zxlzr/Low-resource_KBP
Some papers on low-resource knowledge base population. (mostly from 2018 to 2020)
This is a curated collection of academic papers focused on techniques for extracting information and building knowledge bases from text, especially when you have very little data to start with. It compiles research on identifying entities, relationships between them, and specific events within documents. Researchers and practitioners in natural language processing (NLP) will find this useful for understanding how to tackle data scarcity challenges in knowledge base construction.
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Use this if you are researching or implementing solutions for extracting structured information from text, such as named entities or relationships, but have very limited annotated data available.
Not ideal if you are looking for a software tool or an implementation to directly apply, rather than a compilation of research papers.
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Mar 25, 2020
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