Natural Language Processing Best Practices & Examples
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Updated
Aug 30, 2022 - Python
Natural Language Processing Best Practices & Examples
an ambient intelligence library
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
tenseopeulro2wa meosinreoningeuro sijaghaneun jayeoneoceori (rojiseutighoegwibuteo BERTwa GPT3ggaji) silseubjaryo
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Tableau-based Theorem Prover for Natural Logic and Language
GTS Engine: A powerful NLU Training System. GTSYin Qing (GTS-Engine)Shi Yi Kuan Kai Xiang Ji Yong Qie Xing Neng Qiang Da De Zi Ran Yu Yan Li Jie Yin Qing ,Ju Jiao Yu Xiao Yang Ben Ren Wu ,Neng Gou Jin Yong Xiao Yang Ben Jiu Neng Zi Dong Hua Sheng Chan NLPMo Xing .
Open source library for few shot NLP
VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)
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.
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"
pytorch implementation of various models for snli and mnli task
Visualization tool for interpreting NLP models
Code for the paper EMNLP 2021 workshop paper "Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics"
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.
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