Prepare DeezyMatch tutorial, LinkedPasts

Living-with-machines / DeezyMatch

A Flexible Deep Learning Approach to Fuzzy String Matching

https://living-with-machines.github.io/DeezyMatch/

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Prepare DeezyMatch tutorial, LinkedPasts #79

Closed kasra-hosseini closed 3 years ago

kasra-hosseini commented 3 years ago

Ideas:

[x] Run tutorials via Binder
[ ] Release model/datasets

kmcdono2 commented 3 years ago

@kasra-hosseini et al do we need any introductory prose about the utility of DeezyMatch that goes beyond the current abstract/paper text? If so, happy to start thinking about this next week.

In the mean time @mcollardanuy if you need help with preparing the abstract to submit for Linked Pasts just say the word. Is there a google doc where I can add potential participants? Once the abstract is ready, we could email Bruno Martins and Paty Murrieta Flores about offering comment on the two aspects e.g. matching and gaz construction.

mcollardanuy commented 3 years ago

I haven't done anything on this yet, I was planning to work on this on Thursday afternoon. But here's the new (empty) doc: https://docs.google.com/document/d/1kUJhoestVYged5gXfxS0fHeqZHkT_A1Q0pWnI_NRUs8/edit

kasra-hosseini commented 3 years ago

@kasra-hosseini et al do we need any introductory prose about the utility of DeezyMatch that goes beyond the current abstract/paper text? If so, happy to start thinking about this next week.

We tried to cover most of DeezyMatch utilities in the abstract/paper. What do you think @mcollardanuy @fedenanni ? Maybe we can also mention that the length of the input strings can be changed (although it has not been tested on any realistic dataset)?

kasra-hosseini commented 3 years ago

Add the link to the HackMD file here once it is ready. That file can be used to capture comments from the participants. @mcollardanuy @fedenanni @kmcdono2 What do you think? We can then either ask participants to make issues directly on the repo (preferred) or add them to the HackMD file.