Here’s Why Developing Natural Language Interface Is Hard

In this article, I would like to show why NLI (Natural Language Interface) is often so hard to do. To illustrate this idea I’ll use a semi-trivial example to show that even for this simple use case the natural language interface presents a formidable problem to solve.

Any Chance of Rain?

For our example, let’s imagine we want to build (yet another) weather bot. Our bot will answer weather-related questions for a given city and a date range. It will also support past, present, and future (forecast) weather requests. Our goal is to support natural language interface to our bot as close to human cognition as possible, i.e. as if our users would be talking to a real human being — trying to achieve that elusive free-form natural language comprehension.

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