3 ms·
As with most projects that deal with parsing natural language, it works best when optimized for your use case. For example, I created a natural language date pa
by guptaneil 13y ago
As with most projects that deal with parsing natural language, it works best when optimized for your use case. For example, I created a natural language date parsing library [https://github.com/Tabule/Sherlock https://github.com/Tabule/Sherlock] that is great at parsing events for entering into a calendar, but would fail if tested against an entire news article. The cool thing about knwl is that it is open-source and the code is very clean, meaning you can easily optimize it for your use case. Knwl lays the ground work for somebody to build a smarter parser into their app.
- c16 13y ago+ 1. I fully agree here, parsing for events data, parsing a news article or parsing tweets are all very different tasks and each one requires different optimizations. An interesting project regardless, I'll likely be using this in the near future.
- rdgiii 13y agoThis is what I immediately thought of. They've built a nice small library that can be used as a framework for something more detailed and involved, which is fantastic.