Results 11 to 20 of about 71,458 (159)
Entity Linking Method for Chinese Short Text Based on Siamese-Like Network
Information, 2022 Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer.
Yang Zhang, Jin Liu, Bo Huang, Bei Chen
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Distantly Supervised Relationship Extraction Combined with Residual BiLSTM and Sentence Bag Attention [PDF]
Jisuanji gongcheng, 2022 Entity relationship extraction entails identifying the semantic relationship between entities from unstructured and programmed massive texts and can provide data support for ontology construction, intelligent retrieval, and other tasks.However, the ...
JIANG Xu, QIAN Xuezhong, SONG Wei
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Study on Enhanced Entity Representation for Document-level Relation Extraction [PDF]
Jisuanji kexue, 2023 Document-level relation extraction is a hot and challenging issue in natural language processing.Graph-based model is one of the mainstream methods of document-level relation extraction.Although this method can effectively solve the long-distance ...
DING Xiaoyao, ZHOU Gang, LU Jicang, CHEN Jing
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A Novel Joint Extraction Model for Entity Relations Using Interactive Encoding and Visual Attention
IEEE Access, 2023 Relationship extraction is a fundamental task in natural language processing, with applications ranging from knowledge graph construction to information retrieval. Existing entity-relationship joint extraction models have made significant strides in this
Youren Yu +3 more
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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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