Business Event Curation: Merging Human and Automated Approaches

Yiqi Wang, Huiying Ma, Nichola Lowe, Maryann Feldman, Charles Schmitt

AAAI 2016 pp. 4272-4273

doi:10.1609/AAAI.V30I1.9934 /aaai/2016/wang2016aaai-business/

Abstract

We present preliminary work to construct a knowledge curation system to advance research in the study of regional economics. The proposed system exploits natural language processing (NLP) techniques to automatically implement business event extraction, provides a user-facing interface to assist human curators, and a feedback loop to improve the performance of the Information Extraction Model for the automated parts of the system. Progress to date has shown that we can improve standard NLP approaches for entity and relationship extraction through heuristic means and provide indexing of extracted relationships to aid curation.

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Cite

Text

Wang et al. "Business Event Curation: Merging Human and Automated Approaches." AAAI Conference on Artificial Intelligence, 2016. doi:10.1609/AAAI.V30I1.9934

Markdown

[Wang et al. "Business Event Curation: Merging Human and Automated Approaches." AAAI Conference on Artificial Intelligence, 2016.](https://mlanthology.org/aaai/2016/wang2016aaai-business/) doi:10.1609/AAAI.V30I1.9934

BibTeX

@inproceedings{wang2016aaai-business,
  title     = {{Business Event Curation: Merging Human and Automated Approaches}},
  author    = {Wang, Yiqi and Ma, Huiying and Lowe, Nichola and Feldman, Maryann and Schmitt, Charles},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {4272-4273},
  doi       = {10.1609/AAAI.V30I1.9934},
  url       = {https://mlanthology.org/aaai/2016/wang2016aaai-business/}
}