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Showing 1 to 3 of 3 for “"ChemDataExtractor"”.

  1. Text and data mining of semiconductor material information from scientific literature

    … via text and data mining on research papers with ChemDataExtractor. Chapter 3 introduces Snowball 2.0, a generic sentence-level parser for chemical data extraction with ChemDataExtractor. It features improved performance, better generalizability, enhanced functionalities, and simpler interaction …

    cambridge Repository record for Text and data mining of semiconductor material information from scientific literature (opens in a new tab)

  2. Extracting thermoelectric materials information using natural language processing

    … 2 introduces the information-extraction toolkit, ChemDataExtractor, which was adapted and applied in Chapter 3 of this research to extract a thermoelectric materials database from the scientific literature. It also gives an overview of language models, focusing on BERT, which was utilised in …

    cambridge Repository record for Extracting thermoelectric materials information using natural language processing (opens in a new tab)

  3. Literature mining on scientific publications of battery materials

    … literature based on a rule-based approach using ChemDataExtractor. Chapter 4 releases the first property-specific transformer-based BatteryBERT model, which enables us to perform data extraction in a completely unsupervised fashion. The model is further embedded in the battery-aware text-mining …

    cambridge Repository record for Literature mining on scientific publications of battery materials (opens in a new tab)