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natural-language-processing

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Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.

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transformers

huggingface / transformers

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Raise exceptions instead of using assertions for control flow

10
willfrey
willfrey commented Jul 19, 2021

https://github.com/huggingface/transformers/blob/546dc24e0883e5e9f5eb06ec8060e3e6ccc5f6d7/src/transformers/models/gpt2/modeling_gpt2.py#L698

Assertions can't be relied upon for control flow because they can be disabled, as per the following:

$ python --help
usage: python [option] ... [-c cmd | -m mod | file | -] [arg] ...
...
-O     : remove assert and __debug__-dependent statem
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rasa

RasaHQ / rasa

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💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

nlp bot machine-learning natural-language-processing bots botkit chatbot bot-framework nlu spacy mitie chatbots machine-learning-library wit rasa conversational-agents conversational-bots chatbots-framework conversational-ai conversation-driven-development
  • Updated Sep 24, 2021
  • Python

allenai / allennlp

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Accept compressed files as input to `predict` when using a `Predictor`

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danieldeutsch
danieldeutsch commented Jun 2, 2021

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

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nltk / nltk

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One-shot BLEU-[2, 3, 4] computation

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marco-roberti
marco-roberti commented Jun 15, 2019

Hello everyone,

I need to compute the BLEU score with more than one ngram length (ideally, BLEU2, BLEU3, BLEU4, and BLEU5). In my case, this is a very long task, as every hypothesis has some thousand references.

Reading the implementation of the corpus_bleu function, which takes weights:Tuple between its parameters - and thus calculating BLEU-[len(weights)] - , I found out that it gets all t

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kmario23 / deep-learning-drizzle

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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization machine-translation deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition graph-neural-networks
  • Updated Sep 18, 2021
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Ciphey / Ciphey

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Created by Alan Turing

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