no code implementations • WS 2017 • Teresa Botschen, Hatem Mousselly-Sergieh, Iryna Gurevych
Automatic completion of frame-to-frame (F2F) relations in the FrameNet (FN) hierarchy has received little attention, although they incorporate meta-level commonsense knowledge and are used in downstream approaches.
no code implementations • WS 2017 • Maxime Peyrard, Teresa Botschen, Iryna Gurevych
The evaluation of summaries is a challenging but crucial task of the summarization field.
no code implementations • NAACL 2018 • Teresa Botschen, Iryna Gurevych, Jan-Christoph Klie, Hatem Mousselly-Sergieh, Stefan Roth
Our analysis shows that for the German data, textual representations are still competitive with multimodal ones.
no code implementations • SEMEVAL 2018 • Hatem Mousselly-Sergieh, Teresa Botschen, Iryna Gurevych, Stefan Roth
Current methods for knowledge graph (KG) representation learning focus solely on the structure of the KG and do not exploit any kind of external information, such as visual and linguistic information corresponding to the KG entities.
1 code implementation • COLING 2018 • Lisa Beinborn, Teresa Botschen, Iryna Gurevych
This survey discusses how recent developments in multimodal processing facilitate conceptual grounding of language.
1 code implementation • WS 2018 • Teresa Botschen, Daniil Sorokin, Iryna Gurevych
Common-sense argumentative reasoning is a challenging task that requires holistic understanding of the argumentation where external knowledge about the world is hypothesized to play a key role.
no code implementations • 14 Sep 2019 • Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth
One of the key challenges in learning joint embeddings of multiple modalities, e. g. of images and text, is to ensure coherent cross-modal semantics that generalize across datasets.