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

Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.

Finding of ACL2023: Clustering-Aware Negative Sampling for Unsupervised Sentence Representation

🚀 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!

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.

学习openvino，探索在bert加速上的应用

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

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.

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

EmbedRank implemented in Python.

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

Difference-based Contrastive Learning for Korean Sentence Embeddings

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

Paraphrase Generation model using pair-wise discriminator loss

Benchmark for Thai sentence representation

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