Natural Language Processing Tasks and Examples.

Overview

Natural Language Processing Tasks and Examples

With the advancement of A.I. technology in recent years, natural language processing technology has been able to solve so many problems. While working as an NLP engineer, I encountered various tasks, and I thought it would be nice to gather and organize the natural language processing tasks I have dealt with in one place. Borrowing Kyubyong's project format, I organized natural language processing tasks with references and example code.

Automated Essay Scoring

Automatic Speech Recognition

Dialogue Generation

Dialogue Retrieval

Fill in the Blank

Grammatical Error Correction

Grapheme To Phoneme

Language Modeling

Machine Reading Comprehension

Machine Translation

Math Word Problem Solving

Natural Language Inference

Named Entity Recognition

Paraphrase Generation

Phoneme To Grapheme

Sentiment Analysis

Semantic Textual Similarity

Speech Synthesis

Summarization

Author

Owner
Soohwan Kim
Research engineer in NLP and Speech fields.
Soohwan Kim
A tool helps build a talk preview image by combining the given background image and talk event description

talk-preview-img-builder A tool helps build a talk preview image by combining the given background image and talk event description Installation and U

PyCon Taiwan 4 Aug 20, 2022
A machine learning model for analyzing text for user sentiment and determine whether its a positive, neutral, or negative review.

Sentiment Analysis on Yelp's Dataset Author: Roberto Sanchez, Talent Path: D1 Group Docker Deployment: Deployment of this application can be found her

Roberto Sanchez 0 Aug 04, 2021
Simple Python script to scrape youtube channles of "Parity Technologies and Web3 Foundation" and translate them to well-known braille language or any language

Simple Python script to scrape youtube channles of "Parity Technologies and Web3 Foundation" and translate them to well-known braille language or any

Little Endian 1 Apr 28, 2022
REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

What is MUSE? MUSE stands for Multilingual Universal Sentence Encoder - multilingual extension (16 languages) of Universal Sentence Encoder (USE). MUS

Dani El-Ayyass 47 Sep 05, 2022
Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API

gpt3-instruct-sandbox Interactive Jupyter Notebook Environment for using the GPT-3 Instruct API Description This project updates an existing GPT-3 san

312 Jan 03, 2023
Input english text, then translate it between languages n times using the Deep Translator Python Library.

mass-translator About Input english text, then translate it between languages n times using the Deep Translator Python Library. How to Use Install dep

2 Mar 04, 2022
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Hiring We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on NLP and large-scale pre-traine

Microsoft 7.8k Jan 09, 2023
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
Code for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

This repo provides the code of the following papers: (GAR) "Generation-Augmented Retrieval for Open-domain Question Answering", ACL 2021 (RIDER) "Read

morning 49 Dec 26, 2022
Code for "Generating Disentangled Arguments with Prompts: a Simple Event Extraction Framework that Works"

GDAP The code of paper "Code for "Generating Disentangled Arguments with Prompts: a Simple Event Extraction Framework that Works"" Event Datasets Prep

45 Oct 29, 2022
Text editor on python tkinter to convert english text to other languages with the help of ployglot.

Transliterator Text Editor This is a simple transliteration program which is used to convert english word to phonetically matching word in another lan

Merin Rose Tom 1 Jan 16, 2022
Google's Meena transformer chatbot implementation

Here's my attempt at recreating Meena, a state of the art chatbot developed by Google Research and described in the paper Towards a Human-like Open-Domain Chatbot.

Francesco Pham 94 Dec 25, 2022
Repositório da disciplina no semestre 2021-2

Avisos! Nenhum aviso! Compiladores 1 Este é o Git da disciplina Compiladores 1. Aqui ficará o material produzido em sala de aula assim como tarefas, w

6 May 13, 2022
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

ALBERT ***************New March 28, 2020 *************** Add a colab tutorial to run fine-tuning for GLUE datasets. ***************New January 7, 2020

Google Research 3k Dec 26, 2022
The guide to tackle with the Text Summarization

The guide to tackle with the Text Summarization

Takahiro Kubo 1.2k Dec 30, 2022
Easy to start. Use deep nerual network to predict the sentiment of movie review.

Easy to start. Use deep nerual network to predict the sentiment of movie review. Various methods, word2vec, tf-idf and df to generate text vectors. Various models including lstm and cov1d. Achieve f1

1 Nov 19, 2021
NLP made easy

GluonNLP: Your Choice of Deep Learning for NLP GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you l

Distributed (Deep) Machine Learning Community 2.5k Jan 04, 2023
Python implementation of TextRank for phrase extraction and summarization of text documents

PyTextRank PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, used to: extract the top-ranked phrases from text document

derwen.ai 1.9k Jan 06, 2023
Residual2Vec: Debiasing graph embedding using random graphs

Residual2Vec: Debiasing graph embedding using random graphs This repository contains the code for S. Kojaku, J. Yoon, I. Constantino, and Y.-Y. Ahn, R

SADAMORI KOJAKU 5 Oct 12, 2022
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

FNet: Mixing Tokens with Fourier Transforms Pytorch implementation of Fnet : Mixing Tokens with Fourier Transforms. Citation: @misc{leethorp2021fnet,

Rishikesh (ऋषिकेश) 217 Dec 05, 2022