unsupervised creation of contradictory, entailing sentences from a given premise for SNLI tasks.
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Updated
Oct 3, 2023 - Jupyter Notebook
unsupervised creation of contradictory, entailing sentences from a given premise for SNLI tasks.
Advanced Topics in Computational Semantics (ATCS) - Practical 1
Application of Transformers for NLI task with SNLI dataset
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
JSNLI (Japanese SNLI) dataset for huggingface datasets
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 implementation of various models for snli and mnli task
Model Evaluation using WANLI Test Set
Model Evaluation using SNLI Development Set
Adversarial evaluation of model performances [Updated]
Model Evaluation using SuperGLUE Diagnostic Dataset
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
Natural language inference task on SNLI and carried out POS tag probing
Implementation of the ESIM model for natural language inference with PyTorch
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
This repository will contain state of the art implementation of semantic-similarity
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