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A survey on Relation Extraction
Intelligent Systems with Applications, 2023 With the advent of the Internet, the daily production of digital text in the form of social media, emails, blogs, news items, books, research papers, and Q&A forums has increased significantly.
Kartik Detroja +2 more
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Multilingual Relation Extraction: A Survey
IEEE AccessRelation extraction plays a fundamental role in applications of various research fields such as knowledge graph construction, event extraction, and question answering over knowledge graphs, as they often rely on extracting relationships between named ...
Manzoor Ali +5 more
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Multi-Attribute Relation Extraction (MARE): Simplifying the Application of Relation Extraction [PDF]
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021 Preprint of short paper for the 2nd International Conference on Deep Learning Theory and Applications (2021)
Lars Klöser +3 more
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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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Label-Guided relation prototype generation for Continual Relation Extraction [PDF]
PeerJ Computer ScienceContinual relation extraction (CRE) aims to extract relations towards the continuous and iterative arrival of new data. To address the problem of catastrophic forgetting, some existing research endeavors have focused on exploring memory replay methods by
Shuang Liu +3 more
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Neural relation extraction: a review
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2021 Neural relation extraction discovers semantic relations between entities from unstructured text using deep learning methods. In this study, we make a clear categorization of the existing relation extraction methods in terms of data expressiveness and data supervision, and present a comprehensive and comparative review.
Mehmet Aydar, Özge Bozal, Furkan Özbay
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Task generality in relation extraction [PDF]
Relation extraction involves the identification of relations between entities in text. Many distinct tasks in natural language processing, including semantic role labeling, quotation analysis, and event extraction, can be categorized as instances of relation extraction, and share similar structures. However, despite the similarities between these tasks,
Papay, Sean
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Composite kernels for relation extraction [PDF]
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers on - ACL-IJCNLP '09, 2009 The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how different kernels for parse trees can be combined to improve the relation extraction quality.
Frank Reichartz +2 more
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Biomedical Relationship Extraction Method Based on Prompt Learning [PDF]
Jisuanji kexue, 2023 Extracting the relationship between entities from unstructured biomedical text data is of great significance for the development of biomedical informatization.At the same time,it is also a research hotspot in the field of natural language processing.At ...
WEN Kunjian, CHEN Yanping, HUANG Ruizhang, QIN Yongbin
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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.
Hamed Shahbazi +3 more
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