jpwahle/emnlp23-paraphrase-types
The official implementation of the EMNLP 2023 paper "Paraphrase Types for Generation and Detection"
This project helps natural language processing (NLP) researchers and engineers fine-tune models to generate or detect paraphrases based on specific linguistic types. You can input existing text data and specify desired paraphrase types, and it will output either new paraphrased text or an assessment of whether two texts are paraphrases. It's designed for those working with large language models to refine text generation and understanding.
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Use this if you need to fine-tune large language models (like LLaMA or GPT) for nuanced paraphrase generation or detection, considering the specific linguistic changes between sentences.
Not ideal if you are looking for a simple, off-the-shelf tool for basic paraphrasing without needing to delve into model fine-tuning or specific paraphrase type control.
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Language
Python
License
Apache-2.0
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Last pushed
Oct 20, 2024
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