Anaphora Resolution: Analysing the Impact on Mean Average Precision and Detecting Limitations of Automated Approaches

Daniel Gros, Tim Habermann, Giulia Kirstein, Christine Meschede, S. Denise Ruhrberg, Adrian Schmidt and Tobias Siebenlist
Additional contact information
Tim Habermann: Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Giulia Kirstein: Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Christine Meschede: Heinrich Heine University Düsseldorf, Düsseldorf, Germany
S. Denise Ruhrberg: Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Adrian Schmidt: Heinrich Heine University Düsseldorf, Düsseldorf, Germany
Tobias Siebenlist: Heinrich Heine University Düsseldorf, Düsseldorf, Germany

International Journal of Information Retrieval Research (IJIRR), 2018, vol. 8, issue 3, 33-45

Abstract: This article analyses the effect of anaphora resolution on information retrieval performance for systems with relevance ranking. It will be investigated if the Mean Average Precision of a retrieval system is improved after an intellectual replacement of all anaphors in a corpus with various texts. These texts mostly consist of news stories and fairy tales, thus covering two varying genres with different amounts of anaphors. A model retrieval system is developed using Lucene to measure the effects of anaphora resolution. Different queries are used and the rankings are analysed in order to show the changes induced by the anaphora resolution. In addition, approaches of automated anaphora resolution are considered. It turns out that the Mean Average Precision improves noticeably by 36% after the anaphora resolution. Thus, it is highly recommended to improve existing approaches of automated anaphora resolution in the future as current attempts do not yet yield satisfying results.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJIRR.2018070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:8:y:2018:i:3:p:33-45

Access Statistics for this article

International Journal of Information Retrieval Research (IJIRR) is currently edited by Zhongyu Lu

More articles in International Journal of Information Retrieval Research (IJIRR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().