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Incidental or Influential? - Challenges in Automatically Detecting Citation Importance Using Publication Full Texts [chapter]

David Pride, Petr Knoth
2017 Lecture Notes in Computer Science  
This work looks in depth at several studies that have attempted to automate the process of citation importance classification based on the publications' full text.  ...  We analyse a range of features that have been previously used in this task. Our experimental results confirm that the number of in-text references are highly predictive of influence.  ...  Acknowledgements This work has been funded by Jisc and has also received support from the scholarly communications use case of the EU OpenMinTeD project under the H2020-EINFRA-2014-2 call, Project ID:  ... 
doi:10.1007/978-3-319-67008-9_48 fatcat:qmfrbadwvbfa5oeqtcrhse5k7a

Mining the Context of Citations in Scientific Publications [chapter]

Saeed-Ul Hassan, Sehrish Iqbal, Mubashir Imran, Naif Radi Aljohani, Raheel Nawaz
2018 Lecture Notes in Computer Science  
For this purpose, numerous techniques have been proposed that tap the power of artificial intelligence models to detect important or incidental (non-important) citations in full text scholarly publications  ...  To mine this information, absolute citations merely fail to measure the importance of scientific literature, as a citation may have a specific context in full text.  ...  In this paper, we aim to address the problem of classifying cited work as important or incidental.  ... 
doi:10.1007/978-3-030-04257-8_32 fatcat:vsreqy3dbzfr5cskmolwlsnw4a

A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies [article]

Sehrish Iqbal, Saeed-Ul Hassan, Naif Radi Aljohani, Salem Alelyani, Raheel Nawaz, Lutz Bornmann
2020 arXiv   pre-print
Due to better access to full-text publication corpora in recent years, information scientists have gone far beyond traditional bibliometrics by tapping into advancements in full-text data processing techniques  ...  Citation analysis is one of the most frequently used methods in research evaluation.  ...  as either important or incidental.  ... 
arXiv:2008.13020v1 fatcat:jijpqtyhhrf6nbpmzybtylseka

A Meta-analysis of Semantic Classification of Citations

Suchetha N. Kunnath, Drahomira Herrmannova, David Pride, Petr Knoth
2021 Quantitative Science Studies  
The review highlights the importance of identifying the citation types for research evaluation, the challenges faced by the researchers in the process and the existing research gaps in this field.  ...  the fine-grained linguistic features in the surrounding text of citations.  ...  All the literature reviewed in this paper for citation importance identification use binary classification schemes; Incidental/Non-Important and Important/Influential.  ... 
doi:10.1162/qss_a_00159 fatcat:ng6ogcs3rzbr5c5jyulax5cddy

Towards Establishing a Research Lineage via Identification of Significant Citations

Tirthankar Ghosal, Piyush Tiwary, Robert Patton, Christopher Stahl
2021 Quantitative Science Studies  
Citations play a crucial role in discovering relevant literature. However, not all citations are created equal.  ...  In this work, we discuss our investigations towards discovering significant citations of a given paper.  ...  The views expressed in the article do not necessarily represent the views of the DOE or the U.S. government.  ... 
doi:10.1162/qss_a_00170 fatcat:yc3jqm2pgzdevgnkdrtrexw3la

Exploring the Implications of Artificial Intelligence in Various Aspects of Scholarly Peer Review

Tirthankar Ghosal
2019 Bulletin of IEEE Technical Committee on Digital Libraries  
The project is challenging, vast and incorporates several features which closely resembles human behavior to identify quality and appropriate manuscripts.  ...  This doctoral work aims to explore the possible avenues in academic peer review where Artificial Intelligence (AI) could have a positive impact.  ...  I also extend my gratitude to ACM SIGIR for awarding me the Student Support Travel Grant to attend and present my work in JCDL 2018.  ... 
dblp:journals/tcdl/Ghosal19 fatcat:6we7jpytqndtlcjbc5ky5my5kq

Extracting and quantifying eponyms in full-text articles

Guillaume Cabanac
2013 Scientometrics  
Nonetheless, we failed to find any attempt of eponym quantification in a large volume of full-text publications.  ...  This article introduces a semi-automatic text mining approach to extracting eponyms and quantifying their use in such datasets.  ...  Gilles Hubert on an earlier version of this article. 10 Although considering all full-text articles currently available online, the present study only covers years 2010 to 2013.  ... 
doi:10.1007/s11192-013-1091-8 fatcat:lh7i7c2iejg67fhg42tu6wdn5i

Creation of bibliometric tools for evaluation based on data from Google Scholar

Alberto Martín-Martín, Emilio Delgado López-Cózar
2019 Zenodo  
The general goal of this thesis was to explore whether it is feasible and sustainable to re-use data available in GS to generate data products or tools of a bibliometric nature that provide functionalities  ...  Apart from being the most frequently used tool by researchers to find scholarly information, what made GS stand out was that it builds its own citation graph by processing the references at the end of  ...  All articles and reviews with a DOI and published in 2009 or 2014 and covered by the three main citation indexes in the Web of Science (2,269,022 documents) were selected for study.  ... 
doi:10.5281/zenodo.3241712 fatcat:vjkjzo4zenhglji6asjl46rzly

