Results 21 to 30 of about 745,152 (307)
Dialogue-Based Relation Extraction [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 To appear in ACL ...
Dian Yu 0001 +3 more
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AI Open, 2020 Event is a common but non-negligible knowledge type. How to identify events from texts, extract their arguments, even analyze the relations between different events are important for many applications.
Kang Liu +4 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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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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Relation Extraction : A Survey
CoRR, 2017 With the advent of the Internet, large amount of digital text is generated everyday in the form of news articles, research publications, blogs, question answering forums and social media. It is important to develop techniques for extracting information automatically from these documents, as lot of important information is hidden within them.
Sachin Pawar +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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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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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). URE methods can be categorised into generative and discriminative approaches, which rely either on hand-crafted features or surface form.
Thy Thy Tran, Phong Le, Sophia Ananiadou
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BioRel: towards large-scale biomedical relation extraction
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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An Entity Relation Extraction Method Based on Dynamic Context and Multi-Feature Fusion
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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