C++ implementation of the paper "Segmentation-free compositional n-gram embedding". NAACL-HLT2019.
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Updated
Jun 10, 2019 - C++
C++ implementation of the paper "Segmentation-free compositional n-gram embedding". NAACL-HLT2019.
EmbedRank implemented in Python.
This repository contains various ways to calculate sentence vector similarity using NLP models
Official implementation for paper "Learning Discrete Sentence Representations via Construction & Decomposition".
Paraphrase Generation model using pair-wise discriminator loss
CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning
[NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models
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.
Kirli veri çekildiğinde ön işleme adımlarına gerek kalmadan model eğitimi için hazır hale getirmek amacıyla yapılan uygulamadır.
Difference-based Contrastive Learning for Korean Sentence Embeddings
Run sentence-transformers (SBERT) compatible models in Node.js or browser.
Finding of ACL2023: Clustering-Aware Negative Sampling for Unsupervised Sentence Representation
A project aiming to leverage text embeddings and Milvus, a high-performance vector search engine, to detect duplicate job postings.
Korean Sentence Embedding Repository
Benchmark for Thai sentence representation
An application that scrapes text data from subreddits and visualise sentiments and text patterns
🚀 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!
HASHET (HAshtag recommendation using Sentence-to-Hashtag Embedding Translation) is a model aimed at suggesting a relevant set of hashtags for a given post.
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