no code implementations • LREC 2020 • Thierry Declerck, John Philip McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel-Ponsoda, Philipp Cimiano, Artem Revenko, Roser Saur{\'\i}, Deirdre Lee, Stefania Racioppa, Jamal Abdul Nasir, Matthias Orlikowsk, Marta Lanau-Coronas, Christian F{\"a}th, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney
In this paper we describe the contributions made by the European H2020 project {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors{'}) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure.
1 code implementation • COLING 2018 • Matthias Orlikowski, Matthias Hartung, Philipp Cimiano
We show that a model which treats the concept terms as analogous and learns weights to compensate for diachronic changes (weighted linear combination) is able to more accurately predict the missing term than a learned transformation and two baselines for most of the evaluated concepts.
no code implementations • ACL 2018 • Matthias Hartung, Hendrik ter Horst, Frank Grimm, Tim Diekmann, Roman Klinger, Philipp Cimiano
Supervised machine learning algorithms require training data whose generation for complex relation extraction tasks tends to be difficult.
no code implementations • 26 Sep 2017 • Hendrik ter Horst, Matthias Hartung, Roman Klinger, Matthias Zwick, Philipp Cimiano
In the context of personalized medicine, text mining methods pose an interesting option for identifying disease-gene associations, as they can be used to generate novel links between diseases and genes which may complement knowledge from structured databases.
no code implementations • WS 2017 • Matthias Hartung, Roman Klinger, Franziska Schmidtke, Lars Vogel
Social media are used by an increasing number of political actors.
no code implementations • EACL 2017 • Matthias Hartung, Fabian Kaupmann, Soufian Jebbara, Philipp Cimiano
Word embeddings have been shown to be highly effective in a variety of lexical semantic tasks.
no code implementations • WS 2014 • Benjamin Paassen, Andreas St{\"o}ckel, Raphael Dickfelder, Jan Philip G{\"o}pfert, Nicole Brazda, Tarek Kirchhoffer, Hans Werner M{\"u}ller, Roman Klinger, Matthias Hartung, Philipp Cimiano