Johannes Hoffart
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #14,044 of 35,345 by trust here, #9,170 by citations
- Information Systems — 35 citations into it; #7,236 of 8,771 by trust here, #4,188 by citations
- Natural Language Processing — 32 citations into it; #2,061 of 5,688 by trust here, #1,558 by citations
- Communication — 21 citations into it
- Information Retrieval & Search — 17 citations into it
- Computer Networks and Communications — 11 citations into it
- Molecular Biology — 11 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Johannes Hoffart trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fabian M. Suchanek
- David N. Milne
- Gerhard Weikum
- J. Fleiss
- Sayali Kulkarni
- Ian H. Witten
- Silviu Cucerzan
- Evgeniy Gabrilovich
- Gjergji Kasneci
- Lawrence D. Brown
Who trusts Johannes Hoffart overall
- Zhaochen Guo
- Nicola De Cao
- Avirup Sil
- Michael Röder
- Andrea Moro
- Phong Le
- Wei Shen
- Sarasi Lalithsena
- Peng Wang
- Ikuya Yamada
Papers from Johannes Hoffart's perspective
Ordered by how strongly the researchers Johannes Hoffart trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Using Encyclopedic Knowledge for Named entity Disambiguation (Conference of the European Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract (2013) — 1,320 citations
- KORE: keyphrase overlap relatedness for entity disambiguation (2012) — 242 citations
- YAGO2: exploring and querying world knowledge in time, space, context, and many languages (2011) — 376 citations
- Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models (2020) — 59 citations
- YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames (2016) — 310 citations
- AIDA (2011) — 139 citations
- Robust Disambiguation of Named Entities in Text (2011) — 1,172 citations