KIND: an Italian Multi-Domain Dataset for Named Entity Recognition

Related tags

Deep LearningKIND
Overview

KIND (Kessler Italian Named-entities Dataset)

KIND is an Italian dataset for Named-Entity Recognition.

It contains more than one million tokens with the annotation covering three classes: persons, locations, and organizations. Most of the dataset (around 600K tokens) contains manual gold annotations in three different domains: news, literature, and political discourses.

For the construction of the dataset, we decide to use texts available for free, under a license that permits both research and commercial use.

In particular we release four chapters with texts taken from: (i) Wikinews (WN) as a source of news texts belonging to the last decades; (ii) some Italian fiction books (FIC) whose authors died more than 70 years ago; (iii) writings and speeches from Italian politicians Aldo Moro (AM) and (iv) Alcide De Gasperi (ADG).

Wikinews

Wikinews is a multi-language free project of collaborative journalism. The Italian chapter contains more than 11,000 news articles, released under the Creative Commons Attribution 2.5 License.

In building KIND, we randomly choose 1,000 articles evenly distributed in the last 20 years, for a total of 308,622 tokens.

Literature

Regarding fiction literature, we annotate 86 book chapters taken from 10 books written by Italian authors, who all died more than 70 years ago, for a total of 192,448 tokens. The plain texts are taken from the Liber Liber website.

In particular, we choose: Il giorno delle Mésules (Ettore Castiglioni, 12,853 tokens), L'amante di Cesare (Augusto De Angelis, 13,464 tokens), Canne al vento (Grazia Deledda, 13,945 tokens), 1861-1911 - Cinquant’anni di vita nazionale ricordati ai fanciulli (Guido Fabiani, 10,801 tokens), Lettere dal carcere (Antonio Gramsci, 10,655), Anarchismo e democrazia (Errico Malatesta, 11,557 tokens), L'amore negato (Maria Messina, 31,115 tokens), La luna e i falò (Cesare Pavese, 10,705 tokens), La coscienza di Zeno (Italo Svevo, 56,364 tokens), Le cose piu grandi di lui (Luciano Zuccoli, 20,989 tokens).

In selecting works without copyright, we favored texts as recent as possible, so that the model trained on this data can be used efficiently on novels written in the last years, since the language used in these novels is more likely to be similar to the language used in the novels of our days.

Aldo Moro's Works

Writings belonging to Aldo Moro have recently been collected by the University of Bologna and published on a platform called Edizione Nazionale delle Opere di Aldo Moro.

The project is still ongoing and, by now, it contains 806 documents for a total of about one million tokens.

In the first release of KIND, we include 392,604 tokens from the Aldo Moro's works dataset, with silver annotations (see the reference below).

Alcide De Gasperi's Writings

Finally, we annotate 158 document (150,632 tokens) from Alcide Digitale, spanning 50 years of European history.

The complete corpus contains a comprehensive collection of Alcide De Gasperi’s public documents, 2,762 in total, written or transcribed between 1901 and 1954.

License

The NER annotations in (i), (ii), and (iii) are released under the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Annotation from Alcide De Gasperi's writings are released under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.

Owner
Digital Humanities
Digital Humanities Unit at Fondazione Bruno Kessler
Digital Humanities
Project Tugas Besar pertama Pengenalan Komputasi Institut Teknologi Bandung

Vending_Machine_(Mesin_Penjual_Minuman) Project Tugas Besar pertama Pengenalan Komputasi Institut Teknologi Bandung Raw Sketch untuk Essay Ringkasan P

QueenLy 1 Nov 08, 2021
Code release for NeuS

NeuS We present a novel neural surface reconstruction method, called NeuS, for reconstructing objects and scenes with high fidelity from 2D image inpu

Peng Wang 813 Jan 04, 2023
Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

Invertible Image Denoising This is the PyTorch implementation of paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR 20

157 Dec 25, 2022
Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn?

Domain Adaptation with Invariant RepresentationLearning: What Transformations to Learn? Repository Structure: DSAN |└───amazon |    └── dataset (Amazo

DMIRLAB 17 Jan 04, 2023
Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences"

Syntax-Customized-Video-Captioning Code for the TPAMI paper: "Syntax Customized Video Captioning by Imitating Exemplar Sentences". This is my second w

3 Dec 05, 2022
(Personalized) Page-Rank computation using PyTorch

torch-ppr This package allows calculating page-rank and personalized page-rank via power iteration with PyTorch, which also supports calculation on GP

Max Berrendorf 69 Dec 03, 2022
QMagFace: Simple and Accurate Quality-Aware Face Recognition

Quality-Aware Face Recognition 26.11.2021 start readme QMagFace: Simple and Accurate Quality-Aware Face Recognition Research Paper Implementation - To

Philipp Terhörst 59 Jan 04, 2023
Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning"

CAPGNN Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning" Paper URL: https://ar

1 Mar 12, 2022
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (CVPR 2021)

Back to the Feature with PixLoc We introduce PixLoc, a neural network for end-to-end learning of camera localization from an image and a 3D model via

Computer Vision and Geometry Lab 610 Jan 05, 2023
Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning

isvd Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning If you find this code useful, you may cite us as: @inprocee

Sami Abu-El-Haija 16 Jan 08, 2023
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling This repository contains the implementation for the paper Diffusion

James Thornton 50 Jan 03, 2023
PASSL包含 SimCLR,MoCo,BYOL,CLIP等基于对比学习的图像自监督算法以及 Vision-Transformer,Swin-Transformer,BEiT,CVT,T2T,MLP_Mixer等视觉Transformer算法

PASSL Introduction PASSL is a Paddle based vision library for state-of-the-art Self-Supervised Learning research with PaddlePaddle. PASSL aims to acce

186 Dec 29, 2022
Vehicle speed detection with python

Vehicle-speed-detection In the project simulate the tracker.py first then simulate the SpeedDetector.py. Finally, a new window pops up and the output

3 Dec 15, 2022
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting

Real-Time Seizure Detection using Electroencephalogram (EEG) This is the repository for "Real-Time Seizure Detection using EEG: A Comprehensive Compar

AITRICS 30 Dec 17, 2022
Implementation of SwinTransformerV2 in TensorFlow.

SwinTransformerV2-TensorFlow A TensorFlow implementation of SwinTransformerV2 by Microsoft Research Asia, based on their official implementation of Sw

Phan Nguyen 2 May 30, 2022
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency[ECCV 2020]

Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency(ECCV 2020) This is an official python implementati

304 Jan 03, 2023
[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

Self-Supervised Learning of Image Scale and Orientation Estimation (BMVC 2021) This is the official implementation of the paper "Self-Supervised Learn

Jongmin Lee 17 Nov 10, 2022
Face Mask Detection System built with OpenCV, TensorFlow using Computer Vision concepts

Face mask detection Face Mask Detection System built with OpenCV, TensorFlow using Computer Vision concepts in order to detect face masks in static im

Vaibhav Shukla 1 Oct 27, 2021
Semantic similarity computation with different state-of-the-art metrics

Semantic similarity computation with different state-of-the-art metrics Description • Installation • Usage • License Description TaxoSS is a semantic

6 Jun 22, 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models

SWAG: Supervised Weakly from hashtAGs This repository contains SWAG models from the paper Revisiting Weakly Supervised Pre-Training of Visual Percepti

Meta Research 134 Jan 05, 2023