There are 17 repositories under natural-language-inference topic.
Natural Language Processing Best Practices & Examples
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
A Model for Natural Language Attack on Text Classification and Inference
Compendium of the resources available from top NLP conferences.
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
Neural network toolkit for sentence pair modeling.
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL-2022.
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Datasets collection and preprocessings framework for NLP extreme multitask learning
A comprehensive suite of high-level NLP tasks for Persian language
Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.
TensorFlow implementation of the ESIM model (Enhanced LTSM for natural language inference)
Worth-reading papers and related awesome resources on matching task. 值得一读的匹配任务相关论文与资源集合
The implementation of the paper "Evaluating Coherence in Dialogue Systems using Entailment"
[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Repository for NLI models (EMNLP 2018)
A curated list of natural language processing courses, video lectures, books, library and many more.
Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
[EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"