isminoula / textnormseq2seq Goto Github PK
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License: Other
Code and model files for paper: I. Lourentzou et al., Adapting Sequence to Sequence models for Text Normalization in Social Media", ICWSM'19
License: Other
The repo is empty. Please find some time to upload the code.
Thanks
I have run with the LexNorm2015 dataset in the paper Adapting Sequence to Sequence Models for Text Normalization in Social Media
See that numbers seem to be copied from input to targer
But I tried to find out where you used that function in the repos but couldn't find it, can you explain it to me, did you not update the repos near line 47.48 in / lib / trainer /evalutor.py
Or, for punctuation, too, where does the paragraph handle the punctuation
Thank you and hope you will find an answer for me soon.
I have a stupid question, hope you explain it to me.
I have not understood how the two model words and characters combine in the predictive process to normalize sentences
TextNormSeq2Seq/lib/data/DataLoader.py
Line 97 in 2f3207e
TextNormSeq2Seq/lib/data/DataLoader.py
Line 109 in 2f3207e
As far as I understand, are NOISE cases (Training character-based model) also added to word_tweets, or how.
Tks
Hello,
As the title already indicates, the download link for the pretrained models needs an update.
Other question:
Are the hyperparams used for training the two models, which are suggested in the README, the ones you used to obtain the results stated in the paper?
best wishes,
Amon
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