Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora

1 March 2019

Papers citing "Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora"

3 / 3 papers shown

Title
ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance & Efficiency on a Specific Domain Ali Shiraee Kasmaee Mohammad Khodadad Mohammad Arshi Saloot Nick Sherck Stephen Dokas H. Mahyar Soheila Samiee ELM 204 0 0 30 Nov 2024
NLP for Knowledge Discovery and Information Extraction from Energetics Corpora Francis G. VanGessel Efrem Perry Salil Mohan Oliver M. Barham Mark Cavolowsky 35 0 0 10 Feb 2024
Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora Monica Puerto Mason Kellett Rodanthi Nikopoulou M. Fuge Ruth M. Doherty Peter W. Chung Zois Boukouvalas 31 1 0 01 Jun 2022