Christin Seifert

Robust and Collective Entity Disambiguation through Semantic Embeddings

2016

Entity disambiguation is the task of mapping ambiguous terms in natural-language text to its entities in a knowledge base. It finds its application in the extraction of structured data in RDF (Resource Description Framework) from …

TIR 2017. 14th international workshop on technologies for information retrieval: Preface

2017 · Data Archiving and Networked Services (DANS)

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

Neural Prototype Trees for Interpretable Fine-grained Image Recognition

2021

Prototype-based methods use interpretable representations to address the black-box nature of deep learning models, in contrast to post-hoc explanation methods that only approximate such models. We propose the Neural Prototype Tree (ProtoTree), an intrinsically interpretable …

Towards Interpretable Deep Neural Networks for Tabular Data

2025 · arXiv (Cornell University)

Tabular data is the foundation of many applications in fields such as finance and healthcare. Although DNNs tailored for tabular data achieve competitive predictive performance, they are blackboxes with little interpretability. We introduce XNNTab, a …