To Cite, or Not to Cite? Detecting Citation Contexts in Text

Färber, Michael; Thiemann, Alexander; Jatowt, Adam

doi:10.1007/978-3-319-76941-7_50

Cited by 29 publications

(37 citation statements)

References 12 publications

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“…Table 2 summarizes the results in terms of the precision, recall, F1 score for l c , and overall weighted F1 score. The baseline numbers reported here are either from prior works (Färber et al, 2018;Bonab et al, 2018;Zeng and Acuna, 2020) or based on architectures very similar to those used in these prior works. On the SEPID-cite dataset, our SC model obtained significantly better performance than the state-of-the-art results from (Zeng and The results on the ACL-cite dataset clearly show the importance of context in this domain.…”

Section: Resultsmentioning

confidence: 99%

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

Gosangi¹,

Arora²,

Gheisarieha³

et al. 2021

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Langua

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In this paper, we study the importance of context in predicting the citation worthiness of sentences in scholarly articles. We formulate this problem as a sequence labeling task solved using a hierarchical BiLSTM model. We contribute a new benchmark dataset containing over two million sentences and their corresponding labels. We preserve the sentence order in this dataset and perform document-level train/test splits, which importantly allows incorporating contextual information in the modeling process. We evaluate the proposed approach on three benchmark datasets. Our results quantify the benefits of using context and contextual embeddings for citation worthiness. Lastly, through error analysis, we provide insights into cases where context plays an essential role in predicting citation worthiness. Conclusion 0.

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Section: Resultsmentioning

confidence: 99%

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

Gosangi¹,

Arora²,

Gheisarieha³

et al. 2021

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Langua

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“…Determining the cite-worthiness, which is similar to determining the citation function, is not tackled in the approaches. However, there have been separate attempts at solving this task [54,148] (and related: [3]). Also, with respect to performing the evaluation, having a flexible citation context makes it very tricky to compare the approaches in offline evaluations with the citation contexts and their citations from the ground truth.…”

Section: Citation Context Length the Size Of The Citation Contextmentioning

confidence: 99%

“…ACL-ARC is based on the ACL Anthology website and contains the source PDF files (about 11k for the February 2007 snapshot), the corresponding content as plaintext, and metadata of the documents taken either from the website or from the PDFs. -arXiv CS [52] This data set, used by [51,54], was obtained by utilizing all arXiv.org source data of the computer science domain and transforming the L A T E X files into plaintext by an own implemented T E Xparser. As far as possible, each reference is linked to its DBLP entry.…”

Section: Overview Of Data Setsmentioning

confidence: 99%

“…Among others, one reason for missing citations is the page restriction which authors need to fulfill for submitting papers to venues. 33 In the past, there have been a few approaches for assessing the cite-worthiness of potential citation contexts automatically, however, only in the sense of a binary classification task [23,53,54,148]. Although there are single works on characterizing the citation context, such as on the citation function, the citation importance, and the citation polarity (see Sect.…”

Section: Cite-worthiness Of Contextsmentioning

confidence: 99%

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Citation recommendation: approaches and datasets

Färber

Jatowt

2020

Int J Digit Libr

Self Cite

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Citation recommendation describes the task of recommending citations for a given text. Due to the overload of published scientific works in recent years on the one hand, and the need to cite the most appropriate publications when writing scientific texts on the other hand, citation recommendation has emerged as an important research topic. In recent years, several approaches and evaluation data sets have been presented. However, to the best of our knowledge, no literature survey has been conducted explicitly on citation recommendation. In this article, we give a thorough introduction to automatic citation recommendation research. We then present an overview of the approaches and data sets for citation recommendation and identify differences and commonalities using various dimensions. Last but not least, we shed light on the evaluation methods and outline general challenges in the evaluation and how to meet them. We restrict ourselves to citation recommendation for scientific publications, as this document type has been studied the most in this area. However, many of the observations and discussions included in this survey are also applicable to other types of text, such as news articles and encyclopedic articles.

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“…We classified them in 3 main categories: a) fixed number of characters b) citing sentence c) extended context (fixed and adaptive), and we summarized our analysis in Figure1. We focus on the strategies to identify the correct textual CC of a citation, nevertheless other CC related topics have been investigated in literature as for example citation recommendations (see Farber (2018) and Ebesu (2017)) The belief of the need of a clear introductory survey about how CC has been differently shaped in literature came to our mind when we faced the problem of defining the optimal CC for the Semantic Coloring of Academic References (SCAR) project 1 (Di Iorio et al, 2018). The goal of the SCAR project is to enrich bibliographies of scientific articles by adding explicit meta data about individual bibliographic entries and to characterize these entries according to multiple criteria.…”

Section: Figure 1: Survey Summarymentioning

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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To Cite, or Not to Cite? Detecting Citation Contexts in Text

Cited by 29 publications

References 12 publications

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles

Citation recommendation: approaches and datasets

Identifying Citation Contexts: a Review of Strategies and Goals.

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