PaperHunter: A System for Exploring Papers and Citation Contexts
In this paper, we present a system that allows researchers to search for papers and in-text citations in a novel way. Specifically, our system allows users to search for the textual contexts in which publications are cited (so-called citation contexts), given either the cited paper’s title or the cited paper’s author name. To better assess the citations qualitatively, our system displays indications about the so-called citation polarity, i.e., whether the authors wrote about the cited publication in a positive, neutral, or negative way. Our system is based on all computer science papers from arXiv.org and can be used by computer science researchers to reflect on their appearance within the scientific community as well as by researchers studying citations.
KeywordsScientific papers Bibliometrics Citation context Citation polarity
This research has been supported by the Research Innovation Fund of the University of Freiburg (#2100189801), by JSPS KAKENHI grants (#17H01828, #18K19841), and by the MIC/SCOPE (#171507010) grant.
- 2.Fortunato, S., et al.: Science of science. Science 359(6379) (2018). http://science.sciencemag.org/content/359/6379/eaao0185CrossRefGoogle Scholar
- 3.Ware, M., Mabe, M.: The STM report: an overview of scientific and scholarly journal publishing. (2015)Google Scholar
- 4.Färber, M., Thiemann, A., Jatowt, A.: A high-quality gold standard for citation-based tasks. In: Proceedings of the International Conference on Language Resources and Evaluation, LREC 2018 (2018)Google Scholar
- 5.Abu-Jbara, A., Ezra, J., Radev, D.R.: Purpose and polarity of citation: towards NLP-based bibliometrics. In: Proceedings of the 2013 Conference of the North American Chapter of the Association of Computational Linguistics, NAACL 2013, pp. 596–606 (2013)Google Scholar
- 6.Ghosh, S., Das, D., Chakraborty, T.: Determining sentiment in citation text and analyzing its impact on the proposed ranking index. In: Proceedings of the 17th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2016, pp. 292–306 (2016)CrossRefGoogle Scholar
- 7.Athar, A.: Sentiment analysis of citations using sentence structure-based features. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, NAACL 2011, pp. 81–87 (2011)Google Scholar
- 9.Tahamtan, I., Bornmann, L.: Core elements in the process of citing publications: conceptual overview of the literature. J. Inf. 12(1), 203–216 (2018)Google Scholar
- 10.Ding, Y., Zhang, G., Chambers, T., Song, M., Wang, X., Zhai, C.: Content-based citation analysis: the next generation of citation analysis. JASIST 65(9), 1820–1833 (2014)Google Scholar
- 14.Sinha, A., et al.: An overview of microsoft academic service (MAS) and applications. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015, pp. 243–246 (2015)Google Scholar