Results 21 to 30 of about 2,637,088 (356)
Complexity, 2021 To identify relationships among entities in natural language texts, extraction of entity relationships technically provides a fundamental support for knowledge graph, intelligent information retrieval, and semantic analysis, promotes the construction of ...
Chengyao Lv +4 more
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Review on Named Entity Recognition [PDF]
Jisuanji kexue yu tansuo, 2022 In the field of natural language processing, named entity recognition is the first key step of information extraction. Named entity recognition task aims to recognize named entities from a large number of unstructured texts and classify them into ...
LI Dongmei, LUO Sisi, ZHANG Xiaoping, XU Fu
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Modeling Crop Genetic Resources Phenotyping Information Systems
Frontiers in Plant Science, 2019 Documentation of phenotype information is a priority need in biodiversity, crop modeling, breeding, ecology, and evolution research, for association studies, gene discovery, retrospective statistical analysis and data mining, QTL re-mapping, choosing ...
Christoph U. Germeier, Stefan Unger
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IEEE Access, 2023 As an important research field of artificial intelligence, knowledge graph develops rapidly, and triplet extraction is the key to the construction of a knowledge graph. The traditional pipeline extraction method will bring the error of entity recognition
Yibo Liu, Feng Wen, Teng Zong, Taowei Li
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Fine-grained Question Answering over Knowledge Graph Based on BiLSTM-CRF [PDF]
Jisuanji gongcheng, 2020 Question answering over knowledge graph is complex in the filtering of candidate master entities of questions,and most existing models ignore the fine-grained correlation between questions and relationships.To address the problem,this paper proposes a ...
ZHANG Chuting, CHANG Liang, WANG Wenkai, CHEN Hongliang, BIN Chenzhong
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Ontology-Instances Joint Learning Method Fusing Entity Type Information [PDF]
Jisuanji gongcheng, 2022 The joint learning of the ontology graph and the instance graph that represent the knowledge graph can effectively improve the efficiency of embedded learning, but it cannot represent the ambiguity of entities in different scenarios.In this regard, this ...
YOU Leqi, PEI Zhongmin, LUO Zhangkai
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Creation of intelligent information decision support systems [PDF]
E3S Web of Conferences, 2023 The use of intelligent information decision support systems implies considering the problem area's specifics. The object of study is characterized by the following set of features: - quality and efficiency of decision-making; - vagueness of goals and ...
Sultanov Murodjon +3 more
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A Basis for Interactive Schema Merging [PDF]
, 1992 We present a technique for merging the schemas of heterogeneous databases that generalizes to several different data models, and show how it can be used in an interactive program that merges Entity-Relationship diagrams.
Buneman, P. +3 more
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Answer Extraction Method for Reading Comprehension Based on Frame Semantics and GraphStructure [PDF]
Jisuanji kexue, 2023 Machine reading comprehension is one of the most challenging tasks in the field of natural language processing.With the continuous development of deep learning technology and the release of large-scale MRC datasets,the performance of MRC models keep ...
YANG Zhizhuo, XU Lingling, Zhang Hu, LI Ru
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Modifying Entity Relationship Models for Collaborative Fiction Planning and its Impact on Potential Authors [PDF]
, 2014 We propose a modified Entity Relationship (E-R) model, traditionally used for software engineering, to structure, store and share plot data. The flexibility of E-R modelling has been demonstrated by its decades of usage in a wide variety of situations ...
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