arpa
Style-Transfer-in-Text
arpa | Style-Transfer-in-Text | |
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- | 3 | |
- | 1,580 | |
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- | 1.2 | |
- | about 1 year ago | |
BSD 3-clause "New" or "Revised" License | - |
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arpa
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Style-Transfer-in-Text
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Suggestions on Cool NLP Projects!
I've been working on a way to train GPT-2 with HuggingFace Transformers (using aitextgen) to write short stories trained on public domain authors! I've been planning to look through these style transfer resources if you're interested.
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Training GPT-2 with HuggingFace Transformers to sound like a certain author
Check out the "Stylistic Related Papers" and especially the "Controlled Text Generation" sections of this Github papers list -- sounds like a similar problem to what you're thinking of.
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Something like style transfer for language processing?
There's been quite a bit of work on extending the same concept to text, with "style" often being used to refer to aspects like sentiment/aspect. https://github.com/fuzhenxin/Style-Transfer-in-Text is a good collection of recent work in NLP in this area. Specifically for authorial style, I'm aware of this recent one. Also relevant might be earlier work on author obfuscation and imitation.
What are some alternatives?
crf-chain2-tiers - Second-order, tiered, constrained, linear conditional random fields
gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
PTQ - An implementation of Montague's PTQ (Proper Treatment of Quantification).
Speech-Separation-Paper-Tutorial - A must-read paper for speech separation based on neural networks
minimorph - English spelling functions with an emphasis on simplicity. Originally by https://github.com/kowey.
Neural-Style-Transfer-Papers - :pencil2: Neural Style Transfer: A Review
haskell-postal - Haskell binding for the libpostal library
awesome-refreshing-llms - EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.
phonetic-code - phonetic codes in Haskell
chatter - A library of Natural Language Processing algorithms for Haskell.
nerf - Named entity recognition tool based on linear-chain CRFs
corenlp-parser - Launches CoreNLP and parses the JSON output