Abstract
This work presents a new, scalable solution to the problem of extracting citation contexts: the textual fragments surrounding citation references. These citation contexts can be used to navigate digital libraries of research papers to help users in deciding what to read. We have developed a prototype system which can retrieve, on-demand, citation contexts from the full text of over 15 million research articles in the Mendeley catalog for a given reference research paper. The evaluation results show that our citation extraction system provides additional functionality over existing tools, has two orders of magnitude faster runtime performance, while providing a 9% improvement in F-measure over the current state-of-the-art.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Khabsa, M., Giles, C.L.: The number of scholarly documents on the public web. PLOS ONE 9(5), 1–6 (2014)
Björk, B., Roos, A., Lauri, M.: Scientific journal publishing: yearly volume and open access availability. Inf. Res. 14(1) (2009)
Bornmann, L., Mutz, R.: Growth rates of modern science: A bibliometric analysis. CoRR abs/1402.4578 (2014)
Hristakeva, M., Kershaw, D., Rossetti, M., Knoth, P., Pettit, B., Vargas, S., Jack, K.: Building recommender systems for scholarly information. In: 1st International Workshop on Scholarly Web Mining (SWM), International Conference on Web Search and Data Mining (2017)
Knoth, P., Zdráhal, Z.: CORE: three access levels to underpin open access. D-Lib Mag. 18(11/12) (2012)
Knoth, P., Anastasiou, L., Charalampous, A., Cancellieri, M., Pearce, S., Pontika, N., Bayer, V.: Towards effective research recommender systems for repositories. In: Proceedings of Open Repositories 2017, Open Repositories (2017)
Pride, D., Knoth, P.: Incidental or influential? - challenges in automatically detecting citation importance using publication full texts. In: 21st International Conference on Theory and Practice of Digital Libraries (TPDL) (2017)
Garfield, E., et al.: Citation analysis as a tool in journal evaluation. American Association for the Advancement of Science (1972)
Lafferty, J., McCallum, A., Pereira, F.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the 18th International Conference on Machine Learning, pp. 282–289. Morgan Kaufmann, San Francisco (2001)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. SIGKDD Explor. Newsl. 11(1), 10–18 (2009)
Kudo, T.: CRF++: Yet another CRF toolkit. Software (2005), https://taku910.github.io/crfpp/
Tkaczyk, D., Szostek, P., Dendek, P.J., Fedoryszak, M., Bolikowski, L.: CERMINE - automatic extraction of metadata and references from scientific literature. In: 11th IAPR International Workshop on Document Analysis Systems, DAS 2014, Tours, France, 7–10 April 2014, pp. 217–221 (2014)
Councill, I.G., Giles, C.L., Kan, M.: Parscit: an open-source CRF reference string parsing package. In: Proceedings of the International Conference on Language Resources and Evaluation, LREC 2008, 26 May–1 June. European Language Resources Association, Marrakech, June 2008
Luong, M.T., Nguyen, T.D., Kan, M.Y.: Logical structure recovery in scholarly articles with rich document features. IJDLS 1(4), 1–23 (2010)
Kern, R., Klampfl, S.: Extraction of references using layout and formatting information from scientific articles. D-Lib Mag. 19(9/10) (2013)
Hearst, M.A.: Texttiling: segmenting text into multi-paragraph subtopic passages. Computat. Linguist. 23(1), 33–64 (1997)
Teufel, S., Siddharthan, A., Tidhar, D.: Automatic classification of citation function. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP 2006, pp. 103–110. Association for Computational Linguistics, Stroudsburg (2006)
Valenzuela, M., Ha, V., Etzioni, O.: Identifying meaningful citations. In: AAAI Workshops (2015)
Gipp, B., Beel, J.: Citation Proximity Analysis (CPA) - a new approach for identifying related work based on co-citation analysis. In: Larsen, B., Leta, J. (eds.) Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI 2009), vol. 2. International Society for Scientometrics and Informetrics, Rio de Janeiro, July 2009. ISSN 2175–1935
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Knoth, P., Gooch, P., Jack, K. (2017). What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2017. Lecture Notes in Computer Science(), vol 10450. Springer, Cham. https://doi.org/10.1007/978-3-319-67008-9_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-67008-9_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67007-2
Online ISBN: 978-3-319-67008-9
eBook Packages: Computer ScienceComputer Science (R0)