Natural Language Processing Best Practices & Examples

an ambient intelligence library

A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

GTS Engine: A powerful NLU Training System。GTS引擎（GTS-Engine）是一款开箱即用且性能强大的自然语言理解引擎，聚焦于小样本任务，能够仅用小样本就能自动化生产NLP模型。

Open source library for few shot NLP

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Topic Inference with Zeroshot models

Natural Language Attacks in a Hard Label Black Box Setting.

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

Visualization tool for interpreting NLP models

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

The dataset and code for ACL 2022 paper "SciNLI: A Corpus for Natural Language Inference on Scientific Text" are released here.

This repository contains the dataset and the pytorch implementations of the models from the paper CIDER: Commonsense Inference for Dialogue Explanation and Reasoning. CIDER has been accepted to appear at SIGDIAL 2021.

A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo

Keras implementation (tensorflow backend) of natural language inference

Testing Theory of Mind (ToM) in language models with epistemic logic

Models for Nature Language Inference (Tensorflow Version), including 'A Decomposable Attention Model for Natural Language Inference', ..., to be continued.

Implementation of the semi-structured inference model in our ACL 2020 paper, INFOTABS: Inference on Tables as Semi-structured Data.