@inproceedings{0f497980217545e4b75011a37989154e,
title = "Automatically generating queries for prior art search",
abstract = "This paper outlines our participation in CLEF-IP{\textquoteright}s 2009 prior art search task. In the task{\textquoteright}s initial year our focus lay on the automatic generation of effective queries. To this aim we conducted a preliminary analysis of the distribution of terms common to topics and their relevant documents, with respect to term frequency and document frequency. Based on the results of this analysis we applied two methods to extract queries. Finally we tested the effectiveness of the generated queries on two state of the art retrieval models.",
keywords = "art retrieval",
author = "Erik Graf and Leif Azzopardi and {van Rijsbergen}, Keith",
year = "2010",
month = sep,
day = "3",
doi = "10.1007/978-3-642-15754-7_58",
language = "English",
isbn = "9783642157530",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "480--490",
editor = "Carol Peters and {Di Nunzio}, {Giorgio Maria} and Mikko Kurimo and Thomas Mandl and Djamel Mostefa and Anselmo Pe{\~n}as and Giovanna Roda",
booktitle = "Multilingual Information Access Evaluation I. Text Retrieval Experiments",
note = "10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009 ; Conference date: 30-09-2009 Through 02-10-2009",
}