Ke Tian
OPT Inc, Tokyo, Japan
Zijun Peng
Harbin Institute of Technology (Weihai), China
Ladda ner artikel
Ingår i: Proceedings of the Second Financial Narrative Processing Workshop (FNP 2019), September 30, Turku Finland
Linköping Electronic Conference Proceedings 165:1, s. 1-4
NEALT Proceedings Series 40:1, p. 1-4
Publicerad: 2019-09-30
ISBN: 978-91-7929-997-2
ISSN: 1650-3686 (tryckt), 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.
Inga referenser tillgängliga
