ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1711.06872
  4. Cited By
Automatically Extracting Action Graphs from Materials Science Synthesis
  Procedures

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures

18 November 2017
Sheshera Mysore
Edward J. Kim
Emma Strubell
Ao Liu
Haw-Shiuan Chang
Srikrishna Kompella
Kevin Huang
Andrew McCallum
E. Olivetti
ArXivPDFHTML

Papers citing "Automatically Extracting Action Graphs from Materials Science Synthesis Procedures"

6 / 6 papers shown
Title
PcMSP: A Dataset for Scientific Action Graphs Extraction from
  Polycrystalline Materials Synthesis Procedure Text
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text
Xianjun Yang
Ya Zhuo
Julia Zuo
Xinlu Zhang
Stephen D. Wilson
Linda R. Petzold
32
11
0
22 Oct 2022
MatScIE: An automated tool for the generation of databases of methods
  and parameters used in the computational materials science literature
MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
Souradip Guha
Ankan Mullick
Jatin Agrawal
Swetarekha Ram
Samir Ghui
Seung-Cheol Lee
S. Bhattacharjee
Pawan Goyal
16
15
0
15 Sep 2020
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in
  the Materials Science Domain
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
Annemarie Friedrich
Heike Adel
F. Tomazic
Johannes Hingerl
Renou Benteau
Anika Maruscyk
Lukas Lange
11
71
0
04 Jun 2020
Annotating and Extracting Synthesis Process of All-Solid-State Batteries
  from Scientific Literature
Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature
Fusataka Kuniyoshi
Kohei Makino
Jun Ozawa
Makoto Miwa
20
33
0
18 Feb 2020
On the Limits of Learning to Actively Learn Semantic Representations
On the Limits of Learning to Actively Learn Semantic Representations
Omri Koshorek
Gabriel Stanovsky
Yichu Zhou
Vivek Srikumar
Jonathan Berant
OffRL
11
9
0
05 Oct 2019
The Materials Science Procedural Text Corpus: Annotating Materials
  Synthesis Procedures with Shallow Semantic Structures
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
Sheshera Mysore
Z. Jensen
Edward J. Kim
Kevin Huang
Haw-Shiuan Chang
Emma Strubell
Jeffrey Flanigan
Andrew McCallum
E. Olivetti
19
95
0
16 May 2019
1