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Writing code for NLP Research (Allen AI)

January 9, 2019January 9, 2019 by admin

https://github.com/allenai/writing-code-for-nlp-research-emnlp2018/blob/master/writing_code_for_nlp_research.pdf

Categories nlp Tags nlp
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Deep Learning for NLP Best Practices (Sebastian Ruder)
Text vectorization tool to outperform TFIDF for classification tasks

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mxlearnML @ REDDIT@mxlearn·
7h

[P] SpeedTorch. 4x faster pinned CPU -> GPU data transfer than Pytorch pinned CPU tensors, and 110x faster GPU -> CPU transfer. Augment parameter size by hosting on CPU. Use non sparse optimizers (Adadelta, Adamax, RMSprop, Rprop, etc.) for sparse… https://t.co/ag1E2EnJOf

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tpopeTim Pope@tpope·
14 Sep

when people ask me to recommend a text editor

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seb_ruderSebastian Ruder@seb_ruder·
18h

The slides of all talks from the NLP session at @DeepIndaba are now online, featuring talks from @RichardSocher @sgouws @alienelf @vukosi @HermanKamper @negamuhia & me
https://t.co/70QXI4himn

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arxiv_csclarXiv CS-CL@arxiv_cscl·
15 Sep

Learning Alignment for Multimodal Emotion Recognition from Speech https://t.co/kkAFMq7g8u

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arxiv_csclarXiv CS-CL@arxiv_cscl·
13 Sep

UER: An Open-Source Toolkit for Pre-training Models https://t.co/4vrqLf2iNt

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