DeepAI AI Chat
Log In Sign Up

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

02/18/2020
by   Fusataka Kuniyoshi, et al.
0

The synthesis process is essential for achieving computational experiment design in the field of inorganic materials chemistry. In this work, we present a novel corpus of the synthesis process for all-solid-state batteries and an automated machine reading system for extracting the synthesis processes buried in the scientific literature. We define the representation of the synthesis processes using flow graphs, and create a corpus from the experimental sections of 243 papers. The automated machine-reading system is developed by a deep learning-based sequence tagger and simple heuristic rule-based relation extractor. Our experimental results demonstrate that the sequence tagger with the optimal setting can detect the entities with a macro-averaged F1 score of 0.826, while the rule-based relation extractor can achieve high performance with a macro-averaged F1 score of 0.887.

READ FULL TEXT

page 3

page 10

02/05/2023

Inorganic synthesis recommendation by machine learning materials similarity from scientific literature

Synthesis prediction is a key accelerator for the rapid design of advanc...
11/18/2017

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures

Computational synthesis planning approaches have achieved recent success...
06/27/2021

Analyzing Research Trends in Inorganic Materials Literature Using NLP

In the field of inorganic materials science, there is a growing demand t...
09/06/2017

"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text

Sarcasm occurring due to the presence of numerical portions in text has ...
01/23/2022

ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols

Applying AI power to predict syntheses of novel materials requires high-...
06/26/2016

This before That: Causal Precedence in the Biomedical Domain

Causal precedence between biochemical interactions is crucial in the bio...