TY - GEN
T1 - Identifying patent monetization entities
AU - Surdeanu, Mihai
AU - Jeruss, Sara
PY - 2013
Y1 - 2013
N2 - The United States has seen an explosion in patent litigation lawsuits in recent years. Recent studies indicate that a large proportion of these lawsuits, increasing from 22% in 2007 to 40% in 2011, were filed by patent monetization entities (PMEs), i.e., companies that hold patents, license patents, and file patent lawsuits, but do not sell products or provide services practicing the technologies described in their patents. We introduce a classifier that identifies which patent litigation lawsuits are initiated by PMEs. Using features extracted from the entities' litigation behavior, the patents they asserted, and their presence on the web, the proposed classifier correctly separates PMEs from operating companies with a F1 score of 85%. We believe that such a classifier will be a useful tool to policy makers and patent litigators, allowing them to gain a clearer picture of the 37, 000+ patent lawsuits filed to date and assessing newly filed cases in real time.
AB - The United States has seen an explosion in patent litigation lawsuits in recent years. Recent studies indicate that a large proportion of these lawsuits, increasing from 22% in 2007 to 40% in 2011, were filed by patent monetization entities (PMEs), i.e., companies that hold patents, license patents, and file patent lawsuits, but do not sell products or provide services practicing the technologies described in their patents. We introduce a classifier that identifies which patent litigation lawsuits are initiated by PMEs. Using features extracted from the entities' litigation behavior, the patents they asserted, and their presence on the web, the proposed classifier correctly separates PMEs from operating companies with a F1 score of 85%. We believe that such a classifier will be a useful tool to policy makers and patent litigators, allowing them to gain a clearer picture of the 37, 000+ patent lawsuits filed to date and assessing newly filed cases in real time.
UR - http://www.scopus.com/inward/record.url?scp=84883538909&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883538909&partnerID=8YFLogxK
U2 - 10.1145/2514601.2514616
DO - 10.1145/2514601.2514616
M3 - Conference contribution
AN - SCOPUS:84883538909
SN - 9781450320801
T3 - Proceedings of the International Conference on Artificial Intelligence and Law
SP - 131
EP - 139
BT - Proceedings of the 14th International Conference on Artificial Intelligence and Law, ICAIL 2013
T2 - 14th International Conference on Artificial Intelligence and Law, ICAIL 2013
Y2 - 10 June 2013 through 14 June 2013
ER -