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Self-distillation framework for document-level relation extraction in low-resource environments. [PDF]
PeerJ Comput SciWu H, Zhou G, Xia Y, Liu H, Zhang T.
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Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. [PDF]
J Biomed InformPeng C +6 more
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Open Hierarchical Relation Extraction
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021Open relation extraction (OpenRE) aims to extract novel relation types from open-domain corpora, which plays an important role in completing the relation schemes of knowledge bases (KBs). Most OpenRE methods cast different relation types in isolation without considering their hierarchical dependency.
Kai Zhang 0033 +7 more
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A Relational Framework for Information Extraction
ACM SIGMOD Record, 2016Information Extraction commonly refers to the task of populating a relational schema, having predefined underlying semantics, from textual content. This task is pervasive in contemporary computational challenges associated with Big Data. In this article we provide an overview of our work on document spanners--a relational framework for Information ...
Fagin, Ronald +3 more
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Review of entity relation extraction
Journal of Intelligent & Fuzzy Systems, 2023In today’s big data era, there are a large number of unstructured information resources on the web. Natural language processing researchers have been working hard to figure out how to extract useful information from them. Entity Relation Extraction is a crucial step in Information Extraction and provides technical support for Knowledge Graphs ...
Meimei Tuo, Wenzhong Yang
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A Survey on Relation Extraction
2017Relation extraction, as an important part of information extraction, can be used for many applications such as question-answering and knowledge base population. To thoroughly comprehend relation extraction, the paper reviews it mainly concentrating on its mainstream methods. Besides, open information extraction (OIE), as a different relation extraction
Meiji Cui +3 more
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Learning to Extract Relations for Relational Classification
2009Relational classifiers use relations between objects to predict the class values. In some cases the relations are explicitly given. In other cases the dataset contains implicit relations, e.g. the relation is hidden inside of noisy attribute values. To apply relational classifiers for this task, the relations have to be extracted.
Steffen Rendle +2 more
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On Relational Learning for Information Extraction
2012The extraction and integration of data from multiples sources are required in current companies which manage their business process by heterogeneous collaborating applications. However, integrating web applications is an arduous task because they are intended for human consumption and they do not provide APIs to access to their data automatically.Web ...
Patricia Jiménez +2 more
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