Adversarial evaluation of model performances [Updated]
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Updated
Oct 3, 2022 - Python
Adversarial evaluation of model performances [Updated]
Evaluation of Natural language Inference datasets on State of the art models and their combinations and ensembles.
Model Evaluation using SuperGLUE Diagnostic Dataset
Advanced Topics in Computational Semantics (ATCS) - Practical 1
robust-nli-analysis robust-NLP-analysis
End-to-end Siamese CNNs as feature selection for a CNN-based Entailment Modelling
Model Evaluation using SNLI Development Set
Model Evaluation using WANLI Test Set
🔍 Detect biases in NLP models with robust analysis, enhancing dataset integrity and achieving high accuracy with fewer resources.
E0 250 Deep Learning course is offered by Department of Computer Science and automation, Indian Institute of Science, Bangalore.
Natural language inference task on SNLI and carried out POS tag probing
A collection of Natural Language Inference (NLI) models developed using PyTorch
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Deep Learning for NLP
Implementation of the semi-structured inference model in our ACL 2020 paper. INFOTABS: Inference on Tables as Semi-structured Data
TP del curso "Procesamiento del lenguaje natural mediante redes neuronales"
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