A hybrid deep-learning approach for complex biochemical named entity recognition

20 December 2020

Papers citing "A hybrid deep-learning approach for complex biochemical named entity recognition"

9 / 9 papers shown

Title
Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing Xiangqiang Gao Rongke Liu Aryan Kaushik 13 51 0 12 Jan 2020
Cross-lingual Language Model Pretraining Guillaume Lample Alexis Conneau 121 2,751 0 22 Jan 2019
Deep Semantic Role Labeling with Self-Attention Zhixing Tan Mingxuan Wang Jun Xie Yidong Chen X. Shi 81 311 0 05 Dec 2017
Learning to Plan Chemical Syntheses Marwin H. S. Segler Mike Preuss M. Waller 103 1,377 0 14 Aug 2017
Pruning Convolutional Neural Networks for Resource Efficient Inference Pavlo Molchanov Stephen Tyree Tero Karras Timo Aila Jan Kautz CVBM VLM 84 418 0 19 Nov 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF Xuezhe Ma Eduard H. Hovy 124 2,659 0 04 Mar 2016
Named Entity Recognition with Bidirectional LSTM-CNNs Jason P. C. Chiu Eric Nichols 93 1,901 0 26 Nov 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 406 33,586 0 16 Oct 2013
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 212 7,731 0 02 Mar 2011