Editorial for the First Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics

TL;DR

This paper introduces a workshop that explores how computational linguistics and text analytics can enhance bibliometric analysis of scientific papers, fostering interdisciplinary research between NLP and bibliometrics.

Contribution

It presents the first workshop dedicated to integrating NLP techniques with bibliometrics to improve scientific paper analysis and author network studies.

Findings

Identifies potential for NLP to improve citation network analysis

Highlights interdisciplinary benefits for bibliometrics and NLP

Sets foundation for future research in scientific text mining

Abstract

The workshop "Mining Scientific Papers: Computational Linguistics and Bibliometrics" (CLBib 2015), co-located with the 15th International Society of Scientometrics and Informetrics Conference (ISSI 2015), brought together researchers in Bibliometrics and Computational Linguistics in order to study the ways Bibliometrics can benefit from large-scale text analytics and sense mining of scientific papers, thus exploring the interdisciplinarity of Bibliometrics and Natural Language Processing (NLP). The goals of the workshop were to answer questions like: How can we enhance author network analysis and Bibliometrics using data obtained by text analytics? What insights can NLP provide on the structure of scientific writing, on citation networks, and on in-text citation analysis? This workshop is the first step to foster the reflection on the interdisciplinarity and the benefits that the two disciplines Bibliometrics and Natural Language Processing can drive from it.