Citations, contexts, and humanistic discourse: Toward automatic extraction and classification

Sula, Chris Alen; Miller, Matthew

doi:10.1093/llc/fqu019

Cited by 37 publications

(28 citation statements)

References 38 publications

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“…Results showed that some disciplines may have more functions and functions that differ from other disciplines, possibly because of the differences in scholars' citing behaviors in different disciplines. For example, the study by Sula and Miller (2014) revealed that linguistics showed the most "positive" citations and philosophy had the most "negative" citations.…”

Section: Summarizing the Empirical Resultsmentioning

confidence: 99%

“…Negative citation contexts may dispute claims, show points of disagreement and weaknesses of previous works, etc. (Sula & Miller, 2014). Investigating the positive, negative, and neutral attitudes of citing authors toward a cited paper discloses the overall attitude of the scientific community about the cited paper (Jha et al, 2017).…”

Section: Summarizing the Empirical Resultsmentioning

confidence: 99%

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What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

2019

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The purpose of this paper is to update the review of Bornmann and Daniel (2008) presenting a narrative review of studies on citations in scientific documents. The current review covers 41 studies published between 2006 and 2018. Bornmann and Daniel (2008) focused on earlier years. The current review describes the (new) studies on citation content and context analyses as well as the studies that explore the citation motivation of scholars through surveys or interviews. One focus in this paper is on the technical developments in the last decade, such as the richer meta-data available and machine-readable formats of scientific papers. These developments have resulted in citation context analyses of large datasets in comprehensive studies (which was not possible previously). Many studies in recent years have used computational and machine learning techniques to determine citation functions and polarities, some of which have attempted to overcome the methodological weaknesses of previous studies. The automated recognition of citation functions seems to have the potential to greatly enhance citation indices and information retrieval capabilities. Our review of the empirical studies demonstrates that a paper may be cited for very different scientific and non-scientific reasons. This result accords with the finding by Bornmann and Daniel (2008). The current review also shows that to better understand the relationship between citing and cited documents, a variety of features should be analyzed, primarily the citation context, the semantics and linguistic patterns in citations, citation locations within the citing document, and citation polarity (negative, neutral, positive).

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Section: Summarizing the Empirical Resultsmentioning

confidence: 99%

Section: Summarizing the Empirical Resultsmentioning

confidence: 99%

What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

2019

View full text Add to dashboard Cite

show abstract

“…Machine-learning techniques are a dominant methodological element in citation sentiment studies. In addition to SVM (see also Hernández-Alvarez & Gómez, 2015;Kim & Thoma, 2015;Xu, Martin, & Mahidadia, 2013), notable examples include random forest (Abu-Jbara, Ezra, & Radev, 2013;Parthasarathy & Tomar, 2014), naïve Bayes (Butt et al, 2015;Sula & Miller, 2014), and neural network methods (Lauscher, Glavaš, Ponzetto, & Eckert, 2017). Within this category, SentiWordNet, a lexical resource for opinion mining that is partly based on a semisupervised machine-learning method, has also been used in a number of studies (Goodarzi, Mahmoudi, & Zamani, 2014;Sendhilkumar, Elakkiya, & Mahalakshmi, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

Authors' status and the perceived quality of their work: Measuring citation sentiment change in nobel articles

Yan

Chen

2019

Asso for Info Science & Tech

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Prior research in status ordering has used numeric indicators to examine the impact of a status change on the perception of a scientist's work. This study measures the perception change directly as reflected in citation sentiment, with the attainment of a Nobel Prize in Chemistry or a Nobel Prize in Physiology or Medicine considered the status change. The article identifies 12,393 citances to 25 Nobel articles in PubMed Central and includes a control article set of 75 articles with 30,851 citances. The results show a moderate increase in citation sentiment toward Nobel articles postaward. Dynamically, for Nobel articles there is a steady sentiment increase, and a Nobel Prize seems to co-occur with this trend. This trend, however, is not evident in the control article set.

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“…Despite Elkiss study did not rely on any strictly sentence based technique (they employed cosine similarity and tf-idf), both their hypothesis are grounded on the importance of citing sentences boundaries. Sula and Miller (2014) presented an experimental tool for extracting and classifying citation contexts in humanities. Their approach is based on citing sentences from which they extracted features (e.g.…”

Section: Citing Sentencementioning

confidence: 99%

Identifying Citation Contexts: a Review of Strategies and Goals.

Rotondi¹,

Iorio²,

Limpens³

2018

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

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English. The Citation Contexts of a cited entity can be seen as little tesserae that, fit together, can be exploited to follow the opinion of the scientific community towards that entity as well as to summarize its most important contents. This mosaic is an excellent resource of information also for identifying topic specific synonyms, indexing terms and citers' motivations, i.e. the reasons why authors cite other works. Is a paper cited for comparison, as a source of data or just for additional info? What is the polarity of a citation? Different reasons for citing reveal also different weights of the citations and different impacts of the cited authors that go beyond the mere citation count metrics. Identifying the appropriate Citation Context is the first step toward a multitude of possible analysis and researches. So far, Citation Context have been defined in several ways in literature, related to different purposes, domains and applications. In this paper we present different dimensions of Citation Context investigated by researchers through the years in order to provide an introductory review of the topic to anyone approaching this subject. Italiano. Possiamo pensare ai Contesti Citazionali come tante tessere che, unite, possono essere sfruttate per seguire l'opinione della comunità scientifica riguardo ad un determinato lavoro o per riassumerne i contenuti più importanti. Questo mosaico di informazioni può essere utilizzato per identificare sinonimi specifici e Index Terms nonchè per individuare i motivi degli autori dietro le citazioni. Identificare il Contesto Citazionale ottimaleè il primo passo per numerose analisi e ricerche. Il Contesto Citazionaleè stato definito in diversi modi in letteratura, in relazione a differenti scopi, domini e applicazioni. In questo paper presentiamo le principali dimensioni testuali di Contesto Citazionale investigate dai ricercatori nel corso degli anni.

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Citations, contexts, and humanistic discourse: Toward automatic extraction and classification

Cited by 37 publications

References 38 publications

What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

Authors' status and the perceived quality of their work: Measuring citation sentiment change in nobel articles

Identifying Citation Contexts: a Review of Strategies and Goals.

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