I boil them first? The second response “them” is called an “anaphora”. The “them” refers to the […]

Removing the confusion in intents.

While the complexity of building Conversation has reduced for non-developers, one of the areas that people can sometimes struggle is training intents. When trying to determine how the system performs, it is important to use tried and true methods of validation. If you go by someone just interacting with the system you can end up […]

I love Pandas!

Not the bamboo eating kind (but they are cute too), Python Pandas! But first… Conversation has a new feature! Logging!  You can now download your logs from your conversation workspace into a JSON format. So I thought I’d take this moment to introduce Pandas. Some people love the “Improve” UI, but personally I like being able to […]

Watson in the black and white room.

Let’s talk about the recent changes of how Watson determines it’s confidence. It seems to be a hot topic at the moment, and probably not best understood.   Before:  Imagine that you are Watson, you are in a room with no doors or windows. You have learned everything about the world from Wikipedia. There is […]

Compound Questions

One problem that is tricky to solve is if a user has asked two questions. Previously some solutions were to look for conjunctions (“and”) or question marks. Then try to guess if it is a question. But you could end up with a question like “Has my dog been around other dogs and other people?”. This […]

Improving your Intents with Entities.

You might notice that when you update your entities that Conversation says “Watson is training on your recent changes”. What is happening is that Intents and Entities work together in the NLU engine. So it is possible to build entities that can be referenced within your intents. Something similar to how Dialog entities. Work. For […]

Prioritizing Intents

A common question that comes up is how to handle where the end user makes two utterances, but you only want to take action on one. The most common being someone saying hello, versus saying hello with a question. You would want the question to take priority. It’s very easy to do. You just do […]

Conversing in three dimensions.

There is one feature of Conversation that many people don’t even factor in when creating a conversational system. Let’s take the standard plan to spell it out. Unlimited API queries/month Up to 20 workspaces Up to 2000 intents Shared public cloud Yep, you have 20 workspaces to play with! Most people starting off just use […]

Message shaping

While the cognitive ability of Conversation is what sets it apart from other chat bots, the skills in message shaping can even the odds. It is a common technique used in customer support when you need to give a hard message. From a Conversation point of view, it allows you to dramatically reduce the level […]