semantic-text-similarity

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JohnGiorgi / DeCLUTR

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

natural-language-processing transformers pytorch metric-learning representation-learning semantic-search sentence-similarity sentence-embeddings allennlp self-supervised-learning contrastive-learning semantic-text-similarity

Updated Apr 21, 2023
Python

Word embeddings are very useful representations of words that can represent semantic information. This project trains some Word2Vec embeddings, uses RoBERTa (and other embeddings) for semantic text similarity and also does text classifcation

nlp text-classification word2vec roberta semantic-text-similarity

Updated Jun 5, 2024
Jupyter Notebook

AnaghaVinayakKamat / Embeddings_based_STS_using_LIME_XAI

Star

Obtaining semantic text similarity using advanced Sentence Transformers. Inducing LIME Explainable AI to provide clear visual insights into model predictions and identifying ambiguity errors.

nlp machine-learning ai sts cosine-similarity nlp-machine-learning lime explainable-ai xai explainability semantic-text-similarity

Updated Sep 23, 2023
Jupyter Notebook

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