This paper is about the authors’ submission to the FEIII 2017 data challenge.
There are two objectives to the challenge:
(a) validate financial relationships and (b) identify interesting and relevant knowledge about financial entities.
The paper is here.
Approach is to classify text as Highly Relevant or not to the Financial domain. Using an ensemble of 3 classifiers with AdaBoost.
Two domain features are used:
1. Financial Vocabulary features.
2. Financial Relationship Pattern features.
Err, cannot read this paper further. I had implemented nearly the same idea last year, and failed to publish it. Damn.