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attention model for entailment on SNLI corpus implemented in Tensorflow and Keras
Updated
Nov 13, 2016
Python
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Updated
Jun 15, 2020
Python
A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus
Updated
Aug 12, 2017
Python
Updated
Jan 31, 2020
Python
The medical question entailment data introduced in the AMIA 2016 Paper (Recognizing Question Entailment for Medical Question Answering)
A presentation and Accompanying notebook for the Entailment with Tensorflow article.
Updated
Apr 8, 2018
Jupyter Notebook
neural natural language inference
Updated
Jun 3, 2016
Python
Robust feature-based classifiers for natural language inference
Updated
Jun 13, 2015
Gherkin
TUM_AI_WS1516: The parser module reads ASCII strings and converts them into propositional logic formula. The entailment module reads two parsed propositional logic formulae A and B, and then it decides whether A != B or not.
Updated
Jan 9, 2018
Python
Updated
Jun 24, 2018
Python
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