Papers citing The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures
Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain
Conference of the European Chapter of the Association for Computational Linguistics · 2023
Annerose Eichel, Helena Schlipf, Sabine Schulte im Walde
Read original paper ↗ ·MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Annual Meeting of the Association for Computational Linguistics (ACL) · 2023
Yu Song, Santiago Miret, Bang Liu
Read original paper ↗ ·MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain
Venue not supplied by source · 2023
Timo Pierre Schrader, Teresa Bürkle, Sophie Henning, Sherry Tan, Matteo Finco, Stefan Grünewald, Maira Indrikova, Felix Hildebrand, Annemarie Friedrich
Read original paper ↗ ·MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain
Venue not supplied by source · 2023
Timo Pierre Schrader, Matteo Finco, Stefan Grünewald, Felix Hildebrand, Annemarie Friedrich
Read original paper ↗ ·Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction
Venue not supplied by source · 2023
Yueling Li, Sebastian Martschat, Simone Paolo Ponzetto
Read original paper ↗ ·The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models
Venue not supplied by source · 2023
Kyeongmin Rim, Jingxuan Tu, Bingyang Ye, Marc Verhagen, Eben Holderness, James D. Pustejovsky
Read original paper ↗ ·A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing
npj Computational Materials · 2023
Pranav Shetty, Arunkumar Chitteth Rajan, Christopher Kuenneth, Sonakshi Gupta, Lakshmi Prerana Panchumarti, Lauren Holm, Chao Zhang, Rampi Ramprasad
Read original paper ↗ ·Automatic knowledge acquisition from superconductivity information in literature
Science and Technology of Advanced Materials Methods · 2023
Kento Mitsui, Yutaka Sasaki, Ryoji Asahi
Read original paper ↗ ·The robotic-surgery propositional bank
Language Resources and Evaluation · 2023
Marco Bombieri, Marco Rospocher, Simone Paolo Ponzetto, Paolo Fiorini
Read original paper ↗ ·ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph
International Journal on Digital Libraries · 2023
Salomon Kabongo, Jennifer D’Souza, Sören Auer
Read original paper ↗ ·Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions
ACM Transactions on Intelligent Systems and Technology · 2023
Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlí
Read original paper ↗ ·OSPAR: A Corpus for Extraction of Organic Synthesis Procedures with Argument Roles
Journal of Chemical Information and Modeling · 2023
Kojiro Machi, Seiji Akiyama, Yuuya Nagata, Masaharu Yoshioka
Read original paper ↗ ·Language models and protocol standardization guidelines for accelerating synthesis planning in heterogeneous catalysis
Nature Communications · 2023
Manu Suvarna, Alain C. Vaucher, Sharon Mitchell, Teodoro Laino, Javier Pérez‐Ramírez
Read original paper ↗ ·MaScQA: investigating materials science knowledge of large language models
Digital Discovery · 2023
Mohd Faiz Mohammad Zaki, Jayadeva, Mausam Mausam, N. M. Anoop Krishnan
Read original paper ↗ ·Introducing LCC’s NavProc 1.0 Corpus
Lecture notes in computer science · 2024
Michael Mohler, Sandra Lee, Mary Brunson, David B. Bracewell
Read original paper ↗ ·Towards Flow Graph Prediction of Open-Domain Procedural Texts
Journal of Natural Language Processing · 2024
Keisuke Shirai, Hirotaka Kameko, Shinsuke Mori
Read original paper ↗ ·MPPQA: Structure-Aware Extractive Multi-span Question Answering for Procedural Documents
Lecture notes in computer science · 2024
Bihan Zhou, Haopeng Ren, Yi Cai, Zetao Lian, Pinli Zhu, Yushi Zeng
Read original paper ↗ ·Knowledge Graph for Solubility Big Data: Construction and Applications
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2024
Xiao Haiyang, Yan Ruomei, Wu Yan, Lixin Guan, Mengshan Li
Read original paper ↗ ·Leveraging Domain-Specific Databases for Seq2Seq-Based Relation Extraction from Materials Science Texts
Lecture notes in computer science · 2025
Masaki Asada, Ken Fukuda
Read original paper ↗ ·Language models for materials discovery and sustainability: Progress, challenges, and opportunities
