Natural Language Processing Best Practices & Examples
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Updated
Aug 30, 2022 - Python
Natural Language Processing Best Practices & Examples
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텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Tableau-based Theorem Prover for Natural Logic and Language
Natural Language Attacks in a Hard Label Black Box Setting.
Open source library for few shot NLP
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 benchmark datasets and pretrained transformer models in the Filipino language.
Implementation of the semi-structured inference model in our ACL 2020 paper, INFOTABS: Inference on Tables as Semi-structured Data.
Topic Inference with Zeroshot models
Keras implementation (tensorflow backend) of natural language inference
keras implementation for paper - Enhanced LSTM for Natural Language Inference, tested on Quora Question Pairs dataset.
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.
Models for Nature Language Inference (Tensorflow Version), including 'A Decomposable Attention Model for Natural Language Inference', ..., to be continued.
Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.
Repository containing code for the NAACL 2021 paper (Incorporating External Knowledge to Enhance Tabular Reasoning)
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