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RESEARCH PAPER · DSpace@MIT (Massachusetts Institute of Technology) · 2019

The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures

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The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structuresOriginalA Dataset for Tracking Entities in Open Domain Procedural Text35An Analysis of Simple Data Augmentation for Named Entity Recognition184An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text3Representing Semantified Biological Assays in the Open Research Knowledge Graph5Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature14SC-CoMIcs: A Superconductivity Corpus for Materials Informatics9Opportunities and Challenges for Machine Learning in Materials Science523Automated extraction of chemical synthesis actions from experimental procedures202Relation/Entity-Centric Reading Comprehension0A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction3Analyzing Research Trends in Inorganic Materials Literature Using NLP8Automated Mining of Leaderboards for Empirical AI Research19Improving Low-Resource Named Entity Recognition via Label-Aware Data Augmentation and Curriculum Denoising7MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text13Process-Level Representation of Scientific Protocols with Interactive Annotation16The Impact of Domain-Specific Pre-Training on Named Entity Recognition Tasks in Materials Science33Opportunities and challenges of text mining in materials research180MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature14Data Science in Chemical Engineering: Applications to Molecular Science20Sentence, Phrase, and Triple Annotations to Build a Knowledge Graph of Natural Language Processing Contributions—A Trial Dataset8Annotation and Classification of Graphs of Property Values Reported in Material Science Literature0Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation9A Simple Data Augmentation Method to Improve the Performance of Named Entity Recognition Models in Medical Domain9Grand challenges on accelerating discovery in catalysis15Annotation and Classification of Graphs of Property Values Reported in Material Science Literature0Extracting Domain-specific Concepts from Large-scale Linked Open Data5An Analysis of Relation Extraction within Sentences from Wet Lab Protocols0Data augmentation for name entity recognition2Easy Semantification of Bioassays1Extracting and Analyzing Inorganic Material Synthesis Procedures in the Literature10Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts7Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora26Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora27PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text7SynKB: Semantic Search for Synthetic Procedures8ULSA: unified language of synthesis actions for the representation of inorganic synthesis protocols28What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text11Text Mining for Energy Materials3A Study of Computational Reproducibility using URLs Linking to Open Access Datasets and Software16MatSciBERT: A materials domain language model for text mining and information extraction342Low-Resource NER by Data Augmentation With Prompting21Development of a baseline model for MAX/MXene synthesis recipes extraction via pre-trained model with domain knowledge5Causal Reasoning of Entities and Events in Procedural Texts9Chemical Language Understanding Benchmark3Constructing Procedural Graphs with Multiple Dependency Relations: A New Dataset and Baseline1DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles18Editing Relation Candidate Edges of Relation Graphs for Document-Level Relation Extraction0Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manuals1Large Language Models as Master Key: Unlocking the Secrets of Materials Science20Linguistic representations for fewer-shot relation extraction across domains7Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain1MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling32MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain1MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain3Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction0The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models8A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing149Automatic knowledge acquisition from superconductivity information in literature0The robotic-surgery propositional bank9ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph8Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions23OSPAR: A Corpus for Extraction of Organic Synthesis Procedures with Argument Roles4Language models and protocol standardization guidelines for accelerating synthesis planning in heterogeneous catalysis68MaScQA: investigating materials science knowledge of large language models54Introducing LCC’s NavProc 1.0 Corpus0Towards Flow Graph Prediction of Open-Domain Procedural Texts0MPPQA: Structure-Aware Extractive Multi-span Question Answering for Procedural Documents0Knowledge Graph for Solubility Big Data: Construction and Applications2Leveraging Domain-Specific Databases for Seq2Seq-Based Relation Extraction from Materials Science Texts0Language models for materials discovery and sustainability: Progress, challenges, and opportunities26Extracting Material Property Measurements from Scientific Literature with Limited Annotations5Advancements of Large Language Models for Enhancing Carbon Capture Technologies: A Comprehensive Review1Hybrid-SET: Few-Shot Example Selection Combining Sentence Similarity and Set Coverage - A Case Study on Material Science Domain0A survey on cutting-edge relation extraction techniques based on language models15Enabling large language models for real-world materials discovery39A survey of data augmentation in named entity recognition6SLM-MATRIX: a multi-agent trajectory reasoning and verification framework for enhancing language models in materials data extraction5Wiki-Quantities and Wiki-Measurements: Datasets of quantities and their measurement context from Wikipedia1Annotated textual dataset PV600 of perovskite bandgaps for information extraction from literature6Large Language Models for Heterogeneous Catalysis10Causal discovery from data assisted by large language models6Text Mining for Process–Structure–Properties Relationships in Metals1AI-Driven Literature Mining for Intelligent Synthesis Design0From literature to lab: LLM-powered catalyst synthesis protocol generation0A family of large language models for materials research with insights into model adaptability in continued pretraining6An experimental study on data augmentation techniques for named entity recognition on low-resource domains2LLM-driven materials knowledge extraction: multimodal parsing, ontology, and agentic systems0Extracting and Structuring Experimental Knowledge from Electronic Theses and Dissertations0

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  2. An Analysis of Simple Data Augmentation for Named Entity Recognition

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  3. An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text

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  5. Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature

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  7. Opportunities and Challenges for Machine Learning in Materials Science

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  8. Automated extraction of chemical synthesis actions from experimental procedures

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  10. A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

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  11. Analyzing Research Trends in Inorganic Materials Literature Using NLP

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  14. MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text

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  15. Process-Level Representation of Scientific Protocols with Interactive Annotation

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  16. The Impact of Domain-Specific Pre-Training on Named Entity Recognition Tasks in Materials Science

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  17. Opportunities and challenges of text mining in materials research

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  18. MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature

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  19. Data Science in Chemical Engineering: Applications to Molecular Science

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  21. Annotation and Classification of Graphs of Property Values Reported in Material Science Literature

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  22. Data Augmentation for Low-Resource Named Entity Recognition Using Backtranslation

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  41. Low-Resource NER by Data Augmentation With Prompting

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  42. Development of a baseline model for MAX/MXene synthesis recipes extraction via pre-trained model with domain knowledge

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  43. Causal Reasoning of Entities and Events in Procedural Texts

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