Reproduce the "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" paper

[cosmozhang]

Hi Dear Xuezhe,
I am trying to reproduce the results in your paper "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF". Are all the hyper-parameters pre-set in the code? Any special attention I need to pay when running your code in order to reproduce it?
Thank you!

[XuezheMax]

Hi Xiao, Thanks for your interests in our work. Basically, the provided script run_ner_crf.sh includes all the hyper-parameters to reproduce the results. What you need to do is to setup the data and word embedding. BTW, since there is some randomness in this training procedure, the results are not always above 91% of F1 score. But you can always expect 90%+ F1 scores.

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On Tue, Feb 27, 2018 at 11:19 AM, Xiao Zhang ***@***.***> wrote: Hi Dear Xuezhe, I am trying to reproduce the results in your paper "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF". Are all the hyper-parameters pre-set in the code? Any special attention I need to pay when running your code in order to reproduce it? Thank you! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#8>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADUtlpKKDMt8GwLWM1F7XBgtSO43iMDiks5tZCsPgaJpZM4SVOKP> .

-- ------------------ Best regards, Ma，Xuezhe Language Technologies Institute, School of Computer Science, Carnegie Mellon University Tel: +1 206-512-5977

[cosmozhang]

Thank you for reply! I just set it up last night and got 89.95~. That is why I am asking. :)

[XuezheMax]

Ohhhh. That is a little bit wired. :)

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On Tue, Feb 27, 2018 at 2:37 PM, Xiao Zhang ***@***.***> wrote: Thank you for reply! I just set it up last night and got 89.95~. That is why I am asking. :) — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#8 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ADUtlmvvR1j8uoXNrQvJr_tPitwn4H4Sks5tZFlngaJpZM4SVOKP> .

-- ------------------ Best regards, Ma，Xuezhe Language Technologies Institute, School of Computer Science, Carnegie Mellon University Tel: +1 206-512-5977