Deep learning|based methods for natural hazard named entity ...

Deep learning-based methods for natural hazard named entity ...

Natural hazard named entity recognition is a technique used to recognize natural hazard entities from a large number of texts.

(PDF) Deep learning-based methods for natural hazard named ...

A natural hazard named entity recognition method based on deep learning is proposed, namely XLNet-BiLSTM-CRF model. Finally, the research ...

[PDF] Deep learning-based methods for natural hazard named entity ...

The results show that this method, which is superior to other methods, can effectively recognize natural hazard named entities and the research hotspots of ...

Deep learning-based methods for natural hazard named entity ...

AbstractNatural hazard named entity recognition is a technique used to recognize natural hazard entities from a large number of texts. The method of natural ...

[PDF] Deep Learning-Based Named Entity Recognition and ...

Deep Learning-Based Named Entity Recognition and Knowledge Graph Construction for Geological Hazards ... Deep learning-based methods for natural hazard named ...

Deep Learning-Based Named Entity Recognition and Knowledge ...

Named entity recognition (NER), as a core technology for constructing a geological hazard knowledge graph, has to face the challenges that named entities in ...

BiLSTM model structure diagram. - ResearchGate

Download scientific diagram | BiLSTM model structure diagram. from publication: Deep learning-based methods for natural hazard named entity recognition ...

Extracting Named Entity Using Entity Labeling in Geological Text ...

Deep learning-based methods for natural hazard named entity recognition ... Avoid common mistakes on your manuscript. References Cited.

A Named Entity Recognition and Topic Modeling-based Solution for ...

In this work, we explore three key challenges associated with disaster informatics in social media by proposing a three-step complete framework ...

Named Entity Recognition and Knowledge Graph Construction

Related Papers · Deep Learning-Based Named Entity Recognition System Using Hybrid Embedding - [2022] · Deep learning-based methods for natural hazard named entity ...

A deep-learning approach to leveraging natural hazard indicators ...

Highlights · Deep learning techniques were adopted for improved safety on construction sites. · Learning performance of DNN, LSTM and RNN algorithms were explored ...

A Generative Model for Geological Named Entity Recognition | S-Logix

Each generated sentence is then used as input to the self-training and learning algorithm. Experimental results on two constructed data sets demonstrate that ...

A Chinese named entity recognition method for landslide geological ...

Our study focuses on developing a deep learning-based NER model for extracting landslide-related entities from a large corpus of landslide disaster documents.

Toward establishing a knowledge graph for drought disaster based ...

Deep learning methods were adopted to automatically recognize named entities of drought disasters. METHODS. Listen. Drought disaster knowledge ...

Semi-supervised geological disasters named entity recognition ...

Without training on large-scale labeled data, current NER methods based on deep learning models cannot identify specific geological disaster ...

A Comparative Study of Deep Learning Methods for the Detection ...

natural disasters based on predefined natural disaster types. Several previous attempts provide an evaluation of methods for classifying tweet disaster, such as.

A Deep Learning Model of Spatial Distance and Named Entity ...

None of the found machine learning models based on NER used processed spatial information related to toponyms in their structure. The proposed model was tested ...

What is Named Entity Recognition (NER)? Methods, Use Cases ...

These techniques intertwine rule-based, statistical, and machine learning approaches, aiming to capture the best of all worlds. They're ...

GAO-24-106213, Artificial Intelligence in Natural Hazard Modeling

machine learning model based on a ... development and applications of machine learning techniques to improve natural hazard forecasting.

A Deep Learning Model of Spatial Distance and Named Entity ...

The proposed SD-NER model achieved an F1 score of 0.920 for the binary classification task, improving the model without this spatial module by 17%. The proposed ...