Convert various pretrained word embeddings to .t7
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Updated
Jun 10, 2017 - Lua
Convert various pretrained word embeddings to .t7
Dependency based word embeddings
Learning to represent text using Word2Vec
Pre-trained Word Vector Models of 30+ Languages
[OUTDATED] A set of classes/scripts for NLP tasks focused on finance data
Python interface for building, loading, and using GloVe vectors.
Code resources for Central London Data Science Project Nights meetup on word vectors
Trying the random acts of pizza Kaggle challenge
Taking a stab at the Quora Question pairs Kaggle Challenge
A little game powered by word vectors
Word2Vec implementation in tensorflow
Word Vector Feature Creation
A chatbot developed to help FIB students. It uses NLP + Machine learning techniques such as sentence classification, or entity recognition (NER), along with a Deep Learning dialogue management model.
Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests
Construct a word2vec like model using matrix factorisation
This library provides functionality for rapidly sharing and retrieving word embeddings over the internet. (EMNLP 2017).
Yet another Python binding for fastText
Short Text Similarity as described in https://dl.acm.org/citation.cfm?id=2806475
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