Natural Language Processing Best Practices & Examples
-
Updated
Aug 30, 2022 - Python
Natural Language Processing Best Practices & Examples
✨ Build AI interfaces that spark joy
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
Topic Inference with Zeroshot models
Open-source benchmark datasets and pretrained transformer models in the Filipino language.
Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
Natural Language Attacks in a Hard Label Black Box Setting.
Visualization tool for interpreting NLP models
pytorch implementation of various models for snli and mnli task
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo
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.
Keras implementation (tensorflow backend) of natural language inference
The dataset and code for ACL 2022 paper "SciNLI: A Corpus for Natural Language Inference on Scientific Text" are released here.
Implementation of the semi-structured inference model in our ACL 2020 paper, INFOTABS: Inference on Tables as Semi-structured Data.
Models for Nature Language Inference (Tensorflow Version), including 'A Decomposable Attention Model for Natural Language Inference', ..., to be continued.
Repository containing code for the NAACL 2021 paper (Incorporating External Knowledge to Enhance Tabular Reasoning)
Add a description, image, and links to the nli topic page so that developers can more easily learn about it.
To associate your repository with the nli topic, visit your repo's landing page and select "manage topics."