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Compared to other deep learning based NER models, tagger.predict() appears to be slow. It took around 70 seconds to parse a string with 455 tokens.
Upon running line profiler, it seems all the tim…
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~~Providing AMI is a good idea to ease deployment for some users.~~
~~Related links of interest:~~
~~- Deprecated Caffe AMI: https://github.com/BVLC/caffe/wiki/Ubuntu-14.04-ec2-instance~~
~~- New…
beniz updated
5 years ago
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I have several embeddings matrices, lets say E1 matrix is for Glove and E2 is for Word2vec.
I would like to build a simple sentiment classifier which takes trainable weighted sum of this embeddings.
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Hi, I'm trying to train a classifier with your method. I've cloned your repository, created a virtualenv, and installed all the packages required to run your classifier.
The results of my `pip freez…
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I see `ImageClassifier` in the doc. Is there something like `TextClassifier` to process text?
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https://github.com/tensorflow/hub/blob/master/examples/colab/text_classification_with_tf_hub_on_kaggle.ipynb
I want to write `serving_input_receiver_fn` for this task, and want to predict the senti…
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Hello. I'm trying to use doc2vec algorithm in [07_Natural_Language_Processing/07_Sentiment_Analysis_With_Doc2Vec/07_sentiment_with_doc2vec.py.](https://github.com/nfmcclure/tensorflow_cookbook/tree/ma…
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# Crash description and steps to reproduce
When trying to run the CoreNLP server inside a docker container using the Dockerfile available in my PR to https://github.com/vineetvermait/corenlp-docker/p…
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Dear Kevincobain,
First I am very much thankful to you for posting the step by step process to classify the Japan Sentiments.
I tried to replicate the same as you have done.
I used below code of you…
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I tried to run a modified version of the example given in [Adding a text classifier to a spaCy model](https://spacy.io/usage/training#example-textcat) with a GPU to speed up training. The original [so…