Leveraging conceptual lexicon: query disambiguation using proximity information for patent retrieval

@inproceedings{Mahdabi2013LeveragingCL,
  title={Leveraging conceptual lexicon: query disambiguation using proximity information for patent retrieval},
  author={Parvaz Mahdabi and Shima Gerani and Xiangji Huang and Fabio Crestani},
  booktitle={SIGIR},
  year={2013}
}
Patent prior art search is a task in patent retrieval where the goal is to rank documents which describe prior art work related to a patent application. One of the main properties of patent retrieval is that the query topic is a full patent application and does not represent a focused information need. This query by document nature of patent retrieval introduces new challenges and requires new investigations specific to this problem. Researchers have addressed this problem by considering… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 17 extracted citations

Exploiting semantic knowledge base for patent retrieval

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) • 2017
View 1 Excerpt

Domain lexicon-based query expansion for patent retrieval

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) • 2016
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-5 of 5 references

Analyses of multiple evidence combination

J.-H. Lee
SIGIR, pages 267–276 • 1997
View 8 Excerpts
Highly Influenced

Current Challenges in Patent Information Retrieval

The Information Retrieval Series • 2011
View 5 Excerpts
Highly Influenced

Patent query reduction based on pseudo-relevant documents

D. Ganguly, J. Leveling, W. Magdy, G.J.F. Jones
CIKM, pages 1953–1956 • 2011
View 5 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…