Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing
CC BY
Lưu vào:
Tác giả chính: | , , |
---|---|
Định dạng: | Sách |
Ngôn ngữ: | English |
Nhà xuất bản: |
Springer
2023
|
Chủ đề: | |
Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s00799-023-00360-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7674 |
Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
id |
oai:localhost:PNK-7674 |
---|---|
record_format |
dspace |
spelling |
oai:localhost:PNK-76742023-04-07T08:06:07Z Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing Allard, Oelen Markus, Stocker Sören, Auer TinyGenius Natural language processing CC BY Due to the growing number of scholarly publications, finding relevant articles becomes increasingly difficult. Scholarly knowledge graphs can be used to organize the scholarly knowledge presented within those publications and represent them in machine-readable formats. Natural language processing (NLP) provides scalable methods to automatically extract knowledge from articles and populate scholarly knowledge graphs. However, NLP extraction is generally not sufficiently accurate and, thus, fails to generate high granularity quality data. In this work, we present TinyGenius, a methodology to validate NLP-extracted scholarly knowledge statements using microtasks performed with crowdsourcing. TinyGenius is employed to populate a paper-centric knowledge graph, using five distinct NLP methods. 2023-04-07T08:06:07Z 2023-04-07T08:06:07Z 2023 Book https://link.springer.com/article/10.1007/s00799-023-00360-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7674 en application/pdf Springer |
institution |
Digital Phenikaa |
collection |
Digital Phenikaa |
language |
English |
topic |
TinyGenius Natural language processing |
spellingShingle |
TinyGenius Natural language processing Allard, Oelen Markus, Stocker Sören, Auer Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing |
description |
CC BY |
format |
Book |
author |
Allard, Oelen Markus, Stocker Sören, Auer |
author_facet |
Allard, Oelen Markus, Stocker Sören, Auer |
author_sort |
Allard, Oelen |
title |
Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing |
title_short |
Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing |
title_full |
Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing |
title_fullStr |
Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing |
title_full_unstemmed |
Creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing |
title_sort |
creating and validating a scholarly knowledge graph using natural language processing and microtask crowdsourcing |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s00799-023-00360-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7674 |
_version_ |
1762546699515985920 |
score |
8.891695 |