We present our contributions for the two tracks of the 2020 FinTOC Shared Tasks: Table of Content (ToC) extraction in English documents and French documents. We describe separately our work on Title Detection and ToC Extraction. For ToC Extraction, we propose an approach that combines information from multiple sources: the table of contents, the wording of the document, and lexical domain knowledge. For the title detection part, we compare surface features to character-based features on various training configurations. We show that title detection results are very sensitive to the kind of training dataset used.