Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. In this post, we present a new version and a demo NER project that we trained to usable accuracy in just a few hours. That work is now due for an update.

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Explosion

FEBRUARY 14, 2016

Sense2vec (Trask et. This post motivates the idea, explains our implementation, and comes with an interactive demo that we've found surprisingly addictive. If you were doing text analytics in 2015, you were probably using word2vec.

Text Analytics 40

Text Analytics Explainability 40

Explosion

NOVEMBER 21, 2019

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. In this post, we present a new version of the library, new vectors, new evaluation recipes, and a demo NER project that we trained to usable accuracy in just a few hours.

NLP 52

NLP Convolutional Neural Networks Neural Network Natural Language Processing 52

Ines Montani

OCTOBER 2, 2016

I developed an entirely new website , we launched an improved version of the displaCy visualiser that doubled up as an annotation tool and even landed our first feature on ProductHunt with a demo that let people explore semantic word relations on Reddit using sense2vec. Yet, things were about to take a different turn.

Natural Language Processing 52

Natural Language Processing AI AI Artificial Intelligence 52

Explosion

DECEMBER 28, 2019

Nov 22: This milestone was also one of the most fun: sense2vec reloaded ! We updated the library, models and demo to compare 2015 and 2019 using contextually-keyed word vectors trained on billions of words from Reddit comments. You can watch it here (in German). ?

NLP 52

NLP BERT Machine Learning Python 52

Explosion

FEBRUARY 14, 2016

Sense2vec (Trask et. This post motivates the idea, explains our implementation, and comes with an interactive demo that we’ve found surprisingly addictive. Sense2vec: Using NLP annotations for more precise vectors The idea behind sense2vec is super simple. For this, we need to analyse tokens in context.

Natural Language Processing 40

Natural Language Processing NLP Text Analytics Explainability 40