Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
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Updated
May 29, 2024 - Python
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
This repository contains various ways to calculate sentence vector similarity using NLP models
Korean Sentence Embedding Repository
Paraphrase Generation model using pair-wise discriminator loss
Difference-based Contrastive Learning for Korean Sentence Embeddings
EmbedRank implemented in Python.
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.
Official implementation for paper "Learning Discrete Sentence Representations via Construction & Decomposition".
Finding of ACL2023: Clustering-Aware Negative Sampling for Unsupervised Sentence Representation
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