There are 2 repositories under snli topic.
Source code of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
Re-implementation of BIMPM (Bilateral Multi-Perspective Matching for Natural Language Sentences, Zhiguo Wang et al.) on Pytorch.
Repository for NLI models (EMNLP 2018)
Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.
Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
pytorch implementation of various models for snli and mnli task
Unofficial implementation algorithms of attention models on SNLI dataset
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Keras implementation (tensorflow backend) of natural language inference
PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
Text pair classification
From Hero to ZĂ©roe: A Benchmark of Low-Level Adversarial Attacks
Pytorch implementations of several text semantic matching models. The repository currently contains ESIM, CAFE, RE2
Code developed for the RepEval 2017 Shared Task by the the team Rivercorners
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.
Infer from two sentences whether they contradict,entail or neutral to each other
CNN/RNN model evaluation on the Stanford Natural Language Inference (SNLI) task
An NLP project which makes use of tensorflow for hypothesis testing.
Natural Language Inference
Implementation of the InferSent paper by Conneau et al., EMNLP2017
unsupervised creation of contradictory, entailing sentences from a given premise for SNLI tasks.
This repository will contain state of the art implementation of semantic-similarity
TP del curso "Procesamiento del lenguaje natural mediante redes neuronales"
Deep Learning for NLP
Application of Transformers for NLI task with SNLI dataset
JSNLI (Japanese SNLI) dataset for huggingface datasets
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Implementation of the semi-structured inference model in our ACL 2020 paper. INFOTABS: Inference on Tables as Semi-structured Data