Results 21 to 30 of about 1,302,763 (303)
Exploring a Multi-Layered Cross-Genre Corpus of Document-Level Semantic Relations
Information, 2023 This paper introduces a multi-layered cross-genre corpus, annotated for coreference resolution, causal relations, and temporal relations, comprising a variety of genres, from news articles and children’s stories to Reddit posts.
Gregor Williamson +5 more
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Automatic relationship extraction from agricultural text for ontology construction
Information Processing in Agriculture, 2018 In the present era of Big Data the demand for developing efficient information processing techniques for different applications is expanding steadily. One such possible application is automatic creation of ontology.
Neha Kaushik, Niladri Chatterjee
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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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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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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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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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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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An Open Relation Extraction Method for Domain Text Based on Hybrid Supervised Learning
Applied Sciences, 2023 Current research on knowledge graph construction is focused chiefly on general-purpose fields, whereas constructing knowledge graphs in vertically segmented professional fields faces numerous difficulties.
Xiaoxiong Wang, Jianpeng Hu
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DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT
Applied Sciences, 2020 Along with studies on artificial intelligence technology, research is also being carried out actively in the field of natural language processing to understand and process people’s language, in other words, natural language.
SungMin Yang, SoYeop Yoo, OkRan Jeong
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