Journalism AI – Quotes extraction for modular journalism

Overview

Journalism AI – Quotes extraction for modular journalism

This repo contains the code for the Guardian and AFP contribution for the JournalismAI Festival 2021.

Further reading can be found in our blog post.

The aim of the project is to extract quotes from news articles using Named Entity Recognition, add coreferencing information and format the results for an exploratory search tool.

The contribution consists of several self-contained pieces of work, namely:

  1. a regular expression pipeline attempting to extract quotes by matching patterns
  2. a rule set to define different types of quotes and guide the quote annotation
  3. custom annotation recipes for the Prodigy software enabling quick and efficient data annotation
  4. a post-processing pipeline for extracting quotes using a trained Spacy model and adding coreferencing information
  5. example data and data schema for displaying the extracted quote information in a search tool

Repo structure

Each folder in this repo reflects one of the pieces of work mentioned above.

  • regex_pipeline/ – code to run the regular expression-based quote extraction
  • annotation_rules/ – document with rules and definitions to guide the quote annotation step
  • annotation_scripts/ – custom annotation scripts for Prodigy
  • coreference/ – proof of concept for rules-based coreferencing tool
  • schema/ – data output schema and example data

Each folder contains a separate README file with instructions to set up and run each piece of work.

Owner
Journalism AI collab 2021
Journalism AI collab 2021
Auto translate textbox from Japanese to English or Indonesia

priconne-auto-translate Auto translate textbox from Japanese to English or Indonesia How to use Install python first, Anaconda is recommended Install

Aji Priyo Wibowo 5 Aug 25, 2022
This is a NLP based project to extract effective date of the contract from their text files.

Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is

Sambhav Garg 1 Jan 26, 2022
[ICLR'19] Trellis Networks for Sequence Modeling

TrellisNet for Sequence Modeling This repository contains the experiments done in paper Trellis Networks for Sequence Modeling by Shaojie Bai, J. Zico

CMU Locus Lab 460 Oct 13, 2022
Code voor mijn Master project omtrent VideoBERT

Code voor masterproef Deze repository bevat de code voor het project van mijn masterproef omtrent VideoBERT. De code in deze repository is gebaseerd o

35 Oct 18, 2021
Implementation of legal QA system based on SentenceKoBART

LegalQA using SentenceKoBART Implementation of legal QA system based on SentenceKoBART How to train SentenceKoBART Based on Neural Search Engine Jina

Heewon Jeon(gogamza) 75 Dec 27, 2022
Learn meanings behind words is a key element in NLP. This project concentrates on the disambiguation of preposition senses. Therefore, we train a bert-transformer model and surpass the state-of-the-art.

New State-of-the-Art in Preposition Sense Disambiguation Supervisor: Prof. Dr. Alexander Mehler Alexander Henlein Institutions: Goethe University TTLa

Dirk Neuhäuser 4 Apr 06, 2022
ConvBERT-Prod

ConvBERT 目录 0. 仓库结构 1. 简介 2. 数据集和复现精度 3. 准备数据与环境 3.1 准备环境 3.2 准备数据 3.3 准备模型 4. 开始使用 4.1 模型训练 4.2 模型评估 4.3 模型预测 5. 模型推理部署 5.1 基于Inference的推理 5.2 基于Serv

yujun 7 Apr 08, 2022
MEDIALpy: MEDIcal Abbreviations Lookup in Python

A small python package that allows the user to look up common medical abbreviations.

Aberystwyth Systems Biology 7 Nov 09, 2022
Text Classification Using LSTM

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new ar

KrishArul26 3 Jan 03, 2023
Super easy library for BERT based NLP models

Fast-Bert New - Learning Rate Finder for Text Classification Training (borrowed with thanks from https://github.com/davidtvs/pytorch-lr-finder) Suppor

Utterworks 1.8k Dec 27, 2022
open-information-extraction-system, build open-knowledge-graph(SPO, subject-predicate-object) by pyltp(version==3.4.0)

中文开放信息抽取系统, open-information-extraction-system, build open-knowledge-graph(SPO, subject-predicate-object) by pyltp(version==3.4.0)

7 Nov 02, 2022
Line as a Visual Sentence: Context-aware Line Descriptor for Visual Localization

Line as a Visual Sentence with LineTR This repository contains the inference code, pretrained model, and demo scripts of the following paper. It suppo

SungHo Yoon 158 Dec 27, 2022
AMUSE - financial summarization

AMUSE AMUSE - financial summarization Unzip data.zip Train new model: python FinAnalyze.py --task train --start 0 --count how many files,-1 for all

1 Jan 11, 2022
SimCSE: Simple Contrastive Learning of Sentence Embeddings

SimCSE: Simple Contrastive Learning of Sentence Embeddings This repository contains the code and pre-trained models for our paper SimCSE: Simple Contr

Princeton Natural Language Processing 2.5k Jan 07, 2023
Code and data accompanying Natural Language Processing with PyTorch

Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning By Delip Rao and Brian McMahan Welcome. This is a

Joostware 1.8k Jan 01, 2023
A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

A simple Flask site that allows users to create, update, and delete posts in a database, as well as perform basic NLP tasks on the posts.

Ian 1 Jan 15, 2022
Ukrainian TTS (text-to-speech) using Coqui TTS

title emoji colorFrom colorTo sdk app_file pinned Ukrainian TTS 🐸 green green gradio app.py false Ukrainian TTS 📢 🤖 Ukrainian TTS (text-to-speech)

Yurii Paniv 85 Dec 26, 2022
Resources for "Natural Language Processing" Coursera course.

Natural Language Processing course resources This github contains practical assignments for Natural Language Processing course by Higher School of Eco

Advanced Machine Learning specialisation by HSE 1.1k Jan 01, 2023
Huggingface Transformers + Adapters = ❤️

adapter-transformers A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models adapter-transformers is an extension of

AdapterHub 1.2k Jan 09, 2023
Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables

Mortgage-Application-Analysis Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables: age, in

1 Jan 29, 2022