Progress in Materials Science · 2025
Zongrui Pei, Junqi Yin, Jiaxin Zhang
Read original paper ↗ ·Extracting Material Property Measurements from Scientific Literature with Limited Annotations
Journal of Chemical Information and Modeling · 2025
Jessica Kong, Gihan Panapitiya, Emily Saldanha
Read original paper ↗ ·Advancements of Large Language Models for Enhancing Carbon Capture Technologies: A Comprehensive Review
CHAIN · 2025
Yangyimin Xue, Manying Liu, Kuiyuan Wang, Yuwan Yang, Yongqiang Cheng, Xinhui Ma, Yuanting Qiao
Read original paper ↗ ·Hybrid-SET: Few-Shot Example Selection Combining Sentence Similarity and Set Coverage - A Case Study on Material Science Domain
Lecture notes in computer science · 2025
Chencheng Zhu, Tomoki Taniguchi, Tomoko Ohkuma, Kazutaka Shimada
Read original paper ↗ ·A survey on cutting-edge relation extraction techniques based on language models
Artificial Intelligence Review · 2025
Jose A. Diaz-Garcia, Julio Amador
Read original paper ↗ ·Enabling large language models for real-world materials discovery
Nature Machine Intelligence · 2025
Santiago Miret, N. M. Anoop Krishnan
Read original paper ↗ ·A survey of data augmentation in named entity recognition
Neurocomputing · 2025
Yi Huang, Yuhan Gao, Chengjuan Ren
Read original paper ↗ ·SLM-MATRIX: a multi-agent trajectory reasoning and verification framework for enhancing language models in materials data extraction
npj Computational Materials · 2025
Xin Yi Li, Zhixuan Huang, Shu Quan, Cheng Peng, Xiaoming Ma
Read original paper ↗ ·Wiki-Quantities and Wiki-Measurements: Datasets of quantities and their measurement context from Wikipedia
Scientific Data · 2025
Jan Göpfert, Patrick Kuckertz, Jann Michael Weinand, Detlef Stolten
Read original paper ↗ ·Annotated textual dataset PV600 of perovskite bandgaps for information extraction from literature
Scientific Data · 2025
Matilda Sipilä, Farrokh Mehryary, Sampo Pyysalo, Filip Ginter, Milica Todorović
Read original paper ↗ ·Large Language Models for Heterogeneous Catalysis
Wiley Interdisciplinary Reviews Computational Molecular Science · 2025
Yiwen Yao, Jinbo Zhu, Yan Liu, Guanpeng Ren, Xiaoyan Li, Pengfei Ou
Read original paper ↗ ·Causal discovery from data assisted by large language models
Applied Physics Letters · 2025
Kamyar Barakati, Aleksander Molak, Chris Nelson, Xiaohang Zhang, Ichiro Takeuchi, Sergei V. Kalinin
Read original paper ↗ ·Text Mining for Process–Structure–Properties Relationships in Metals
Integrating materials and manufacturing innovation · 2025
Amit K. Verma, Zhisong Zhang, Junwon Seo, Robin Kuo, Runbo Jiang, Emma Strubell, Anthony D. Rollett
Read original paper ↗ ·AI-Driven Literature Mining for Intelligent Synthesis Design
IEEE ... International Conference on Data Mining workshops · 2025
Heng Hui Lian, Lei Du, Jian Wu, Yi He
Read original paper ↗ ·From literature to lab: LLM-powered catalyst synthesis protocol generation
Digital Discovery · 2026
Yue Zhang, Song Luo, Dongxia Liu, Dionisios G. Vlachos, Hui Fang
Read original paper ↗ ·A family of large language models for materials research with insights into model adaptability in continued pretraining
Nature Machine Intelligence · 2026
Dhruv Kumar Ahlawat, Vaibhav Mishra, Sourabh Singh, Mohd Faiz Mohammad Zaki, Vaibhav Bihani, Hargun Singh Grover, Biswajit Mishra, Santiago Miret, Mausam, N. M. Anoop Krishnan
Read original paper ↗ ·An experimental study on data augmentation techniques for named entity recognition on low-resource domains
Natural language processing. · 2026
Arthur Elwing Torres, Edleno Silva de Moura, Altigran Soares da Silva, Mário A. Nascimento, Filipe Mesquita
Read original paper ↗ ·LLM-driven materials knowledge extraction: multimodal parsing, ontology, and agentic systems
Journal of Materials Informatics · 2026
Shuai Yang, Yimeng Wang, Qiong Tu, Nian Ran, Ying Lu
Read original paper ↗ ·Extracting and Structuring Experimental Knowledge from Electronic Theses and Dissertations
ACM/IEEE Joint Conference on Digital Libraries · 2026
Hajra Klair
Read original paper ↗ ·