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BioRel: towards large-scale biomedical relation extraction [PDF]
BMC Bioinformatics, 2020 Background Although biomedical publications and literature are growing rapidly, there still lacks structured knowledge that can be easily processed by computer programs.
Rui Xing, Jie Luo, Tengwei Song
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Global Relation Embedding for Relation Extraction [PDF]
Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers), 2018 We study the problem of textual relation embedding with distant supervision. To combat the wrong labeling problem of distant supervision, we propose to embed textual relations with global statistics of relations, i.e., the co-occurrence statistics of ...
Gur, Izzeddin +5 more
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Revisiting Unsupervised Relation Extraction [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 Unsupervised relation extraction (URE) extracts relations between named entities from raw text without manually-labelled data and existing knowledge bases (KBs).
Ananiadou, Sophia +2 more
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An Entity Relation Extraction Method Based on Dynamic Context and Multi-Feature Fusion [PDF]
Applied Sciences, 2022 Dynamic context selector, a kind of mask idea, will divide the matrix into some regions, selecting the information of region as the input of model dynamically.
Xiaolin Ma +3 more
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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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Enhancing biomedical relation extraction with directionality. [PDF]
BioinformaticsAbstract Summary Biological relation networks contain rich information for understanding the biological mechanisms behind the relationship of entities such as genes, proteins, diseases, and chemicals.
Lai PT, Wei CH, Tian S, Leaman R, Lu Z.
europepmc +3 more sources
IEEE AccessRelation extraction is a Natural Language Processing task that aims to extract relationships from textual data. It is a critical step for information extraction.
Anushka Swarup +4 more
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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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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)
Klöser, Lars +3 more
openaire +2 more sources
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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