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"

7 / 7 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 497 0 0 30 Nov 2024
Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion Yue Liu Tao Ge K. Mathews Heng Ji D. McGuinness 38 56 0 11 Apr 2018
A Survey of Word Embeddings Evaluation Methods Amir Bakarov 55 183 0 21 Jan 2018
Deep learning for extracting protein-protein interactions from biomedical literature Yifan Peng Zhiyong Lu 64 102 0 05 Jun 2017
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers Zibo Yi Shasha Li Jie Yu Ting Wang 25 54 0 09 May 2017
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 334 33,500 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 613 31,467 0 16 Jan 2013