SemTech4STLD 2024
Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data 2024

Table of Contents

• Preface
  Summary: There were 10 papers submitted for peer-review to SemTech4STLD. Out of these, 5 papers were accepted as regular papers and 3 as short papers.

Regular Papers

• GerPS-NER: A Dataset for Named Entity Recognition to Support Public Service Process Creation in Germany 1-13
  Leila Feddoul, Sarah T. Bachinger, Clara Lachenmaier, Sebastian Apel, Pirmin Karg, Norman Klewer, Denys Forshayt, Robin Erd, Marianne Mauch
• ChatGPT vs. Google Gemini: Assessing AI Frontiers for Patent Prior Art Search Using European Search Reports 14-25
  Renukswamy Chikkamath, Ankit Sharma, Christoph Hewel, Markus Endres
• PRICER: Leveraging Few-Shot Learning with Fine-Tuned Large Language Models for Unstructured Economic Data 26-36
  Matt Murtagh, Pj Wall, Declan O'Sullivan
• Extracting Licence Information from Web Resources with a Large Language Model 37-48
  Enrico Daga, Jason Carvalho, Alba Morales Tirado
• Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI 49-60
  Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo Salatino

Short Papers

• Bridging the Innovation Gap: Leveraging Patent Information for Scientists by Constructing a Patent-centric Knowledge Graph 61-67
  Hidir Aras, Rima Dessi, Farag Saad, Lei Zhang
• Automating Citation Placement with Natural Language Processing and Transformers 68-75
  Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, Diego Reforgiato Recupero
• Combining Knowledge Graphs and Large Language Models to Ease Knowledge Access in Software Architecture Research 76-82
  Angelika Kaplan, Jan Keim, Marco Schneider, Anne Koziolek, Ralf Reussner