# SiameseBERT-Notebook

**Repository Path**: coracoding/SiameseBERT-Notebook

## Basic Information

- **Project Name**: SiameseBERT-Notebook
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-24
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# SiameseBERT-Notebook
Quick semantic search using Siamese-BERT encodings

The SiameseBERT-SemanticSearch.ipynb Google Colab Notebook illustrates using the Sentence Transformer python library to quickly create BERT embeddings for sentences and perform fast semantic searches.

The Sentence Transformer library is available on [pypi](https://pypi.org/project/sentence-transformers/) and [github](https://github.com/UKPLab/sentence-transformers). The library implements code from the ACL 2019 paper entitled "[Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://www.aclweb.org/anthology/D19-1410.pdf)" by Nils Reimers and Iryna Gurevych.

To cite the original ACL paper:
``` 
@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}
```