PatentSemTech 2024

Table of Contents

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• Multi-Task Classification Model for Multilingual Patents 1-7 PDF
  Xinyu Tong (disambiguation), Yongxin Peng, Yueyun Zhang, Yonghe Lu
• Improving Patent Classification using AI-Generated Summaries 8-17 PDF
  Naoya Yoshikawa, Ralf Krestel
• Semi-Supervised Learning Methods for Patent Classification Using Search-Optimized Graph-Based Representations 18-24 PDF
  Sebastian Björkqvist, Ekaterina Kotliarova
• Logic Mill - A Knowledge Navigation System 25-35 PDF
  Dietmar Harhoff, Mainak Ghosh, Sebastian Erhardt, Michael E. Rose, Erik Buunk
• Automated Patent Landscaping using Deep Learning 36-50 PDF
  Sebastian Erhardt
• Large Language Model Informed Patent Image Retrieval 51-60 PDF
  Jieh Hsiang, Hao-Cheng Lo, Chun-Chieh Cho, Jung-Mei Chu
• ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs 61-66 PDF
  Shiri Dori-Hacohen, Arav Parikh
• Automatic Identification of Patent Claim Types: Enhancing Efficiency in Patent Analysis 67-71 PDF
  Hidir Aras, Rima Dessi, Mark Prince
• Comparing Complex Concepts with Transformers: Matching Patent Claims Against Natural Language Text 72-76 PDF
  Christoph Hewel, Ghobad Heidari-Bateni, Matthias Blume
• Employing Active Learning for Training a DL-Model for Citation Identification in Patent Text 77-81 PDF
  Hidir Aras, Farag Saad, Mark Prince