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Update example part in docs (#304)
* Update example part in docs * Minor fix
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docs/examples.md

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* [bert](https://github.com/asyml/texar-pytorch/tree/master/examples/bert): Pre-trained BERT model for text representation
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* [gpt-2](https://github.com/asyml/texar-pytorch/tree/master/examples/gpt-2): Pre-trained OpenAI GPT-2 language model
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* [xlnet](https://github.com/asyml/texar-pytorch/tree/master/examples/xlnet): Pre-trained XLNet model for text representation
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* [vae_text](https://github.com/asyml/texar-pytorch/tree/master/examples/vae_text): VAE with a transformer decoder for improved language modeling
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### Variational Autoencoder (VAE) ###
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* [vae_text](https://github.com/asyml/texar-pytorch/tree/master/examples/vae_text): VAE language model
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### Classifier / Sequence Prediction ###
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* [bert](https://github.com/asyml/texar-pytorch/tree/master/examples/bert): Pre-trained BERT model for text representation
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* [sentence_classifier](https://github.com/asyml/texar-pytorch/tree/master/examples/sentence_classifier): Basic CNN-based sentence classifier
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* [xlnet](https://github.com/asyml/texar-pytorch/tree/master/examples/xlnet): Pre-trained XLNet model for text representation
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### Language Modeling ###
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* [gpt-2](https://github.com/asyml/texar-pytorch/tree/master/examples/gpt-2): Pre-trained OpenAI GPT-2 language model
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* [vae_text](https://github.com/asyml/texar-pytorch/tree/master/examples/vae_text): VAE language model
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* [xlnet](https://github.com/asyml/texar-pytorch/tree/master/examples/xlnet): Pre-trained XLNet language model
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### Machine Translation ###
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### Classification ###
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* [bert](https://github.com/asyml/texar-pytorch/tree/master/examples/bert): Pre-trained BERT model for text representation
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* [sentence_classifier](https://github.com/asyml/texar-pytorch/tree/master/examples/sentence_classifier): Basic CNN-based sentence classifier
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* [xlnet](https://github.com/asyml/texar-pytorch/tree/master/examples/xlnet): Pre-trained XLNet model for text representation

docs/spelling_wordlist.txt

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wordpiece
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unigram
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TF
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Autoencoder

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