A curated list of pretrained sentence and word embedding models
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Updated
Apr 23, 2021 - Python
A curated list of pretrained sentence and word embedding models
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.
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
Wrapper of Gensim word2vec along with T-SNE visualization
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.
This is final project of Information Retrieval course which is implementation of a search engine
A neural networks project that categorizes different poems in the dataset according to their genre
In this project, the authors propose to use contextual Word2Vec model for understanding OOV (out of vocabulary). The OOV is extracted by using left-right entropy and point information entropy. They choose to use Word2Vec to construct the word vector space and CBOW (continuous bag of words) to obtain the contextual information of the words.
'AI Hiphop lyrics Generator🎙' project which makes hiphop lyrics based on a few user's keywords liks 'love', 'money'.
Polysemy Embedding - Iterative approach to address the sense based embedding
Labeled Word2Vec for Semi-Supervised Learning
Showcase of Natural Language Processing (NLP) on sentiment analysis of text in survey
Bengali Word Embedding by using Polygot2
Natural Language Understanding
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