Location metadata extraction from Geosocial data of Road Accident …
2024年11月14日 · We leverage the power of BERT-based models for location metadata extraction, which is a novel application in the context of road accident news analysis. We fine-tune these models on a custom dataset (LbQuAD), demonstrating their effectiveness in extracting precise location information from unstructured news articles.
Geo-parsing and Analysis of Road Traffic Crash Incidents for Data ...
3 天之前 · Road traffic crashes (RTCs) are a major public health concern worldwide, particularly in Nigeria, where road transport is the most common mode of transportation. This study presents the geo-parsing approach for geographic information extraction (IE) of RTC incidents from news articles. We developed two custom, spaCy-based, RTC domain-specific named entity recognition (NER) models: RTC-NER ...
Information Extraction of Aviation Accident Causation …
2024年10月5日 · We propose a Claude-prompt method for extracting aviation accident causation information, leveraging the powerful natural language understanding capabilities of LLMs to extract textual descriptions of accident causes from aviation accident reports, thereby obtaining accident causation entities and their relationships.
Extracting Fallen Objects on the Road From Accident Reports …
Our research presents an innovative process for extracting keywords from incident reports with the pre-trained natural language processing models. We utilized fine-tuning techniques to integrate a BiLSTM-CRF with a fully-connected layer and pre-trained natural language models.
Information Extraction of Aviation Accident Causation …
2024年10月5日 · This paper proposes an information extraction method for aviation accident causation based on Claude-prompt, which relies on the large-scale pre-trained language model Claude 3.5.
Key Information Extraction Method Study for Road Traffic Accidents …
2023年1月29日 · The purpose of this study is to propose a method for extracting key factors in road traffic accident reports by using information extraction technology, which can realize fast and accurate extraction of key information of road traffic accidents.
Analysis of Traffic Accident Based on Knowledge Graph
2022年8月17日 · Based on the case data of traffic accidents and the construction idea of knowledge graph, the knowledge demand, knowledge modeling, knowledge extraction, and knowledge storage of traffic accidents are analyzed in detail.
A data mining approach for traffic accidents, pattern extraction …
2023年12月1日 · In this paper, we have analysed past traffic accident records from the UK STAT19 database with two high level aims (i) detecting trends in terms of the variables (or the attributes) that are present at the time and place of accidents and the relationships between the variables (ii) developing, based on these obtained patterns, a systematic way ...
A deep learning approach for robust traffic accident information ...
2024年2月22日 · The accident information extraction module extracts the key attributes of traffic accidents (e.g. causes, times, locations) from news text using the SoftLexicon-BiLSTM-CRF method. The proposed approach is validated by comparing it with state-of-the-art text mining methods using Chinese news data crawled online.
Knowledge acquisition from chemical accident databases using an ...
2020年9月1日 · The results indicate that the proposed extraction method is well suited to extract accident information. The ontology is useful to discover causal accident relations due to the semantically described context of accident information.
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