Meta-Guide.com

Notes:

• Distributional semantic model
• Distributed representation
• Neural word embedding
• Semantic vector space
• Vector space model
• Word vectors

Resources:

• eigenwords .. eigenword resource page
• gensim .. easy to build prototypes with various models
• glove .. an unsupervised learning algorithm for obtaining vector representations for words
• tensorflow word2vec tutorial .. used for learning vector representations of words, called “word embeddings”
• word2vec .. an implementation of the continuous bag-of-words (cbow) and the skip-gram model (sg)
• word2vec in java .. neural word embeddings in java and scala
• wordvectors.org .. you can upload the filtered vectors

Wikipedia:

• Distributional semantics
• Vector space model
• Word embedding
• Word2vec

See also:

100 Best Word2vec Videos | Word2vec & Dialog Systems 2016

[70x Dec 2017]

• Webinar on Word Embeddings | HackerEarth
• Data Mining Lab – Word Embeddings (Part 2)
• Data Mining Lab – Word Embeddings (Part 1)
• Word Sense Disambiguation on Linguistic Regularity and Classification Accuracy of Word Embeddings
• Use of word embedding algorithms and siamese recurrent neural networks
• Datageeks Data Day 2017 – Fabian Dill – Word Embeddings – Part 1 of 2
• Datageeks Data Day 2017 – Fabian Dill – Word Embeddings – Part 2 of 2
• Word Embeddings II
• ADLxMLDS Lecture 4: Word Embeddings (17/10/16 + 17/10/23)
• Debiasing Word Embeddings
• WORD EMBEDDINGS
• ADLxMLDS Lecture 4: Word Embeddings (17/10/19)
• Word Embeddings I
• Collaboratively Improving Topic Discovery and Word Embeddings
• Meetup #30 – Piero Molino: Word Embeddings – Past, Present and Future
• Big Data and Info Retrieval Lecture 5 (171012) – word embedding vis, RNNs
• Word Embedding Models (Lecture 7; October 4, 2017)
• Big Data and Info Retrieval Lecture 4 (170928) – word embedding
• Big Data and Info Retrieval Lecture 3 (170921) – topic modeling, word embedding
• Domain Specific Word Embedding for Cybersecurity Text by Roy Arpita
• Learning to Compute Word Embeddings On the Fly by Dzmitry Bahdanau
• Marco Bonzanini – Word Embeddings for Natural Language Processing in Python
• Word Embeddings for Natural Language Processing in Python – MARCO BONZANINI
• Dynamic Word Embeddings
• Lev Konstantinovskiy – Text similiarity with the next generation of word embeddings in Gensim
• Word Embeddings
• A tool kit for query the document, word embedding
• Marco Bonzanini – Word Embeddings for Natural Language Processing in Python
• Collaboratively Improving Topic Discovery and Word Embeddings
• June 20: practical AI workshop – Rachel Thomas, word embeddings and data biases
• Machine Learning Project 4: Gender Bias in Word Embeddings
• Word Embeddings, Bias in ML, Why You Don’t Like Math, & Why AI Needs You
• Learn how to say this word: “Embedding”
• ConceptVector: Building User-Driven Concepts via Word Embedding
• Piero Molino- Word Embeddings: History, Present and Future AIWTB 2017
• Lev Konstantinovskiy – Next generation of word embeddings in Gensim
• Text Similarity Based on Word Embeddings, Syntax Trees
• What is WORD EMBEDDING? What does WORD EMBEDDING mean? WORD EMBEDDING meaning & explanation
• Lev Konstaninovskiy – Word Embedding For Fun and Profit
• Word-Embedding-Enhanced Alexa Skill on an Echo – Demo
• Representations for Language: From Word Embeddings to Sentence Meanings
• D2L4 Word Embeddings – Word2Vec (by Antonio Bonafonte)
• Word Embeddings applied to Nao’s speech
• Acoustic word embeddings
• Introdução aos Word Embeddings
• contextual word embeddings for recomendor systems by Akhil Gupta 36:18
• 20161221 neural network word embedding backward
• 20161220 neural network onehot word embedding
• ML Lecture 14: Unsupervised Learning – Word Embedding
• James Thorne – A Convolution Kernel for Sentiment Analysis using Word-Embeddings
• Document and Word Embeddings for Text Mining
• Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
• Actionable and Political Text Classification Using Word Embeddings and LSTM
• Decoding Fashion Contexts Using Word Embeddings
• Unsupervised Word Segmentation and Lexicon Discovery Using Acoustic Word Embeddings
• Word embedding in Spanish at Universidad Nacional Colombia 2016
• Martin Jaggi – Deep Learning for Text – From Word Embeddings to Convolutional Neural Networks
• Introduction to Word Embeddings
• Lev Konstantinovskiy – Word Embeddings for fun and profit in Gensim
• Word Embedding Explained and Visualized – word2vec and wevi
• Revisiting Word Embedding for Contrasting Meaning
• Specializing Word Embeddings for Similarity or Relatedness
• Francois Scharffe: Word embeddings as a service
• Dependency-based word embeddings
• Word: Embedding a Video
• BDSBTB 2015: Marek Kolodziej, Unsupervised NLP Using Word Embeddings, Scala and Apache Spark
• Word Embedding: from theory to practice
• Stockholm NLP Meetup: Word Embedding from Theory to Practice
• Excel Tutorial: Excel Word embedding | ExcelCentral.com
• Microsoft Word: Embedding files in your document. AOTraining.net