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)
Dict2vec is a framework to learn word embeddings using lexical dictionaries.
Code for "Effective Dimensionality Reduction for Word Embeddings".
Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )
Bi-Directional Attention Flow for Machine Comprehensions
Wrapper of Gensim word2vec along with T-SNE visualization
2021 Ajou University Spring SW capstone design - FindU NLP (Winning the gold prize 2021 College Student Paper Contest of DCS)
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
A neural networks project that categorizes different poems in the dataset according to their genre
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.
'AI Hiphop lyrics Generator🎙' project which makes hiphop lyrics based on a few user's keywords liks 'love', 'money'.
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.
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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