mlsanityData to 14 Oct 2026

PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature

arXiv 2311.07715 ↗First posted 13 Nov 2023cs.CL cs.AI cs.IRcited by 13

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Abstract (arXiv)

Scientific information extraction (SciIE), which aims to automatically extract information from scientific literature, is becoming more important than ever. However, there are no existing SciIE datasets for polymer materials, which is an important class of materials used ubiquitously in our daily lives. To bridge this gap, we introduce POLYIE, a new SciIE dataset for polymer materials. POLYIE is curated from 146 full-length polymer scholarly articles, which are annotated with different named entities (i.e., materials, properties, values, conditions) as well as their N-ary relations by domain experts. POLYIE presents several unique challenges due to diverse lexical formats of entities, ambiguity between entities, and variable-length relations. We evaluate state-of-the-art named entity extraction and relation extraction models on POLYIE, analyze their strengths and weaknesses, and highlight some difficult cases for these models. To the best of our knowledge, POLYIE is the first SciIE benchmark for polymer materials, and we hope it will lead to more research efforts from the community on this challenging task. Our code and data are available on: https://github.com/jerry3027/PolyIE.

Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 21 of its 59 references that are in the map. First posted on arXiv 13 Nov 2023.

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21 of 59 references.

References · 21

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9 more
  1. 2023Does Synthetic Data Generation of LLMs Help Clinical Text Mining?cited by 154
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Citing papers per year: 2023: 1; 2024: 5; 2025: 3; 2026: 4.

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  4. 2024A Simple but Effective Approach to Improve Structured Language Model Output for Information Extractioncited by 16
  5. 2024MatViX: Multimodal Information Extraction from Visually Rich Articlescited by 8
  6. 2026TritonDFT: Automating DFT with a Multi-Agent Frameworkcited by 5
  7. 2025MSQA: Benchmarking LLMs on Graduate-Level Materials Science Reasoning and Knowledgecited by 3
  8. 2024Accelerating materials discovery for polymer solar cells: Data-driven insights enabled by natural language processingcited by 1
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  10. 2025From the Rock Floor to the Cloud: A Systematic Survey of State-of-the-Art NLP in Battery Life Cyclecited by 0
  11. 2026Retrieval Augmented Generation of Literature-derived Polymer Knowledge: The Example of a Biodegradable Polymer Expert Systemcited by 0
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