Answering Factoid Questions in the Biomedical Domain. - Dirk Weissenborn; George Tsatsaronis 001; Michael Schroeder 001 (BioASQ@CLEF, 2013)

DBpedia Spotlight at the MSM2013 Challenge. - Pablo N. Mendes; Dirk Weissenborn; Chris Hokamp (#MSM, 2013)

Multi-Objective Optimization for the Joint Disambiguation of Nouns and Named Entities. - Dirk Weissenborn; Leonhard Hennig; Feiyu Xu 001; Hans Uszkoreit (ACL (1), 2015)

DFKI: Multi-objective Optimization for the Joint Disambiguation of Entities and Nouns & Deep Verb Sense Disambiguation. - Dirk Weissenborn; Feiyu Xu 001; Hans Uszkoreit (SemEval@NAACL-HLT, 2015)

Discovering relations between indirectly connected biomedical concepts. - Dirk Weissenborn; Michael Schroeder 001; George Tsatsaronis 001 (J. Biomed. Semant., 2015)

An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition. - George Tsatsaronis 001; Georgios Balikas; Prodromos Malakasiotis; Ioannis Partalas; Matthias Zschunke; Michael R. Alvers; Dirk Weissenborn; Anastasia Krithara; Sergios Petridis; Dimitris Polychronopoulos; Yannis Almirantis; John Pavlopoulos; et al. (BMC Bioinform., 2015)

Event Linking with Sentential Features from Convolutional Neural Networks. - Sebastian Krause; Feiyu Xu 001; Hans Uszkoreit; Dirk Weissenborn (CoNLL, 2016)

Neural Associative Memory for Dual-Sequence Modeling. - Dirk Weissenborn (Rep4NLP@ACL, 2016)

A Light-weight & Robust System for Clinical Concept Disambiguation. - Dirk Weissenborn; Roland Roller; Feiyu Xu 001; Hans Uszkoreit; Enrique Garcia Perez (SMBM, 2016)

SynsetRank: Degree-adjusted Random Walk for Relation Identification. - Shinichi Nakajima; Sebastian Krause; Dirk Weissenborn; Sven Schmeier; Nico Görnitz; Feiyu Xu (CoRR, 2016)

Separating Answers from Queries for Neural Reading Comprehension. - Dirk Weissenborn (CoRR, 2016)

MuFuRU: The Multi-Function Recurrent Unit. - Dirk Weissenborn; Tim Rocktäschel (CoRR, 2016)

Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs. - Sebastian Krause; Leonhard Hennig; Andrea Moro 001; Dirk Weissenborn; Feiyu Xu 001; Hans Uszkoreit; Roberto Navigli (J. Web Semant., 2016)

Neural Question Answering at BioASQ 5B. - Georg Wiese; Dirk Weissenborn; Mariana L. Neves (BioNLP, 2017)

Making Neural QA as Simple as Possible but not Simpler. - Dirk Weissenborn; Georg Wiese; Laura Seiffe (CoNLL, 2017)

Neural Domain Adaptation for Biomedical Question Answering. - Georg Wiese; Dirk Weissenborn; Mariana L. Neves (CoNLL, 2017)

Reading Twice for Natural Language Understanding. - Dirk Weissenborn (CoRR, 2017)

FastQA: A Simple and Efficient Neural Architecture for Question Answering. - Dirk Weissenborn; Georg Wiese; Laura Seiffe (CoRR, 2017)

Jack the Reader - A Machine Reading Framework. - Dirk Weissenborn; Pasquale Minervini; Isabelle Augenstein; Johannes Welbl; Tim Rocktäschel; Matko Bosnjak; Jeff Mitchell 001; Thomas Demeester; Tim Dettmers; Pontus Stenetorp; Sebastian Riedel 001 (ACL (4), 2018)

Cross-lingual Candidate Search for Biomedical Concept Normalization. - Roland Roller; Madeleine Kittner; Dirk Weissenborn; Ulf Leser (CoRR, 2018)

Axial Attention in Multidimensional Transformers. - Jonathan Ho; Nal Kalchbrenner; Dirk Weissenborn; Tim Salimans (CoRR, 2019)

Scaling Autoregressive Video Models. - Dirk Weissenborn; Oscar Täckström; Jakob Uszkoreit (ICLR, 2020)

Object-Centric Learning with Slot Attention. - Francesco Locatello; Dirk Weissenborn; Thomas Unterthiner; Aravindh Mahendran; Georg Heigold; Jakob Uszkoreit; Alexey Dosovitskiy; Thomas Kipf (NeurIPS, 2020)

Differentiable Patch Selection for Image Recognition. - Jean-Baptiste Cordonnier; Aravindh Mahendran; Alexey Dosovitskiy; Dirk Weissenborn; Jakob Uszkoreit; Thomas Unterthiner (CVPR, 2021)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. - Alexey Dosovitskiy; Lucas Beyer; Alexander Kolesnikov 003; Dirk Weissenborn; Xiaohua Zhai; Thomas Unterthiner; Mostafa Dehghani 001; Matthias Minderer; Georg Heigold; Sylvain Gelly; Jakob Uszkoreit; Neil Houlsby (ICLR, 2021)

Colorization Transformer. - Manoj Kumar; Dirk Weissenborn; Nal Kalchbrenner (ICLR, 2021)

Simple Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 2022)

Simple Open-Vocabulary Object Detection with Vision Transformers. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)