The Wayback Machine - https://web.archive.org/web/20210728185554/https://github.com/topics/universal-sentence-encoder
#
universal-sentence-encoder
Here are
34 public repositories
matching this topic...
a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Updated
May 21, 2021
Python
All about Neural Networks!
Updated
Oct 22, 2018
Jupyter Notebook
Document similarity algorithms experiment - Jaccard, TF-IDF, Doc2vec, USE, and BERT.
Updated
Aug 11, 2020
Python
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
Updated
Jul 25, 2021
Python
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
Updated
Apr 21, 2020
Jupyter Notebook
Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task
Updated
Mar 2, 2021
Jupyter Notebook
Summarizer in python with Spacy and Universal Sentence Encoder build on Flask framework
Updated
Apr 1, 2021
Python
Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )
Updated
Oct 4, 2019
Python
ASR experiment using Google's Universal Sentence Encoder
Updated
Sep 26, 2018
Jupyter Notebook
Language independent sentiment analysis
Updated
Apr 6, 2021
Python
Fine-grained Propaganda Detection at NLP4IF 2019
Updated
Nov 7, 2019
Python
Quora Questions Pair detection with Semantic Similarity
Updated
Sep 17, 2019
Python
Semantic Textual Similarity between two document
Updated
Dec 25, 2019
Jupyter Notebook
Determining similarity between two sentences in terms of semantic using pre trained Universal Sentence Encoder from TensorFlow.js
Updated
May 14, 2021
HTML
Using Neural Representations for Generating Intent-based Query Phrases
Updated
May 21, 2021
Python
Use-cases of Google's Universal Sentence Encoder (e.g. sentence similarity, unsupervised extractive summarization).
Updated
Feb 10, 2020
Jupyter Notebook
A super simple Q&A chat-bot applying vector search
Updated
Apr 30, 2021
Jupyter Notebook
Bachelor thesis for SPBU.
Updated
Nov 21, 2019
Jupyter Notebook
Seq2Seq but super improved, can be repurposed for captioning images, text generation, quicker search engines, just about anything really
Updated
Feb 4, 2021
Jupyter Notebook
Updated
May 15, 2020
Jupyter Notebook
Python project for generating search results based on a given text using TF Universal Sentence Encoder and ElasticSearch database.
Updated
Sep 6, 2020
Python
Evaluates a client-side model built on top of the Universal Sentence Encoder to detect hateful content selected for the analysis
Updated
Jul 24, 2020
JavaScript
Sentiment Analysis using Google's Universal Sentence Encoder
Updated
Sep 21, 2019
Jupyter Notebook
OSPPre (Open Source Parts Prediction), largely inspired by Aquant.io's Smart Triage Feature
Updated
May 6, 2021
Python
Classification automatique de biens de consommation (OpenClassrooms | Data Scientist | Projet 6)
Updated
Dec 6, 2020
Jupyter Notebook
Find new movies based on your last one our a story of movie you liked
Updated
Oct 20, 2020
Python
NLP TASKS using BERT , USE and other techniques
Updated
Oct 9, 2020
Jupyter Notebook
An examination portal which evaluates subjective answers using Machine Learning
Updated
May 8, 2021
Python
Improve this page
Add a description, image, and links to the
universal-sentence-encoder
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
universal-sentence-encoder
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
Users misspell things. Having spell-check and synonyms helps a lot, but doesn't catch everything.
One solution would be to use the python metaphone package's implementation of the Double Metaphone algorithm.
At component train time, it could look at the normal entity lists, find the DM representation of all the synonyms, and store them.