Results 21 to 30 of about 9,925,080 (369)
Aspect Sentiment Triplet Extraction Based on Deep Relationship Enhancement Networks [PDF]
Applied SciencesThe task of aspect-based sentiment analysis (ASBA) is to identify all the sentiment analyses expressed by specific aspect words in the text. How to identify specific objects (i.e., aspect words), describe the modifiers of the specific objects (i.e ...
Jun Peng, Baohua Su
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Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature. [PDF]
J Am Med Inform Assoc, 2016 OBJECTIVE Identifying disease-mutation relationships is a significant challenge in the advancement of precision medicine. The aim of this work is to design a tool that automates the extraction of disease-related mutations from biomedical text to advance ...
Singhal A, Simmons M, Lu Z.
europepmc +2 more sources
Spatial Relationship Extraction of Geographic Entities Based on BERT Model
Journal of Physics: Conference Series, 2022 Geographic entity relationship extraction from text is an important way to acquire geographic knowledge. Entity relations in Chinese text are difficult to discover because of implicit representations of relations between entities in Chinese text ...
Jiannan Yang, Hong Jia, Hanbing Liu
semanticscholar +1 more source
Mob. Networks Appl., 2022 To solve the problem of inaccurate entity extraction caused by low application efficiency and big data noise in telemedicine sensing data, a deep learning-based method for entity relationship extraction in telemedicine big data is proposed.
Wenkui Zheng, Wei Hou, Chun-Wei Lin
semanticscholar +1 more source
Extracting Semantic Relationships in Greek Literary Texts [PDF]
Sustainability, 2021 In the era of Big Data, the digitization of texts and the advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP) are enabling the automatic analysis of literary works, allowing us to delve into the structure of artifacts and to compare, explore, manage and preserve the richness of our written heritage.
Despina Christou, Grigorios Tsoumakas
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Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system. [PDF]
J Biomed Semantics, 2015 We develop medical-specialty specific ontologies that contain the settled science and common term usage. We leverage current practices in information and relationship extraction to streamline the ontology development process.
Doing-Harris K, Livnat Y, Meystre S.
europepmc +2 more sources
A Survey of Information Extraction Based on Deep Learning
Applied Sciences, 2022 As a core task and an important link in the fields of natural language understanding and information retrieval, information extraction (IE) can structure and semanticize unstructured multi-modal information.
Yang Yang +5 more
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Extractant Influence on the Relationship between Extractable Proteins and Cold Tolerance of Alfalfa [PDF]
Plant Physiology, 1976 The influence of ionic composition and pH of extractant on the relationship between the extracted proteins and the cold tolerance of Vernal and Arizona Common alfalfa (Medicago sativa L.) was examined. Five environments were used to induce different tolerance levels.
Wade F. Faw, Gerald A. Jung, Sao C. Shih
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An Automated Pipeline for Character and Relationship Extraction from Readers Literary Book Reviews on Goodreads.com [PDF]
Web Science Conference, 2020 Reader reviews of literary fiction on social media, especially those in persistent, dedicated forums, create and are in turn driven by underlying narrative frameworks. In their comments about a novel, readers generally include only a subset of characters
Shadi Shahsavari +7 more
semanticscholar +1 more source
IEEE Access, 2020 Relationship extraction among diseases, symptoms and tests has always been a concerning research issue in the biomedical field. Disease-pertinent relationship extraction for user-generated content in the online health community represents a research ...
Yanli Zhang, Xinmiao Li, Zhe Zhang
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