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I am trying to follow this article: https://adventuresinmachinelearning.com/word2vec-keras-tutorial/
Here is full version of the code from this article: https://github.com/adventuresinML/adventures-i…
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The NLTK's API is roughly like this (here using the nltk/wordnet fork):
```python
from wn import WordNet
w = WordNet()
w.synsets('word') # returns a list of those matching in PWN by default
w.…
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Not familiar with Torch, it seems not like "SG-Retrofit" ?
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So I am simply calculating the cosine similarity between two fastText word embeddings (i.e. a*b/||a||*||b||), and I expect to see values between -1 and 1. But in practice, I only see similarities betw…
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## 0. Paper
@inproceedings{athiwaratkun-wilson-2017-multimodal,
title = "Multimodal Word Distributions",
author = "Athiwaratkun, Ben and
Wilson, Andrew",
booktitle = "Proceedin…
a1da4 updated
3 years ago
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### Description
We are migrating Resources of Android specific Resources (controls, colors) like .xml, .axml and .png files from Xamarin Forms to "MAUI->Platforms->Android->Resources" folder and g…
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Firstly the spellchecking algorithm was based only on jaccard similarity to provide a set of candidates and then we apply Levenshtein distance algorithm to get the most suitable word to be suggested a…
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Notice most accurate prediction made are for score = 0, is that possible to run a 'similarity classification' to see spot the similarities of those statements.
Might be a **text cloud** to see the fr…
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Hi,
I am starting to use this library and came across those potential glitches.
I would expect cosine, jaro and jarowinkler to return exactly 1.0 on equal strings, but I get the following (jarowinkl…
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# Hierarchical Softmax (and Clustering)
We want 1000 experts. The gater will have to choose a subset of these for each example. Each expert will have 800,000,000/1000=800,000 examples. Each expert ma…