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Large Language Models for Generative Information Extraction: A Survey
Frontiers Comput. Sci., 2023Information Extraction (IE) aims to extract structural knowledge from plain natural language texts. Recently, generative Large Language Models (LLMs) have demonstrated remarkable capabilities in text understanding and generation.
Derong Xu +8 more
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LLMs Accelerate Annotation for Medical Information Extraction
ML4H@NeurIPS, 2023The unstructured nature of clinical notes within electronic health records often conceals vital patient-related information, making it challenging to access or interpret.
Akshay Goel +12 more
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Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
IEEE International Conference on Document Analysis and Recognition, 2021The relevance of the Key Information Extraction (KIE) task is increasingly important in natural language processing problems. But there are still only a few well-defined problems that serve as benchmarks for solutions in this area. To bridge this gap, we
Tomasz Stanislawek +7 more
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Web information extraction [PDF]
2005 IEEE International Conference on Information Acquisition, 2006 Along with the continuous development of the Internet technologies, Web pages can provide a huge amount of information resource. It alters the traditional way of preserving and searching information. The queries target to the Web page becomes huge and more and more important.
Man I Lam, Zhiguo Gong
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LAMBERT: Layout-Aware Language Modeling for Information Extraction
IEEE International Conference on Document Analysis and Recognition, 2020We introduce a simple new approach to the problem of understanding documents where non-trivial layout influences the local semantics. To this end, we modify the Transformer encoder architecture in a way that allows it to use layout features obtained from
Lukasz Garncarek +6 more
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Foundations and Trends® in Databases, 2007
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of structured databases and the abundance of unstructured data. The field of information extraction has its genesis in the natural language processing community where the primary ...
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The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of structured databases and the abundance of unstructured data. The field of information extraction has its genesis in the natural language processing community where the primary ...
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IEEE Intelligent Systems, 2015
Information extraction constructs a structured knowledge representation from unstructured text, so that the knowledge may be further used for search, inference, and analysis. Given a specification of select types of entities, semantic relations, and events, it builds a database from instances of this information in text.
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Information extraction constructs a structured knowledge representation from unstructured text, so that the knowledge may be further used for search, inference, and analysis. Given a specification of select types of entities, semantic relations, and events, it builds a database from instances of this information in text.
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Enriching contextualized language model from knowledge graph for biomedical information extraction
Briefings Bioinform., 2020Biomedical information extraction (BioIE) is an important task. The aim is to analyze biomedical texts and extract structured information such as named entities and semantic relations between them.
Hao Fei +4 more
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