Crowdsourcing-Based Evaluation of Automatic References Between WordNet and Wikipedia

Author:

Szymański Julian1,Boiński Tomasz1

Affiliation:

1. Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 11/12 Narutowicza Street, 80-233 Gdańsk, Poland

Abstract

The paper presents an approach to build references (also called mappings) between WordNet and Wikipedia. We propose four algorithms used for automatic construction of the references. Then, based on an aggregation algorithm, we produce an initial set of mappings that has been evaluated in a cooperative way. For that purpose, we implement a system for the distribution of evaluation tasks, that have been solved by the user community. To make the tasks more attractive, we embed them into a game. Results show the initial mappings have good quality, and they have also been improved by the community. As a result, we deliver a high quality dataset of the mappings between two lexical repositories: WordNet and Wikipedia, that can be used in a wide range of NLP tasks. We also show that the framework for collaborative validation can be used in other tasks that require human judgments.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Active Learning Based on Crowdsourced Data;Applied Sciences;2022-01-01

2. Collaborative Data Acquisition and Learning Support;Computer Information Systems and Industrial Management;2020

3. Fluent Editor and Controlled Natural Language in Ontology Development;International Journal on Artificial Intelligence Tools;2019-06

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