NLPContributionGraph Trial Dataset - An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature

Dataset

Researchers

External organisation

  • German National Library of Science and Technology (TIB)

Details

Date made available2020
PublisherForschungsdaten-Repositorium der LUH
Contact personSören Auer

Description

This dataset is the result of a pilot annotation exercise to capture the scholarly contributions in natural language processing (NLP) articles, particularly, for the articles that discuss machine learning (ML) approaches for various information extraction tasks. The pilot annotation exercise was performed on 50 NLP-ML scholarly articles presenting contributions to the five information extraction tasks 1. machine translation, 2. named entity recognition, 3. question answering, 4. relation classification, and 5. text classification.

The outcome of this pilot annotation exercise was two-fold: 1) a preliminary annotation methodology, and 2) the dataset released in this repository.

The resulting annotation scheme is called NLPContributions.