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5th PatentSemTech@SIGIR 2024: Washington, DC, USA

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Hidir Aras, Ralf Krestel, Linda Andersson, Florina Piroi, Allan Hanbury, Dean Alderucci:
Proceedings of the 5th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, July 28th, 2024. CEUR Workshop Proceedings 3775, CEUR-WS.org 2024

Full Papers

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  - conf/patentsemtech/PengTZL24
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Yongxin Peng, Xinyu Tong, Yueyun Zhang, Yonghe Lu:
Multi-Task Classification Model for Multilingual Patents. 1-7
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  - conf/patentsemtech/YoshikawaK24
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Naoya Yoshikawa, Ralf Krestel:
Improving Patent Classification using AI-Generated Summaries. 8-17
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  - conf/patentsemtech/KotliarovaB24
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Ekaterina Kotliarova, Sebastian Björkqvist:
Semi-Supervised Learning Methods for Patent Classification Using Search-Optimized Graph-Based Representations. 18-24
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  - conf/patentsemtech/ErhardtGBRH24
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Sebastian Erhardt, Mainak Ghosh, Erik Buunk, Michael E. Rose, Dietmar Harhoff:
Logic Mill - A Knowledge Navigation System. 25-35
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Sebastian Erhardt:
Automated Patent Landscaping using Deep Learning. 36-50
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  - conf/patentsemtech/LoCHC24
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Hao-Cheng Lo, Jung-Mei Chu, Jieh Hsiang, Chun-Chieh Cho:
Large Language Model Informed Patent Image Retrieval. 51-60

Short Papers

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  - conf/patentsemtech/ParikhD24
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Arav Parikh, Shiri Dori-Hacohen:
ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs. 61-66
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Rima Dessi, Hidir Aras, Mark Prince:
Automatic Identification of Patent Claim Types: Enhancing Efficiency in Patent Analysis. 67-71
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  - conf/patentsemtech/BlumeHH24
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Matthias Blume, Ghobad Heidari, Christoph Hewel:
Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text. 72-76
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Farag Saad, Hidir Aras, Mark Prince:
Employing Active Learning for Training a DL-Model for Citation Identification in Patent Text. 77-81

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