https://github.com/vijaydwivedi75/beyond_word2vec

Deep learning architectures to embed multi-word units into a vector space maximizing similarity between units of different sizes.
https://github.com/vijaydwivedi75/beyond_word2vec

keras siamese-network tensorflow word2vec

Last synced: about 2 months ago
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Deep learning architectures to embed multi-word units into a vector space maximizing similarity between units of different sizes.

• Host: GitHub
• URL: https://github.com/vijaydwivedi75/beyond_word2vec
• Owner: vijaydwivedi75
• Created: 2017-06-20T13:19:00.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2019-05-14T07:26:10.000Z (over 6 years ago)
• Last Synced: 2025-04-28T18:16:00.825Z (6 months ago)
• Topics: keras, siamese-network, tensorflow, word2vec
• Language: Python
• Size: 3.38 MB
• Stars: 9
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

## IIITH NLP Lab Summer Research Project

## Beyond Word2Vec

 - Vijay Prakash Dwivedi

 - Dr Manish Shrivastava

## Description

Building deep learning architectures to embed multi-word units into a vector space maximizing similarity between units of different sizes.

## Work

Implemented a Siamese MLP architecture with following best results.

![Siamese MLP Architecture](https://i.stack.imgur.com/AyWic.png)

```

* Training on 263000 samples, Testing on 113000 samples

* Accuracy on training set: 91.06%

* Accuracy on test set: 74.93%

```

Also, implemented a Siamese LSTM architecture with following best results.

![Siamese LSTM Architecture](http://i.imgur.com/d6YxKgP.jpg)

```

* Training on 263000 samples, Testing on 113000 samples

* Accuracy on training set: 93.20%

* Accuracy on test set: 76.65%

```