devjwsong/dialogue-sentence-bert-pytorch
DialogueSentenceBERT: SentenceBERT for More Representative Utterance Embedding via Pre-training on Dialogue Corpus
This project helps create specialized AI models that understand spoken or written conversations more accurately. It takes a large collection of dialogue data and generates highly representative utterance embeddings. This is useful for anyone building conversational AI systems like chatbots or virtual assistants.
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Use this if you need to train a model to precisely interpret user intent or predict the next best system response in a dialogue.
Not ideal if your task doesn't involve understanding the nuance of conversational utterances, such as general text classification or document retrieval.
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Python
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MIT
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Last pushed
Jan 21, 2022
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