Dictionary‐Based Automated Information Extraction From Geological Documents Using a Deep Learning Algorithm

Dictionary‐Based Automated Information Extraction From Geological Documents Using a Deep Learning Algorithm

Abstract Massive unstructured geoscience data are buried in geological reports. Geological text classification provides opportunities to leverage this wealth of data for geology and mineralization research. Existing studies of massive geoscience documents/reports have not provided effective classifi...

Full description

Bibliographic Details
Main Authors:	Qinjun Qiu, Zhong Xie, Liang Wu, Liufeng Tao
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2020-03-01
Series:	Earth and Space Science
Subjects:	Long short‐term memory Geoscience ontology Attention mechanism Text classification
Online Access:	https://doi.org/10.1029/2019EA000993

Similar Items

GNER: A Generative Model for Geological Named Entity Recognition Without Labeled Data Using Deep Learning
by: Qinjun Qiu, et al.
Published: (2019-06-01)

Chinese Text Classification Model Based on Deep Learning
by: Yue Li, et al.
Published: (2018-11-01)

Feature-Enhanced Nonequilibrium Bidirectional Long Short-Term Memory Model for Chinese Text Classification
by: Hai Huan, et al.
Published: (2020-01-01)

Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification
by: Yangyang Lan, et al.
Published: (2020-01-01)

Automatic Modulation Classification Scheme Based on LSTM With Random Erasing and Attention Mechanism
by: Yufan Chen, et al.
Published: (2020-01-01)

Aircraft Gearbox Fault Diagnosis System: An Approach based on Deep Learning Techniques
by: Mallikarjuna P B, et al.
Published: (2020-08-01)

Turning the mind’s eye inward: The interplay between selective attention and working memory
by: Elger eAbrahamse, et al.
Published: (2015-11-01)

An attention-based effective neural model for drug-drug interactions extraction
by: Wei Zheng, et al.
Published: (2017-10-01)

Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism
by: Hangxia Zhou, et al.
Published: (2019-01-01)

Classification of Biomedical Texts for Cardiovascular Diseases with Deep Neural Network Using a Weighted Feature Representation Method
by: Nizar Ahmed, et al.
Published: (2020-10-01)

A Hybrid Bidirectional Recurrent Convolutional Neural Network Attention-Based Model for Text Classification
by: Jin Zheng, et al.
Published: (2019-01-01)

Named Entity Recognition From Biomedical Texts Using a Fusion Attention-Based BiLSTM-CRF
by: Hao Wei, et al.
Published: (2019-01-01)

Statistical learning as a reference point for memory distortions: Swap and shift errors
by: Golomb, J.D, et al.
Published: (2021)

Multi‐layered attentional peephole convolutional LSTM for abstractive text summarization
by: Md. Motiur Rahman, et al.
Published: (2020-12-01)

Using Position-Enhanced Attention Mechanism for Aspect-Based Sentiment Classi-fication
by: ZHANG Zhoubin, XIANG Yan, LIANG Junge, YANG Jialin, MA Lei
Published: (2020-04-01)

An Algorithm for Natural Images Text Recognition Using Four Direction Features
by: Min Zhang, et al.
Published: (2019-08-01)

Representational states in memory: Where do we stand?
by: Ilke eÖztekin, et al.
Published: (2015-08-01)

Real-Time Speech Enhancement Algorithm Based on Attention LSTM
by: Ruiyu Liang, et al.
Published: (2020-01-01)

Tweets Classification on the Base of Sentiments for US Airline Companies
by: Furqan Rustam, et al.
Published: (2019-11-01)

An LSTM-Based Deep Learning Approach for Classifying Malicious Traffic at the Packet Level
by: Ren-Hung Hwang, et al.
Published: (2019-08-01)

Hybrid Analysis of Android Applications for Security Vetting
by: Chaulagain, Dewan
Published: (2019)

Keeping it real: Looking beyond capacity limits in visual cognition
by: Draschkow, D., et al.
Published: (2021)

Preregistered Replication of the Auditory Deviant Effect: A Robust Benchmark Finding
by: Raoul Bell, et al.
Published: (2019-06-01)

Prioritizing Targets and Minimizing Distraction Within Limited Capacity Working Memory
by: Richard J. Allen
Published: (2019-08-01)

Fluctuations of Attention and Working Memory
by: Kirsten C.S. Adam, et al.
Published: (2019-08-01)

Biomedical named entity recognition using deep neural networks with contextual information
by: Hyejin Cho, et al.
Published: (2019-12-01)

Deep Learning for Load Forecasting: Sequence to Sequence Recurrent Neural Networks With Attention
by: Ljubisa Sehovac, et al.
Published: (2020-01-01)

Proactive Inhibition in Short-Term Memory
by: Pennal, Billy E.
Published: (1970)

SA-JSTN: Self-Attention Joint Spatiotemporal Network for Temperature Forecasting
by: Lukui Shi, et al.
Published: (2021-01-01)

Working memory capacity and pitch discrimination
by: Payne, Tabitha W.
Published: (2009)

GKEEP: An Enhanced Graph‐Based Keyword Extractor With Error‐Feedback Propagation for Geoscience Reports
by: Qinjun Qiu, et al.
Published: (2021-05-01)

Attention-Based Convolutional LSTM for Describing Video
by: Zhongyu Liu, et al.
Published: (2020-01-01)

Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features
by: Alvaro Joaquin Gaona, et al.
Published: (2020-12-01)

Spatiotemporal Features—Extracted Travel Time Prediction Leveraging Deep-Learning-Enabled Graph Convolutional Neural Network Model
by: Xiantong Li, et al.
Published: (2021-01-01)

DeepCPDP: Deep Learning Based Cross-Project Defect Prediction
by: Deyu Chen, et al.
Published: (2019-01-01)

CAttSleepNet: Automatic End-to-End Sleep Staging Using Attention-Based Deep Neural Networks on Single-Channel EEG
by: Hu, S., et al.
Published: (2022)

A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification
by: Qiu-Jie Lv, et al.
Published: (2020-01-01)

Precious Metal Price Prediction Based on Deep Regularization Self-Attention Regression
by: Junhao Zhou, et al.
Published: (2020-01-01)

A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism
by: Eva Lieskovská, et al.
Published: (2021-05-01)

Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks
by: Kun Zhou, et al.
Published: (2020-12-01)