Argument mining

Argument mining is like a game of "detective" where you try to find clues to solve a mystery. But instead of solving a mystery, argument mining is about finding clues in written text to understand what people are arguing about.

When people argue, they usually have a point they want to make and they give reasons to support it. Argument mining is about finding those reasons and putting them into categories to help us understand the argument.

Imagine you are playing with Legos. You have different kinds of Legos that you put together to make something cool. Argument mining is like sorting the Legos by color or shape to help you build your creation better.

So, when we do argument mining, we look at the words people use and try to find the different "Legos" that make up their argument. We sort them into categories like "reasons for", "arguments against", "assumptions", and "conclusions".

By doing this, we can understand the different parts of an argument and how they relate to each other. Just like with your Legos, if you know what you have and how they fit together, you can build something really cool with them!