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Bullseye: structured passage retrieval and document highlighting for scholarly search

Published: 31 January 2017 Publication History

Abstract

We present the Bullseye system for scholarly search. Given a collection of research papers, Bullseye: 1) identifies relevant passages using any off-the-shelf algorithm; 2) automatically detects document structure and restricts retrieved passages to user-specified sections; and 3) highlights those passages for each PDF document retrieved. We evaluate Bullseye with regard to three aspects: system effectiveness, user effectiveness, and user effort. In a system-blind evaluation, users were asked to compare passage retrieval using Bullseye vs. a baseline which ignores document structure, in regard to four types of graded assessments. Results show modest improvement in system effectiveness while both user effectiveness and user effort show substantial improvement. Users also report very strong demand for passage highlighting in scholarly search across both systems considered.

References

[1]
James A., Ben C., and Joshua L. When will information retrieval be good enough? In Proc. of SIGIR, pages 433--440. ACM, 2005.
[2]
Azzah Al-Maskari and Mark S. A review of factors influencing user satisfaction in information retrieval. Journal of the American Society for Information Science and Technology, 61(5):859--868, 2010.
[3]
Bruce C. and Jinxi X. Corpus-specific stemming using word form co-occurence. Citeseer, 1994.
[4]
Joshua C D., Anderson S. III, Kevin B J., Neeraja B P., Josh F P., and Randolph A M. Evaluation of a method to identify and categorize section headers in clinical documents. Journal of the American Medical Informatics Association, 16(6):806--815, 2009.
[5]
Eibe F., Chang C., and Ian H W. Text categorization using compression models. 2000.
[6]
Daniel K., Elke M., Peter S., and Paraic S. Highlighting relevant passages for users of the interactive spider retrieval system. In Proc. of TREC-4, pages 233--244, 1996.
[7]
Jaap K., Maarten M., Maarten D. R., and Börkur S. Xml retrieval: What to retrieve? In Proc. of SIGIR, pages 409--410. ACM, 2003.
[8]
Marcin K. and Justin Z. Passage retrieval revisited. In ACM SIGIR Forum, pages 178--185, 1997.
[9]
Marc L., Gideon S M., Ellen R., and Eric B. Analyses for elucidating current question answering technology. Natural Language Engineering, 7(04):325--342, 2001.
[10]
Mounia L. and Anastasios T. Evaluating xml retrieval effectiveness at inex. In SIGIR Forum, pages 40--57, 2007.
[11]
Natasa Milic-Frayling and Ralph S. Facility for highlighting documents accessed through search or browsing, November 22 2005. US Patent 6,968,332.
[12]
PDFBox. http://pdfbox.apache.org/index.html.
[13]
Salvatore R. Efficient c4. 5 {classification algorithm}. IEEE Transactions on Knowledge and Data Engineering, 14(2):438--444, 2002.
[14]
Gerard S., James A., and Chris B. Approaches to passage retrieval in full text information systems. In Proc. of SIGIR, pages 49--58. ACM, 1993.
[15]
Andrew T., Shlomo G., and Jaap K. Report on the sigir 2007 workshop on focused retrieval. In ACM SIGIR Forum, pages 97--103, 2007.
[16]
M U., Hirotaka O., Itsuo H., HIROYUKI T., Fumio K., Sukehisa U., and Junichi K. Fuzzy decision trees by fuzzy id3 algorithm and its application to diagnosis systems. In Proc. of Fuzzy Systems, pages 2113--2118. IEEE, 1994.

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  • (2024)What Did I Say Again? Relating User Needs to Search Outcomes in Conversational CommerceProceedings of Mensch und Computer 202410.1145/3670653.3670680(129-139)Online publication date: 1-Sep-2024

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      cover image ACM Other conferences
      ACSW '17: Proceedings of the Australasian Computer Science Week Multiconference
      January 2017
      615 pages
      ISBN:9781450347686
      DOI:10.1145/3014812
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      New York, NY, United States

      Publication History

      Published: 31 January 2017

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      Author Tags

      1. focused retrieval
      2. implementations of information systems
      3. interactive information retrieval

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      ACSW 2017
      ACSW 2017: Australasian Computer Science Week 2017
      January 30 - February 3, 2017
      Geelong, Australia

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      ACSW '17 Paper Acceptance Rate 78 of 156 submissions, 50%;
      Overall Acceptance Rate 204 of 424 submissions, 48%

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      • (2024)What Did I Say Again? Relating User Needs to Search Outcomes in Conversational CommerceProceedings of Mensch und Computer 202410.1145/3670653.3670680(129-139)Online publication date: 1-Sep-2024

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