Computing (and experimenting with) sentence embeddings in Python

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Three different methods namely TFIDF, word average embedding method and inverse document frequency method were used to build a text matching system. The systems were tested on the first 100 questions which were duplicate. A maximum accuracy score of 77% and 67% in top5 and top 2 matches was obtained using average word model.

Find words based on their approximate definition. Wiktionary & Sentence embeddings

个人的 NLP 算法实验库和笔记库

Tensorflow implementation of the model presented in Enhancing Sentence Embedding with Generalized Pooling

Comparison of sentence embedding models for Finnish

Spanish Sentence Embeddings computed from large corpora using sent2vec.

This repository contains the code, models and corpus of the project "Generative Adversarial Networks for Text-to-Image Synthesis & Generation: A Comparative Analysis of Natural Language Processing models for the Spanish language".

Krunt, to be a krunt or not to be a krunt.

Code for EMNLP paper `Sentence Representation Learning with Generative Objective rather than Contrastive Objective`

This project explores the use of glove embedding to improve twitter sentiment classification performance - AI534 class

State-of-the-Art Ember embedding model for retrieval augmented generation

Text representation works, such as : paper, code, review, datasets, blogs, thesis and so on.

😜Constrative Learning of Sentence Embedding using LoRA (EECS487 final project)

A corpus that can be used to train English-to-Italian End-to-End Speech-to-Text Machine Translation models

RecurrentGPT (unofficial)

Sentence Embeddings with BERT & XLNet

Extract Molecular SMILES embeddings from language models pre-trained with various objectives architectures.