ACM Home Page
Please provide us with feedback. Feedback
A proposal for chemical information retrieval evaluation
Full text PdfPdf (48 KB)
Source
Conference on Information and Knowledge Management archive
Proceeding of the 1st ACM workshop on Patent information retrieval table of contents
Napa Valley, California, USA
SESSION: Patent classification and IR evaluation table of contents
Pages 15-18  
Year of Publication: 2008
ISBN:978-1-60558-256-6
Authors
Jianhan Zhu  University College London, Ipswich, Suffolk, United Kngdm
John Tait  Information Retrieval Facility, Vienna, Austria
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 92,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1458572.1458577
What is a DOI?

ABSTRACT

Based on the important progresses made in information retrieval (IR) in terms of theoretical models and evaluations, more and more attention has recently been paid to the research in domain specific IR, as evidenced by the organization of Genomics and Legal tracks in TREC (Text REtrieval Conference). We think that now is the right time to carry out large scale evaluations on chemistry datasets in order to promote the research in chemical IR in general and chemical patent IR in particular. Accordingly, we propose the organization of a chemical IR track in TREC in order to address the challenges in chemical and patent IR. In this position paper, we present the research questions we will address in the proposed track, our initial plan of the proposed track, and the kind of search tasks we propose for the track. We focus on the design of a new chemical entity search task consisting of two sub-tasks, i.e., chemical entity search and chemical entity relation search.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Baron, J.R., Lewis, D.D., and Oard, D.W. (2007) TREC-2006 Legal Track Overview. In Proc. of TREC 2006.
 
2
Barton, J. H. (2003) Non-Obviousness, 43 IDEA: The Journal of Law and Technology 475--508.
 
3
Craswell, N., de Vries, A.P., Soboroff, I. (2006) Overview of the TREC-2005 Enterprise Track. In Proc. of TREC 2005.
 
4
de Vries, A.P., Thom, J.A., Vercoustre, A-M, Craswell N., and Lalmas, M. (2007) INEX 2007 Entity Ranking Track Guidelines - V1. In Pre-Proc. of INitiative for the Evaluation of XML Retrieval.
 
5
Hersh, W., and Bhupatiraju, R.T. (2004) TREC Genomics Track Overview. In Proc. of TREC 2003.
 
6
Lalmas, M., and Baeza-Yates, R. (2009) Structured Document Retrieval, Encyclopedia of Database Systems, O.M. Tamer and L. Ling (Eds.), Springer, May.
 
7
Leach, A.R. and Gillet V.J. An Introduction to Chemoinformatics. Kluwer, Dordrecht, 2003.
8
 
9
Rosenberg, P. (2000) Patent Law Fundamentals. St. Paul: West Group.
 
10
Soboroff, I., de Vries, A.P. and Craswell, N. (2007) Overview of the TREC 2006 Enterprise Track. In Proc. of TREC 2006.
11
 
12
Tomlinson, S., Oard, D.W., and Baron, J.R. (2008) Overview of the TREC 2007 Legal Track. In Proc. of TREC 2007.
 
13
Walterschneid, E. C. (1998) To Promote the Progress of Useful Arts: American Patent Law and Administration, 1787--1836. William Hein & Co.
14