no code implementations • ACL (ISA, IWCS) 2021 • Giuseppe Abrami, Alexander Henlein, Andy Lücking, Attila Kett, Pascal Adeberg, Alexander Mehler
We argue that mainly due to technical innovation in the landscape of annotation tools, a conceptual change in annotation models and processes is also on the horizon.
2 code implementations • LREC 2022 • Giuseppe Abrami, Mevlüt Bagci, Leon Hammerla, Alexander Mehler
Parliamentary debates represent a large and partly unexploited treasure trove of publicly accessible texts.
1 code implementation • LREC 2022 • Andy Lücking, Manuel Stoeckel, Giuseppe Abrami, Alexander Mehler
HeidelTime is one of the most widespread and successful tools for detecting temporal expressions in texts.
1 code implementation • 23 May 2021 • Pascal Fischer, Alen Smajic, Alexander Mehler, Giuseppe Abrami
It utilizes state-of-the-art deep learning models for table detection and differentiates between 3 different types of tables based on the tables' borders.
Optical Character Recognition Optical Character Recognition (OCR) +3
no code implementations • 5 Aug 2020 • Andy Lücking, Sebastian Brückner, Giuseppe Abrami, Tolga Uslu, Alexander Mehler
The two main findings can be summarized as follows: Firstly, the three kinds of resources can indeed be distinguished in terms of their threshold concepts' profiles.
1 code implementation • 21 May 2020 • Alexander Mehler, Bernhard Jussen, Tim Geelhaar, Alexander Henlein, Giuseppe Abrami, Daniel Baumartz, Tolga Uslu, Wahed Hemati
In this article we present the Frankfurt Latin Lexicon (FLL), a lexical resource for Medieval Latin that is used both for the lemmatization of Latin texts and for the post-editing of lemmatizations.
no code implementations • LREC 2020 • Alex Henlein, Giuseppe Abrami, Attila Kett, Alex Mehler, er
People{'}s visual perception is very pronounced and therefore it is usually no problem for them to describe the space around them in words.
no code implementations • LREC 2020 • Giuseppe Abrami, Manuel Stoeckel, Alex Mehler, er
The annotation of texts and other material in the field of digital humanities and Natural Language Processing (NLP) is a common task of research projects.