Standard

Using Extended Stopwords Lists to Improve the Quality of Academic Abstracts Clustering. / Popova, Svetlana; Danilova, Vera.

In: Lecture Notes in Computer Science, Vol. 10034, 2017.

Research output: Contribution to journal › Article › peer-review

Harvard

Popova, S & Danilova, V 2017, 'Using Extended Stopwords Lists to Improve the Quality of Academic Abstracts Clustering', Lecture Notes in Computer Science, vol. 10034. <https://link.springer.com/chapter/10.1007/978-3-319-55961-2_24>

APA

Popova, S., & Danilova, V. (2017). Using Extended Stopwords Lists to Improve the Quality of Academic Abstracts Clustering. Lecture Notes in Computer Science, 10034. https://link.springer.com/chapter/10.1007/978-3-319-55961-2_24

Vancouver

Popova S, Danilova V. Using Extended Stopwords Lists to Improve the Quality of Academic Abstracts Clustering. Lecture Notes in Computer Science. 2017;10034.

Author

Popova, Svetlana ; Danilova, Vera. / Using Extended Stopwords Lists to Improve the Quality of Academic Abstracts Clustering. In: Lecture Notes in Computer Science. 2017 ; Vol. 10034.

BibTeX

@article{d5a962eddf0e49859a9e41e18e4ef68d,
title = "Using Extended Stopwords Lists to Improve the Quality of Academic Abstracts Clustering",
abstract = "Knowledge extraction from scientific documents plays an important role in the development of academic databases and services. We focus on the processing of abstracts to academic papers for the purposes of research data structuring that includes various subtasks, such as key phrase extraction and clustering. The use of abstracts is beneficial, because authors keep up with formal and stylistic requirements imposed by the publishers, and, therefore, informational and language patterns can be revealed. From our viewpoint, the existence of these patterns makes it possible to perform the cross-task application of techniques used for abstracts processing. The aim of the paper is to show it.",
keywords = "Clustering Stopwords Document representation Extended stopwords list construction Natural Language Processing",
author = "Svetlana Popova and Vera Danilova",
year = "2017",
language = "English",
volume = "10034",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Using Extended Stopwords Lists to Improve the Quality of Academic Abstracts Clustering

AU - Popova, Svetlana

AU - Danilova, Vera

PY - 2017

Y1 - 2017

N2 - Knowledge extraction from scientific documents plays an important role in the development of academic databases and services. We focus on the processing of abstracts to academic papers for the purposes of research data structuring that includes various subtasks, such as key phrase extraction and clustering. The use of abstracts is beneficial, because authors keep up with formal and stylistic requirements imposed by the publishers, and, therefore, informational and language patterns can be revealed. From our viewpoint, the existence of these patterns makes it possible to perform the cross-task application of techniques used for abstracts processing. The aim of the paper is to show it.

AB - Knowledge extraction from scientific documents plays an important role in the development of academic databases and services. We focus on the processing of abstracts to academic papers for the purposes of research data structuring that includes various subtasks, such as key phrase extraction and clustering. The use of abstracts is beneficial, because authors keep up with formal and stylistic requirements imposed by the publishers, and, therefore, informational and language patterns can be revealed. From our viewpoint, the existence of these patterns makes it possible to perform the cross-task application of techniques used for abstracts processing. The aim of the paper is to show it.

KW - Clustering Stopwords Document representation Extended stopwords list construction Natural Language Processing

M3 - Article

VL - 10034

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -

ID: 7746938