no code implementations • ACL (CODI, CRAC) 2021 • Tatiana Anikina, Cennet Oguz, Natalia Skachkova, Siyu Tao, Sharmila Upadhyaya, Ivana Kruijff-Korbayova
We describe the system developed by the DFKI-TalkingRobots Team for the CODI-CRAC 2021 Shared-Task on anaphora resolution in dialogue.
no code implementations • ACL (CODI, CRAC) 2021 • Natalia Skachkova, Cennet Oguz, Tatiana Anikina, Siyu Tao, Sharmila Upadhyaya, Ivana Kruijff-Korbayova
We compare our team’s systems to others submitted for the CODI-CRAC 2021 Shared-Task on anaphora resolution in dialogue.
no code implementations • EMNLP (sustainlp) 2020 • Cennet Oguz, Ngoc Thang Vu
In this paper, we propose a novel two-stage model architecture that can be trained with only a few in-domain hand-labeled examples.
1 code implementation • 9 Oct 2023 • Nils Feldhus, Qianli Wang, Tatiana Anikina, Sahil Chopra, Cennet Oguz, Sebastian Möller
While recently developed NLP explainability methods let us open the black box in various ways (Madsen et al., 2022), a missing ingredient in this endeavor is an interactive tool offering a conversational interface.
1 code implementation • ICCV 2021 • Anindita Ghosh, Noshaba Cheema, Cennet Oguz, Christian Theobalt, Philipp Slusallek
Our model can generate plausible pose sequences for short sentences describing single actions as well as long compositional sentences describing multiple sequential and superimposed actions.
no code implementations • EACL 2021 • Cennet Oguz, Ngoc Thang Vu
Metric-based learning is a well-known family of methods for few-shot learning, especially in computer vision.
1 code implementation • WS 2019 • Dominik Schlechtweg, Cennet Oguz, Sabine Schulte im Walde
We simulate first- and second-order context overlap and show that Skip-Gram with Negative Sampling is similar to Singular Value Decomposition in capturing second-order co-occurrence information, while Pointwise Mutual Information is agnostic to it.