Ke Tian
OPT Inc, Tokyo, Japan
Zijun Peng
Harbin Institute of Technology (Weihai), China
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Published in: Proceedings of the Second Financial Narrative Processing Workshop (FNP 2019), September 30, Turku Finland
Linköping Electronic Conference Proceedings 165:1, p. 1-4
NEALT Proceedings Series 40:1, p. 1-4
Published: 2019-09-30
ISBN: 978-91-7929-997-2
ISSN: 1650-3686 (print), 1650-3740 (online)
This paper mainly describes the aiai that the team submitted to the FinToc-2019 shared task. There are two tasks. One is the title detection task from non-titles in the finance documents. Another one is the TOC (table of contents) prediction from the finance PDF document. The data augmented and attention-based LSTM and BiLSTM models are applied to tackle the title-detection task. The experiment has shown that our methods perform well in predicting titles in finance documents. The result achieved the 1st ranking score on the title detection leaderboard.
