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Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
A survey of automatic text summarization: Progress, process and challenges
With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …
increased exponentially. This text volume is a precious source of information and knowledge …
Understanding ore-forming conditions using machine reading of text
Mineral exploration reports assist present day exploration by providing valuable
observations about the geological environments in which mineral deposits form. Querying …
observations about the geological environments in which mineral deposits form. Querying …
Joint extraction of entities, relations, and events via modeling inter-instance and inter-label dependencies
Event trigger detection, entity mention recognition, event argument extraction, and relation
extraction are the four important tasks in information extraction that have been performed …
extraction are the four important tasks in information extraction that have been performed …
A knowledge graph method for hazardous chemical management: Ontology design and entity identification
Hazardous chemicals are widely used in the production activities of the chemical industry.
The risk management of hazardous chemicals is critical to the safety of life and property …
The risk management of hazardous chemicals is critical to the safety of life and property …
Understanding geological reports based on knowledge graphs using a deep learning approach
Geological reports aid in understanding exploration by providing valuable information on
rock formation, evolution and the geological environment in which deposits formed …
rock formation, evolution and the geological environment in which deposits formed …
Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning
The engineering geology report serves as a comprehensive portrayal of the geological
conditions and information within a surveyed region, making it highly valuable for extracting …
conditions and information within a surveyed region, making it highly valuable for extracting …
Deep learning-based named entity recognition and knowledge graph construction for geological hazards
Constructing a knowledge graph of geological hazards literature can facilitate the reuse of
geological hazards literature and provide a reference for geological hazard governance …
geological hazards literature and provide a reference for geological hazard governance …
E-NER--An Annotated Named Entity Recognition Corpus of Legal Text
Identifying named entities such as a person, location or organization, in documents can
highlight key information to readers. Training Named Entity Recognition (NER) models …
highlight key information to readers. Training Named Entity Recognition (NER) models …
Joint extraction of entity relations from geological reports based on a novel relation graph convolutional network
Geological reports house a wealth of geological domain knowledge and expert experience
knowledge, and the efficient extraction of geological entity relations from these texts holds …
knowledge, and the efficient extraction of geological entity relations from these texts holds …