Natural Language Processing Best Practices & Examples
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Updated
Jul 31, 2020 - Python
Natural Language Processing Best Practices & Examples
NLP made easy
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
Compendium of the resources available from top NLP conferences.
Neural network toolkit for sentence pair modeling.
Jack the Reader
A Model for Natural Language Attack on Text Classification and Inference
PhoBERT: Pre-trained language models for Vietnamese
Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.
Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"
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)
Repository for NLI models (EMNLP 2018)
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.
The implementation of the paper "Evaluating Coherence in Dialogue Systems using Entailment"
TensorFlow implementation of the Decomposable Attention model (A Decomposable Attention Model for Natural Language Inference)
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Diverse Natural Language Inference Collection - NLI dataset that can used to evaluate how well models perform distinct types of reasoning (EMNLP 2018)
A curated list of natural language processing courses, video lectures, books, library and many more.
Keras implementation (tensorflow backend) of natural language inference
Enhanced BiLSTM Inference Model for Natural Language Inference
Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus
A collection of natural language processing notebooks.
PyTorch Implementation of "Learning Natural Language Inference with LSTM", 2016, S. Wang et al. (https://arxiv.org/pdf/1512.08849.pdf)
CHIP 2019平安医疗科技疾病问答迁移学习比赛baseline,rank7
This repo contains some experiments of text matching on Chinese dataset LCQMC
[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle
pytorch implementation of various models for snli and mnli task
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