Hacker News
- The Amazing Power of Word Vectors (2016) https://blog.acolyer.org/2016/04/21/the-amazing-power-of-word-vectors/ 9 comments
Linking pages
- Deep code search | the morning paper https://blog.acolyer.org/2018/06/26/deep-code-search/ 16 comments
- GitHub - andrewt3000/DL4NLP: Deep Learning for NLP resources https://github.com/andrewt3000/DL4NLP 14 comments
- Machine Learning — Text Processing | by Javaid Nabi | Towards Data Science https://towardsdatascience.com/machine-learning-text-processing-1d5a2d638958 7 comments
- How to predict Quora Question Pairs using Siamese Manhattan LSTM | by Elior Cohen | ML Review https://blog.mlreview.com/implementing-malstm-on-kaggles-quora-question-pairs-competition-8b31b0b16a07 5 comments
- Dynamic word embeddings for evolving semantic discovery | the morning paper https://blog.acolyer.org/2018/02/22/dynamic-word-embeddings-for-evolving-semantic-discovery/ 1 comment
- GitHub - nchah/word2vec4everything: Python CLI to apply word2vec to all sorts of text documents. https://github.com/nchah/word2vec4everything 0 comments
- With machine learning, you’ll know every city as if you grew up there | by Nathan | Spatial AI | Medium https://medium.com/spatial-ai/leveraging-local-knowledge-and-machine-learning-for-world-understanding-8ee120d95d7a 0 comments
- Powering SQL With Machine Learning Capabilities | by Eyal Trabelsi | Towards Data Science https://towardsdatascience.com/powering-sql-with-machine-learning-capabilities-24eba7d0914c 0 comments
- Achieving human parity in conversational speech recognition | the morning paper https://blog.acolyer.org/2016/11/22/achieving-human-parity-in-conversational-speech-recognition/ 0 comments
- Understanding, generalisation, and transfer learning in deep neural networks | the morning paper https://blog.acolyer.org/2017/02/27/understanding-generalisation-and-transfer-learning-in-deep-neural-networks/ 0 comments
- Game of missuggestions: semantic analysis of search autocomplete manipulation | the morning paper https://blog.acolyer.org/2018/03/14/game-of-missuggestions-semantic-analysis-of-search-autocomplete-manipulation/ 0 comments
- Using word embedding to enable semantic queries on relational databases | the morning paper https://blog.acolyer.org/2017/07/06/using-word-embedding-to-enable-semantic-queries-on-relational-databases/ 0 comments
- Interactive Map of Reddit and Subreddit Similarity Calculator http://www.shorttails.io/interactive-map-of-reddit-and-subreddit-similarity-calculator/ 0 comments
- Deep neural networks for YouTube recommendations | the morning paper https://blog.acolyer.org/2016/09/19/deep-neural-networks-for-youtube-recommendations/ 0 comments
- NLP | Text Vectorization. How machines turn text into numbers to… | by Diego Lopez Yse | Medium https://lopezyse.medium.com/nlp-text-vectorization-e472a3a9983a 0 comments
- Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78 0 comments
- GitHub - nokia/code-compass: a contextual search engine for software packages built on import2vec embeddings (https://www.code-compass.com) https://github.com/nokia/code-compass 0 comments
- Machine Learning — NLP Vectorization Techniques | by Bhavani Ravi | Medium https://medium.com/@bhavaniravi/machine-learning-nlp-vectorization-techniques-27dd0d6fb0d 0 comments
- Over 200 of the Best Machine Learning, NLP, and Python Tutorials — 2018 Edition | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/over-200-of-the-best-machine-learning-nlp-and-python-tutorials-2018-edition-dd8cf53cb7dc 0 comments
- Struc2vec: learning node representations from structural identity | the morning paper https://blog.acolyer.org/2017/09/15/struc2vec-learning-node-representations-from-structural-identity/ 0 comments
Linked pages
- Google Code Archive - Long-term storage for Google Code Project Hosting. https://code.google.com/archive/p/word2vec/ 5 comments
- http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf 0 comments
- [1301.3781] Efficient Estimation of Word Representations in Vector Space https://arxiv.org/abs/1301.3781 0 comments
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