Abstract
In a follow-up news article, description of previous news events may be abbreviated or summarized. This feature makes news article difficult to understand if the reader has no knowledge about the previous events. In such a case, providing concrete and detailed descriptions is helpful. In this paper, we propose a five element, who, what, whom, when, and where (5W) model and extraction method with completion functionality. With this model, a news event is represented using these 5Ws. To discover abstract and concrete descriptions of a given event, we propose the novel concept of abstractiveness based on this model. The abstractiveness of an event description is defined based on the difficulty of imagining and identifying that event. Currently, we estimate the abstractiveness of an event by considering the abstract levels and comprehensivity of its 5Ws to identify that event. We also propose a method for estimating the abstractiveness of an event and analyzing the abstract-concrete relationships between news events based on the 5W model. The experimental results indicate that our model, concept, and method are effective for extracting a concrete event description.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
References
Park, S., Kang, S., Chung, S., Song, J.: NewsCube: delivering multiple aspects of news to mitigate media bias. In: SIGCHI, pp. 443–452 (2009)
Teitler, B.E., Lieberman, M.D., Panozzo, D., Sankaranarayanan, J., Samet, H., Sperling, J.: NewsStand: a new view on news. In: SIGSPATIAL, p. 18 (2008)
Kiritoshi, K., Ma, Q.: A diversity-seeking mobile news app based on difference analysis of news articles. In: Chen, Q., Hameurlain, A., Toumani, F., Wagner, R., Decker, H. (eds.) DEXA 2015. LNCS, vol. 9262, pp. 73–81. Springer, Heidelberg (2015)
Kiritoshi, K., Ma, Q.: Named entity oriented difference analysis of news articles and its application. IEICE Trans. Inf. Syst. E99–D(4), 906–917 (2016)
Mihalcea, R., Csomai, A.: Wikify!: linking documents to encyclopedic knowledge. In: CIKM, pp. 233–242 (2007)
Liao, S., Grishman, R.: Using document level cross-event inference to improve event extraction. In: ACL, pp. 909–918 (2010)
Radinsky, K., Davidovich, S., Markovitch, S.: Learning causality for news events prediction. In: WWW, pp. 475–484 (2012)
Tanaka, S., Jatowt, A., Kato, M.P., Tanaka, K.: Estimating content concreteness for finding comprehensible documents. In: WSDM, pp. 782–792 (2013)
Hoffart, J., Yosef, M.A., Bordino, I., Frstenau, H., Pinkal, M., Spaniol, M., Taneva, B., Thater, S., Weikum, G.: Robust disambiguation of named entities in text. In: EMNLP, pp. 782–792 (2011)
Kim, J.: Supervenience and Mind: Selected Philosophical Essays. Cambridge University Press, Cambridge (1993)
Allan, P., Yuille, J.C., Madigan, S.A.: Concreteness, imagery, and meaningfulness: values for 925 nouns. American Psychological Association (1968)
Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J.R., Bethard, S., McClosky, D.: The Stanford CoreNLP natural language processing toolkit. In: ACL, pp. 55–60 (2014)
Hoffman, M.D., Bach, F.R., Blei, D.M.: Online learning for latent dirichlet allocation. In: Advances in Neural Information Processing Systems, pp. 856–864 (2010)
Suchanek, F.M., Kasneci, G., Weikum, G.: Yago: a large ontology from wikipedia and wordnet. Web Semant. Sci. Serv. Agents World Wide Web 6(3), 203–217 (2008)
Von Luxburg, U.: A tutorial on spectral clustering. Stat. Comput. 17(4), 395–416 (2007)
Schieber, B., Vishkin, U.: On finding lowest common ancestors: simplification and parallelization. SIAM J. Comput. 17(6), 81–93 (1988)
Jrvelin, K., Keklinen, J.: Cumulated gain-based evaluation of IR techniques. ACM TOIS 20(4), 422–446 (2002)
National Center for Biotechnology Information. http://www.ncbi.nlm.nih.gov
Acknowledgment
This work is partly supported by KAKENHI (No. 25700033) and SCAT Research Funding.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Horie, S., Kiritoshi, K., Ma, Q. (2016). Abstract-Concrete Relationship Analysis of News Events Based on a 5W Representation Model. In: Hartmann, S., Ma, H. (eds) Database and Expert Systems Applications. DEXA 2016. Lecture Notes in Computer Science(), vol 9828. Springer, Cham. https://doi.org/10.1007/978-3-319-44406-2_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-44406-2_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44405-5
Online ISBN: 978-3-319-44406-2
eBook Packages: Computer ScienceComputer Science (R0)