홈 › Papers

AMEX-AI-LABS: Investigating Transfer Learning for Title Detection in Table of Contents Generation

We present a transfer learning approach for Title Detection in FinToC 2020 challenge. Our proposed approach relies on the premise that the geometric layout and character features of the titles and non-titles can be learnt separately from a large corpus, and their learning can then be transferred to a domain-specific dataset. On a domain-specific dataset, we train a Deep Neural Net on the text of the document along with a pre-trained model for geometric and character features. We achieved an F-Score of 83.25 on the test set and secured top rank in the title detection task in FinToC 2020.

Code (0)

등록된 구현이 없습니다.

Tasks

Similar Papers 제목 키워드 기반