Text segmentation for patent claim simplification via Bidirectional Long‐Short Term Memory and Conditional Random Field
Author:
Affiliation:
1. School of Computer Science and Computing Zhejiang University Hangzhou China
Publisher
Wiley
Subject
Artificial Intelligence,Computational Mathematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12455
Reference19 articles.
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3. OkamotoM ShanZ OriharaR.Applying information extraction for patent structure analysis. Paper presented at: SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. Tokyo Japan; 2017:989‐992.https://doi.org/10.1145/3077136.3080698.
4. SheremetyevaS.Natural language analysis of patent claims. Paper presented at: Proceedings of the PATENT'03. Dublin Ireland;2003:66‐73.
5. SheremetyevaS.Automatic text simplification for handling intellectual property. Paper presented at: Proceedings of the Workshop on Automatic Text Simplification: Methods and Applications in the Multilingual Society Sapporo Japan 2014:41‐52.
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