A study of query reformulation for patent prior art search with partial patent applications
Author:
Affiliation:
1. INRIA & LIRMM University of Montpellier, France
2. Oregon State University, Corvallis, OR
3. NICTA, Australian National University
Funder
Australian Government
Australian Research Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2746090.2746092
Reference25 articles.
1. R. A. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison-Wesley Longman Publishing Co. Inc. 2 edition 2010. R. A. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. Addison-Wesley Longman Publishing Co. Inc. 2 edition 2010.
2. Improving Retrievability of Patents in Prior-Art Search
3. The use of MMR, diversity-based reranking for reordering documents and producing summaries
4. Enhancing patent retrieval by citation analysis
5. Patent query reduction using pseudo relevance feedback
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