Natural Language Processing Best Practices & Examples
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Updated
Aug 30, 2022 - Python
Natural Language Processing Best Practices & Examples
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
NLP made easy
BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
Jack the Reader
A Model for Natural Language Attack on Text Classification and Inference
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.
Compendium of the resources available from top NLP conferences.
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
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 Chap…
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
TensorFlow implementation of the ESIM model (Enhanced LTSM for natural language inference)
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.
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