A curated list of pretrained sentence and word embedding models

Compute Sentence Embeddings Fast!

Using pre trained word embeddings (Fasttext, Word2Vec)

Code for "Effective Dimensionality Reduction for Word Embeddings".

Dict2vec is a framework to learn word embeddings using lexical dictionaries.

Facebook fastText database in SQLite with Go API

👚 Speedy Word Embedding Association Test & Extras using R

Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )

Bi-Directional Attention Flow for Machine Comprehensions

股市新聞信息與過去股價作為預測股價特徵時應提取文章數量及方法

The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language processing, our model achieved a high accuracy of 96.61%. The model was trained on Twitter data and tested on a data comment dataset from Binance.

Wrapper of Gensim word2vec along with T-SNE visualization

My PhD thesis with all its source files, including all .tex files and images created, as well as the slides of my defense.

We have implemented, expanded and reviewed the paper “Sense2Vec - A Fast and Accurate Method For Word Sense Disambiguation In Neural Word Embeddings" by Andrew Trask, Phil Michalak and John Liu.

Data Mining Lab Session 2 (Fall 2017)

This is final project of Information Retrieval course which is implementation of a search engine