Papers by Laks V.S. Lakshmanan

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Papers by Laks V.S. Lakshmanan

COLING

2020.coling-main

structured knowledge representation
information extraction techniques
financial dictionary
precision
question answering
fact checking
data integration
downstream applications
extracting valuable knowledge
information extraction

2020

Multimodality

1 papers

A High Precision Pipeline for Financial Knowledge Graph Construction (2020.coling-main)

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Sarah Elhammadi, Laks V.S. Lakshmanan, Raymond Ng, Michael Simpson, Baoxing Huai, Zhefeng Wang, Lanjun Wang

Challenge:	Knowledge graphs are a standard for structured knowledge representation in the Semantic Web.
Approach:	They propose to extract financial news articles into a knowledge graph by using a financial dictionary.
Outcome:	The proposed pipeline extracts 342,000 financial news articles with a precision of 78% at the top-100 extractions.

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