@inproceedings{hercig-kral-2020-uwb,
    title = "{UWB}@{F}in{TOC}-2020 Shared Task: Financial Document Title Detection",
    author = "Hercig, Tom{\'a}{\v{s}}  and
      Kral, Pavel",
    editor = "El-Haj, Dr Mahmoud  and
      Athanasakou, Dr Vasiliki  and
      Ferradans, Dr Sira  and
      Salzedo, Dr Catherine  and
      Elhag, Dr Ans  and
      Bouamor, Dr Houda  and
      Litvak, Dr Marina  and
      Rayson, Dr Paul  and
      Giannakopoulos, Dr George  and
      Pittaras, Nikiforos",
    booktitle = "Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "COLING",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.fnp-1.27/",
    pages = "158--162",
    abstract = "This paper describes our system created for the Financial Document Structure Extraction Shared Task (FinTOC-2020): Title Detection. We rely on the Apache PDFBox library to extract text and all additional information e.g. font type and font size from the financial prospectuses. Our constrained system uses only the provided training data without any additional external resources. Our system is based on the Maximum Entropy classifier and various features including font type and font size. Our system achieves F1 score 81{\%} and {\#}1 place in the French track and F1 score 77{\%} and {\#}2 place among 5 participating teams in the English track."
}