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a Fairseq fork for sequence tagging/labeling tasks

License: MIT License

Python 97.05% C++ 0.81% Cuda 1.87% Shell 0.05% Lua 0.22%
nlp nlp-machine-learning fairseq machine-learning sequence-labeling named ner labeling-tasks prediction pos-tagging

fairseq-tagging's Issues

What are the major changes that were made?

Hi @Mohammadkhalifa

First of all, I want to thanks a lot for this awesome project. I have been meaning to get fairseq to do sequence tagging for the past few days. I was just trying to understand how I could do that, when I came across your project. I would like to contribute to the project in any way, if I can.

At a more general level, would you be able to explain what were the major changes that you made. I am trying to understand whether it would be possible to incorporate any downstream changes from fairseq or how hard would it be.

Specifically, can we implement simple models like BiLSTM-CRF using this? I saw that on the TO-DO list in the Read me, which means you have it in the pipeline. I could possible help you with that. Also, I was wondering whether we could make it such that we specify a generic encoder (transformer or LSTM) and whether or not we need a CRF layer on top of it to perform sequence tagging.

My personal aim is to also modify it to do multi task learning. I am hoping that the experience I gain doing this will help me with that as well.

Thanks

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