Ask HN: Would you like to build a meeting extractor together?

[kuro-kuris]

I have recently seen x.ai and I found meeting extraction an extremely interesting technical project for NLP. I would like to extract meetings from texts and return the place and time of a meeting.

I need help building a meeting classifier and the initial labeled data set to decide whether documents are meeting invitations or not. To parse the meetings seems a simpler problem but I think there's opportunities for some interesting models in this area as well.

To this end initially to build a meeting classification model I need some help extracting meeting proposals, I have decided to use the ENRON email data set and the leaked Hillary emails as an initial corpus to build my meeting classifier.

After having the meeting invitations I would like to extract and validate the times and places involved.

Get in touch if you are interested, email in profile! I think building the meeting corpus is the most time consuming part of the project my current strategy is to think about a list of relevant regex and get a subset of the emails I have based on these and hand mark these to build a labeled data set.

[sharemywin]

you know it's interesting would you consider "Hey, let's meet up at Joe's for lunch" a meeting?