Example code for "Real-World Natural Language Processing"

Overview

Real-World Natural Language Processing

This repository contains example code for the book "Real-World Natural Language Processing."

AllenNLP (2.5.0 or above) is required to run the example code in this repository.

Examples included in this repository:

Owner
Masato Hagiwara
Senior AI Researcher @earthspecies working on decoding non-human communication with AI/ML. Ex @duolingo. Author of Real-World Natural Language Processing
Masato Hagiwara
TLA - Twitter Linguistic Analysis

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lightweight, fast and robust columnar dataframe for data analytics with online update

streamdf Streamdf is a lightweight data frame library built on top of the dictionary of numpy array, developed for Kaggle's time-series code competiti

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Automatically search Stack Overflow for the command you want to run

stackshell Automatically search Stack Overflow (and other Stack Exchange sites) for the command you want to ru Use the up and down arrows to change be

circuit10 22 Oct 27, 2021
A natural language processing model for sequential sentence classification in medical abstracts.

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BiQE: Code and dataset for the BiQE paper

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Korean Sentence Embedding Repository

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[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Cambridge Language Technology Lab 61 Dec 10, 2022
Natural Language Processing library built with AllenNLP 🌲🌱

Custom Natural Language Processing with big and small models 🌲🌱

Recognai 65 Sep 13, 2022
Awesome-NLP-Research (ANLP)

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Language, Information, and Learning at Yale 72 Dec 19, 2022
In this repository we have tested 3 VQA models on the ImageCLEF-2019 dataset.

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Fine-tuning scripts for evaluating transformer-based models on KLEJ benchmark.

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Allegro Tech 17 Oct 18, 2022
Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

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Anuvada: Interpretable Models for NLP using PyTorch

Anuvada: Interpretable Models for NLP using PyTorch So, you want to know why your classifier arrived at a particular decision or why your flashy new d

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Weakly-supervised Text Classification Based on Keyword Graph

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Search-Engine - 📖 AI based search engine

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Beyond Accuracy: Behavioral Testing of NLP models with CheckList

CheckList This repository contains code for testing NLP Models as described in the following paper: Beyond Accuracy: Behavioral Testing of NLP models

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CYGNUS, the Cynical AI, combines snarky responses with uncanny aggression.

New & (hopefully) Improved CYGNUS with several API updates, user updates, and online/offline operations added!!!

Simran Farrukh 0 Mar 28, 2022
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0 🤗 Transformers provides thousands of pretrained models to perform tasks o

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Understand Text Summarization and create your own summarizer in python

Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent

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Google and Stanford University released a new pre-trained model called ELECTRA

Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compared to BERT and its variants. For furth

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