Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

Korean Sentence Embedding Repository

This repository contains various ways to calculate sentence vector similarity using NLP models

Benchmark for Thai sentence representation

Paraphrase Generation model using pair-wise discriminator loss

All-in-One: Text Embedding, Retrieval, Reranking and RAG

Difference-based Contrastive Learning for Korean Sentence Embeddings

Run sentence-transformers (SBERT) compatible models in Node.js or browser.

EmbedRank implemented in Python.

[NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models

CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning

HASHET (HAshtag recommendation using Sentence-to-Hashtag Embedding Translation) is a model aimed at suggesting a relevant set of hashtags for a given post.

A project aiming to leverage text embeddings and Milvus, a high-performance vector search engine, to detect duplicate job postings.

学习openvino，探索在bert加速上的应用

Scripts, data, and results from the "Through time with BERT" project, which evaluated and examined the extent to which English tenses are represented in BERT's raw sentence embeddings.

Official implementation for paper "Learning Discrete Sentence Representations via Construction & Decomposition".

C++ implementation of the paper "Segmentation-free compositional n-gram embedding". NAACL-HLT2019.

🚀 EASE-ReD: Ethnicity Analysis and Sentence Embedding from Restaurant Distribution. Predicting ethnicity distribution in an area based on its restaurants data. Cleaning the data using sentence embeddings!

An application that scrapes text data from subreddits and visualise sentiments and text patterns