Citation analysis of database publications

Erhard Rahm, Andreas Thor
2005 SIGMOD record  
He is an invited expert to the W3C Full-Text Task Force, and is also the recipient of the NSF CAREER Award and an IBM Faculty Award.  ...  He received the 2002 VLDB ten-year award for his work on automatic tuning.  ...  Sihem is a co-editor of the XQuery Full-Text language specification [59] and use cases [58] published in September 2005 by the Full-Text Task Force in the W3C whose charter is to extend XQuery with  ... 
doi:10.1145/1107499.1107505 fatcat:c4evhhw6y5difggghxsvvdqzeu

An Extensive Knowledge Mapping Review of Measurement and Validity in Language Assessment and SLA Research

Vahid Aryadoust, Azrifah Zakaria, Mei Hui Lim, Chaomei Chen
2020 Frontiers in Psychology  
We applied document co-citation analysis to detect thematically distinct research clusters.  ...  It was further found that the majority of citing publications in the two datasets did not carry out inference-based validation on their instruments before using them.  ...  The publications that are clustered together (like factors in factor analysis) may be then inspected for their thematic relationships, either automatically through text-mining methods or manually by experts  ... 
doi:10.3389/fpsyg.2020.01941 pmid:33013505 pmcid:PMC7500166 fatcat:7d6l6k6slzcb5bf5pf2fgp4may

Leveraging Multimedia to Advance Science by Disseminating a Greater Variety of Scholarly Contributions in More Accessible Formats

James Gaskin, Paul Lowry, David Hull
2016 Journal of the AIS  
Given the radical advances in audiovisual technologies, storage and bandwidth capacities, public virtual infrastructure, and global acceptance of usergenerated open content, the time is ripe to exploit  ...  By failing to recognize, reward, and publish the wide variety of scholarly contributions that do not suit print-style papers, we hinder scientific progress, devalue important and necessary contributions  ...  Items 1, 2, and 3 below help authors avoid designs that would distract from the messages in items 4 and 5.  ... 
doi:10.17705/1jais.00430 fatcat:4orcr5qn65g6llnb5t6wlcmgay

A Study of Innovative Features in Scholarly Open Access Journals

Bo-Christer Björk
2011 Journal of Medical Internet Research  
Members have the opportunity to participate in a body central to the well being of our industry.  ...  The mission of STM is to create a platform for exchanging ideas and information and to represent the interest of the STM publishing community in the fields of copyright, technology developments, and end  ...  It differs from arXiv in that it does not contain full-text articles, that is the journal article records are for abstracts and bibliographic information only, although many have links to full text versions  ... 
doi:10.2196/jmir.1802 pmid:22173122 pmcid:PMC3278101 fatcat:hd62uzahlfc6bbf2gsey62mwse

Past and Trends in Cough Sound Acquisition, Automatic Detection and Automatic Classification: A Comparative Review

Antoine Serrurier, Christiane Neuschaefer-Rube, Rainer Röhrig
2022 Sensors  
This study provides an updated exhaustive quantitative review of the field of cough sound acquisition, automatic detection in longer audio sequences and automatic classification of the nature or disease  ...  A list of objective criteria was established to select a subset of the most complete detection studies in the perspective of deployment in clinical practice.  ...  Automatic processing has used a large variety of features (see the section Features in the Results).  ... 
doi:10.3390/s22082896 pmid:35458885 pmcid:PMC9027375 fatcat:w6tryjizhjbtzgozqwnqkb43v4

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science

Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
2021 Journal of Social Computing  
To explore the answer, we give a thorough review of data representations in CSS for both text and network.  ...  However, these large-scale and multi-modal data also present researchers with a great challenge: how to represent data effectively to mine the meanings we want in CSS?  ...  For example, as introduced in the application section, we can use neural networks to automatically restore the missing Babylonian text, which is challenging even for experts.  ... 
doi:10.23919/jsc.2021.0011 fatcat:sczl7racpng75agdrddgnrex3q

5W+1H pattern: A perspective of systematic mapping studies and a case study on cloud software testing

Changjiang Jia, Yan Cai, Yuen Tak Yu, T.H. Tse
2016 Journal of Systems and Software  
We also share our experiences and lessons learned from our case study on the use of the 5W+1H pattern in mapping studies.  ...  In terms of citation relationships within the PS, the three topic-layer combinations, robustness testing in the IaaS layer, testing parallelization in the SaaS layer, and integration testing in the SaaS  ...  Also, by manually reading the full text of each paper in the PVS (in addition to the preceding stages of examining its abstract, introduction, and conclusion), we verified that the paper indeed satisfied  ... 
doi:10.1016/j.jss.2015.01.058 fatcat:e3tq5p6hyrfwfhmd5qjy5fsq2m
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