Results 41 to 50 of about 5,797,629 (324)
Review of Text-Oriented Entity Relation Extraction Research [PDF]
Jisuanji kexue yu tansuoInformation extraction is the foundation of knowledge graph construction, and relation extraction, as a key process and core step of information extraction, aims to locate entities from text data and recognize semantic links between entities.
REN Anqi, LIU Lin, WANG Hailong, LIU Jing
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Relation Extraction with Explanation [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 Recent neural models for relation extraction with distant supervision alleviate the impact of irrelevant sentences in a bag by learning importance weights for the sentences. Efforts thus far have focused on improving extraction accuracy but little is known about their explainability.
Shahbazi, Hamed +3 more
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An Improved Baseline for Sentence-level Relation Extraction [PDF]
AACL, 2021 Sentence-level relation extraction (RE) aims at identifying the relationship between two entities in a sentence. Many efforts have been devoted to this problem, while the best performing methods are still far from perfect.
Wenxuan Zhou, Muhao Chen
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Handling Uncertainty in Relation Extraction [PDF]
Proceedings of the 8th International Conference on Knowledge Capture, 2015 Relation extraction involves different types of uncertainty due to the imperfection of the extraction tools and the inherent ambiguity of unstructured text. In this paper, we discuss several ways of handling uncertainties in relation extraction from social media.
Verburg, Jochem +2 more
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ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning [PDF]
North American Chapter of the Association for Computational Linguistics, 2021 While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict unseen relations that cannot be observed at the training stage.
Chih-Yao Chen, Cheng-Te Li
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EANT: Distant Supervision for Relation Extraction with Entity Attributes via Negative Training
Applied Sciences, 2022 Distant supervision for relation extraction (DSRE) automatically acquires large-scale annotated data by aligning the corpus with the knowledge base, which dramatically reduces the cost of manual annotation.
Xuxin Chen, Xinli Huang
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Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension [PDF]
J. Am. Medical Informatics Assoc., 2023 OBJECTIVE To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehension (MRC) architecture with good generalizability for cross-institution ...
Cheng Peng +5 more
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Relation extraction for biological pathway construction using node2vec
BMC Bioinformatics, 2018 Background Systems biology is an important field for understanding whole biological mechanisms composed of interactions between biological components.
Munui Kim, Seung Han Baek, Min Song
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Mathematics, 2023 Relation extraction, a fundamental task in natural language processing, aims to extract entity triples from unstructured data. These triples can then be used to build a knowledge graph.
Yu Wang +4 more
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Advanced Engineering Informatics, 2023 Fault diagnosis is the key concern in the operation and maintenance of industrial assets. A fault diagnosis knowledge graph (KG) can provide decision support to the engineers to efficiently conduct maintenance tasks.
C. Chen +6 more
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