Evaluation of Natural language Inference datasets on State of the art models and their combinations and ensembles.
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Updated
Aug 25, 2020 - Jupyter Notebook
Evaluation of Natural language Inference datasets on State of the art models and their combinations and ensembles.
Model Evaluation using SuperGLUE Diagnostic Dataset
E0 250 Deep Learning course is offered by Department of Computer Science and automation, Indian Institute of Science, Bangalore.
Advanced Topics in Computational Semantics (ATCS) - Practical 1
Adversarial evaluation of model performances [Updated]
Model Evaluation using WANLI Test Set
End-to-end Siamese CNNs as feature selection for a CNN-based Entailment Modelling
Model Evaluation using SNLI Development Set
Natural language inference task on SNLI and carried out POS tag probing
JSNLI (Japanese SNLI) dataset for huggingface datasets
TP del curso "Procesamiento del lenguaje natural mediante redes neuronales"
Deep Learning for NLP
Implementation of the semi-structured inference model in our ACL 2020 paper. INFOTABS: Inference on Tables as Semi-structured Data
This repository will contain state of the art implementation of semantic-similarity
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
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