Workshop on patent retrieval SIGIR 2000 workshop report
ACM SIGIR Forum
Report on the patent retrieval task at NTCIR workshop 3
ACM SIGIR Forum
Enhancing patent retrieval by citation analysis
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
The domain-specific track at CLEF 2008
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Back to basics - again - for domain-specific retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
The Xtrieval framework at CLEF 2008: domain-specific track
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Aspects and analysis of patent test collections
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
CLEF 2009 ad hoc track overview: TEL and Persian tasks
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
CLEF-IP 2009: retrieval experiments in the intellectual property domain
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
When documents are very long, BM25 fails!
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
| Hi-index | 0.00 |
We revisit the effects that various characteristics of the topic documents have on the effectiveness of the systems for the task of finding prior art in the patent domain. In doing so, we provide the reader interested in approaching the domain a guide of the issues that need to be addressed in this context. For the current study, we select two patent based test collections with a common document representation schema and look at topic characteristics specific to the objectives of the collections. We look at the effect of languages on retrieval and at the length of the topic documents. We present the correlations between these topic facets and their retrieval results, as well as their relevant documents.