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ORCID30th NLDB 2025: Kanazawa, Japan - Part II
- Ryutaro Ichise:
Natural Language Processing and Information Systems - 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Kanazawa, Japan, July 4-6, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15837, Springer 2026, ISBN 978-3-031-97143-3
Short Papers (Main Track)
- Lize Pirenne
, Samy Mokeddem, Damien Ernst, Gilles Louppe:
Exploration of Rationale-Extraction Methods for Closed-Domain Question Answering with a New Sentence-Level Rationale Dataset. 3-13 - Chencheng Zhu, Tomoki Taniguchi, Tomoko Ohkuma, Kazutaka Shimada:
Hybrid-SET: Few-Shot Example Selection Combining Sentence Similarity and Set Coverage - A Case Study on Material Science Domain. 14-24 - Tu My Doan, David Baumgartner, Benjamin Kille:
Efficiently Summarizing Norwegian Legal Texts. 25-35 - Yuan Liu, Flavius Frasincar:
FairNM: Fairness in Name Matching. 36-46 - Koki Imazato, Kazutaka Shimada:
Is a Similar Task Useful for Few-Shot Selection? Aspect Term Extraction Using LLM. 47-57 - Ken Yano, Makoto Miwa, Sophia Ananiadou:
IRIS: Rapid Curation Framework for Iterative Improvement of Noisy Named Entity Annotations. 58-69 - Yuuki Tachioka:
Fusion-in-LLM: A Parallel Approach to Improve Retrieval-Augmented Generation for Quiz-Based Question Answering. 70-81 - Luigi Lomasto, Nicola Lettieri, Delfina Malandrino, Valerio Mosca, Rocco Zaccagnino:
Unveiling Emotional Signature in Conspiracy Topics on Social Media Through Vector Analysis. 82-93 - Jakob Mørup Wang, Zhiru Sun:
LLM-Supervised Multilingual Skill Extraction and Classification from Job Ads. 94-104 - Gianmaria Balducci, Elisabetta Fersini, Enza Messina:
Cross-Domain Named Entity Recognition: A Resource-Efficient Transfer Learning Approach. 105-115 - Feras Elkharrat, Mohamed Ghoniem, Ahmed Sherif, Caroline Sabty:
Explainable AI for NLP: Enhancing Transparency in Sentiment Analysis and Named Entity Recognition. 116-127 - Kouya Abe, Hiroyuki Shinnou:
Utilization of SLMs as Generator in RAG. 128-139 - Kon Woo Kim, Rezarta Islamaj, Jin-Dong Kim, Florian Boudin, Akiko Aizawa:
Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study. 140-151 - Ziyi Tong, Feifei Sun, Nguyen Minh Le:
Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications. 152-162 - Hanieh Khorashadizadeh, Sanju Tiwari, Farah Benamara, Nandana Mihindukulasooriya, Jinghua Groppe, Soror Sahri, Morteza Kamaladdini Ezzabady, Frédéric Ieng, Sven Groppe:
EcoRAG: A Multi-hop Economic QA Benchmark for Retrieval Augmented Generation Using Knowledge Graphs. 163-173
Short Papers (Industry Track)
- Takumi Tamura, Yoichiro Ito, Masaki Aota, Kenta Yamada, Shotaro Ishihara:
Should Embedding-Based News Recommendation be Revisited? A Focus on the Differences Between News Publishers and Aggregators. 177-188 - Junichiro Niimi:
A Simple Ensemble Strategy for LLM Inference: Towards More Stable Text Classification. 189-199 - Man Yiu Chow, Mitsuhiro Kitani:
Testing Procedure Generation Based on Testing Requirements for Automotive Components with LLM Fine-Tuning. 200-209 - Sumeth Yuenyong, Kobkrit Viriyayudhakorn, Apivadee Piyatumrong, Jillaphat Jaroenkantasima:
OpenThaiGPT 1.5: A Thai-Centric Open Source Large Language Model. 210-219
Demo Papers
- Angel Ontiveros, Irina Nikishina, Moritz Gomm, Christopher Schmitt, Chris Biemann:
ESG-Consultant: Developing of an ESG Compliance Consulting Tool for Companies Using RAG. 223-229 - Catalina Riano, Fumian Chen, Hui Fang:
CaLuX: A Catalyst and Lubricant Properties Extraction System for Domain Experts. 230-236
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