Papers by Gihan Panapitiya
Extracting Material Property Measurement Data from Scientific Articles (2021.emnlp-main)
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| Challenge: | a lack of large training datasets hampers machine learning-based prediction of material properties . relevant measurements and information exist only in unstructured formats such as the published literature . |
| Approach: | They propose a framework for automatic property extraction using material solubility as the target property. |
| Outcome: | The proposed framework extracts solubility data from scientific literature and compares it with other frameworks. |