Model Evaluation using SuperGLUE Diagnostic Dataset
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Updated
Oct 3, 2022 - Python
Model Evaluation using SuperGLUE Diagnostic Dataset
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
JSNLI (Japanese SNLI) dataset for huggingface datasets
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"
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Implementation of the InferSent paper by Conneau et al., EMNLP2017
In this repository, we deal with the task of implementing Natural Language Inferencing (NLI) using the SNLI dataset. Different methods such as SumEmbeddings, BiLSTM, BiGRU, Transformers, and Logistic Regression are experimented.
Pytorch implementations of several text semantic matching models. The repository currently contains ESIM, CAFE, RE2
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
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