A Dataset for Direct Quotation Extraction and Attribution in News Articles.

Overview

DirectQuote - A Dataset for Direct Quotation Extraction and Attribution in News Articles

DirectQuote is a corpus containing 19,760 paragraphs and 10,353 direct quotations manually annotated from online news media.

A quotation is a general notion that covers different kinds of speech, thought, and writing in text (Semino and Short,2004). It is a prominent linguistic device for expressing opinions, statements, and assessments attributed to the speaker (Cappelen and Lepore, 2012). Among all kinds of quotations, the entire content of the direct quotation (O’Keefe et al.,2013) is in quotation marks, which means that what the speaker said is transcribed verbatim.

Task Definition

Quotation extractionis defined as extracting reported speech from a third party in the text, also known as reportedspeech extraction. Quotation attribution refers to determining the speaker of the quotation. When annotating speakers, we ensure that valid speakers should be able to belinked to a person entity in a named entity library. Among them, simple patterns are removed to increase the diversity of the corpus.

Data

Region Name Numbers
U.S. Associated Press 438
Cable News Network 627
American Broadcasting Company 240
New York Times 5,642
CBS Broadcasting 4,890
UK British Broadcasting Corporation 926
Reuters 5,836
The Guardian 4,302
Canada The Globe and Mail 1,955
The Star 13,769
New Zealand NZ Herald 115
Australia Australian Broadcasting Corporation 312
Sydney Morning Herald 93

We select representative and multiple news sources across the political spectrum, including 13 well-known online news media from five major English-speaking countries. The corpus adopts the format consistent with CoNLL 2003. We use IOB1 format in the corpus. Raw texts are tokenized by whitespace tokenizer. Every word is classified into the following lables:

  • LeftSpeaker Quotation, the corresponding speaker is in the preceding text
  • RightSpeaker Quotation, the corresponding speaker is in the following text
  • Unknown Quotation, no corresponding speaker
  • Speaker Speaker
  • Out Neither

Statistics

Numbers
News Article 39,153
Paragraph 19,760
Quotation 10,353
Time 2020.09-2021.03

Reference

DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles, Yuanchi Zhang, Yang Liu

Owner
THUNLP-MT
Machine Translation Group, Natural Language Processing Lab at Tsinghua University (THUNLP). Please refer to https://github.com/thunlp for more NLP resources.
THUNLP-MT
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation

A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation This repository contains the source code of the paper A Differentiable

Bernardo Aceituno 2 May 05, 2022
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

This is the official repository of the paper: CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability A private copy of the

Fadi Boutros 33 Dec 31, 2022
pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning

ABC:Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning, NeurIPS 2021 pytorch implementation of ABC : Auxiliary Balanced Class

Hyuck Lee 25 Dec 22, 2022
A Pytorch Implementation of a continuously rate adjustable learned image compression framework.

GainedVAE A Pytorch Implementation of a continuously rate adjustable learned image compression framework, Gained Variational Autoencoder(GainedVAE). N

39 Dec 24, 2022
《A-CNN: Annularly Convolutional Neural Networks on Point Clouds》(2019)

A-CNN: Annularly Convolutional Neural Networks on Point Clouds Created by Artem Komarichev, Zichun Zhong, Jing Hua from Department of Computer Science

Artёm Komarichev 44 Feb 24, 2022
PyTorch implementation of the paper Deep Networks from the Principle of Rate Reduction

Deep Networks from the Principle of Rate Reduction This repository is the official PyTorch implementation of the paper Deep Networks from the Principl

459 Dec 27, 2022
Self-Supervised Monocular DepthEstimation with Internal Feature Fusion(arXiv), BMVC2021

DIFFNet This repo is for Self-Supervised Monocular DepthEstimation with Internal Feature Fusion(arXiv), BMVC2021 A new backbone for self-supervised de

Hang 94 Dec 25, 2022
Learn about quantum computing and algorithm on quantum computing

quantum_computing this repo contains everything i learn about quantum computing and algorithm on quantum computing what is aquantum computing quantum

arfy slowy 8 Dec 25, 2022
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa

Zhao Jian 3.1k Jan 04, 2023
Semantic Bottleneck Scene Generation

SB-GAN Semantic Bottleneck Scene Generation Coupling the high-fidelity generation capabilities of label-conditional image synthesis methods with the f

Samaneh Azadi 41 Nov 28, 2022
Rendering Point Clouds with Compute Shaders

Compute Shader Based Point Cloud Rendering This repository contains the source code to our techreport: Rendering Point Clouds with Compute Shaders and

Markus Schütz 460 Jan 05, 2023
Easily Process a Batch of Cox Models

ezcox: Easily Process a Batch of Cox Models The goal of ezcox is to operate a batch of univariate or multivariate Cox models and return tidy result. ⏬

Shixiang Wang 15 May 23, 2022
HiddenMarkovModel implements hidden Markov models with Gaussian mixtures as distributions on top of TensorFlow

Class HiddenMarkovModel HiddenMarkovModel implements hidden Markov models with Gaussian mixtures as distributions on top of TensorFlow 2.0 Installatio

Susara Thenuwara 2 Nov 03, 2021
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

NeoDTI NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions (Bioinformatics).

62 Nov 26, 2022
Informal Persian Universal Dependency Treebank

Informal Persian Universal Dependency Treebank (iPerUDT) Informal Persian Universal Dependency Treebank, consisting of 3000 sentences and 54,904 token

Roya Kabiri 0 Jan 05, 2022
CoaT: Co-Scale Conv-Attentional Image Transformers

CoaT: Co-Scale Conv-Attentional Image Transformers Introduction This repository contains the official code and pretrained models for CoaT: Co-Scale Co

mlpc-ucsd 191 Dec 03, 2022
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Automatic, Readable, Reusable, Extendable Machin is a reinforcement library designed for pytorch. Build status Platform Status Linux Windows Supported

Iffi 348 Dec 24, 2022
Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

CoProtector Code for the prototype tool in our paper "CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning".

Zhensu Sun 1 Oct 26, 2021
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Visdom A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Python. Overview Concepts Setup Usage API To

FOSSASIA 9.4k Jan 07, 2023
Reaction SMILES-AA mapping via language modelling

rxn-aa-mapper Reactions SMILES-AA sequence mapping setup conda env create -f conda.yml conda activate rxn_aa_mapper In the following we consider on ex

16 Dec 13, 2022