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- W3213862484 abstract "In this paper, we present an automatic knowledge base construction system from large scale enterprise documents with minimal efforts of human intervention. In the design and deployment of such a knowledge mining system for enterprise, we faced several challenges including data distributional shift, performance evaluation, compliance requirements and other practical issues. We leveraged state-of-the-art deep learning models to extract information (named entities and definitions) at per document level, then further applied classical machine learning techniques to process global statistical information to improve the knowledge base. Experimental results are reported on actual enterprise documents. This system is currently serving as part of a Microsoft 365 service." @default.
- W3213862484 created "2021-11-22" @default.
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- W3213862484 date "2021-06-29" @default.
- W3213862484 modified "2023-09-26" @default.
- W3213862484 title "Automatic Construction of Enterprise Knowledge Base" @default.
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- W3213862484 doi "https://doi.org/10.48550/arxiv.2106.15085" @default.
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