… [Limitations] Our model did not include the prior domain knowledge from biomedical field. [Conclusions] The proposed model could effectively conduct entity relationship classification, …
… naturallanguageprocessing (NLP) techniques have been developed for use in the biomedical … entity recognition, semantic role labeling and their application to biomedical question-…
… It recognizes and visualizes interdisciplinary semantic drifts … a framework for identifying and visualizing the semantic drift of domain terms with deep learning algorithms. The framework …
… First, we reviewd knowledge extraction in the Library & Information Science and Computer … [Conclusions] The research framework is helpful to get a thorough understanding of the …
… the deep semantic representation and surface syntactic structure of naturallanguage sentences. [Methods] We proposed an integration strategy based on semantic and syntactic rule …
… [Objective] This paper reviews research on detecting patent infringements, aiming to provide theoretical frameworks and development trends for future studies. [Coverage] We retrieved …
… Description Framework (RDF) format, SPARQL queries can be issued to search for resources based on their semantic … GeoWeb resources and facilitate the GeoWeb resourcediscovery. …
… [Methods] We established an end-to-end framework and used score ranking to identify the … We also built span representation with external multiple semantic representations. Finally, we …
… and the 9th International Joint Conference on NaturalLanguageProcessing. 2019: 3615-… Domain-Specific Language Model Pretraining for BiomedicalNaturalLanguageProcessing[J]. …