Filip Ginter
Artificial Intelligence · 2007–2022
A researcher in the Science corpus: 16 papers; trusts 63 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 143 citations into it; #15,880 of 35,345 by trust here, #4,080 by citations
- Natural Language Processing — 126 citations into it
- Evaluation & Benchmarks — 43 citations into it
- Molecular Biology — 36 citations into it; #6,178 of 17,773 by trust here, #8,381 by citations
- Computer Vision and Pattern Recognition — 24 citations into it
- Computational Linguistics & Semantics — 18 citations into it
- Information Extraction — 14 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
Whom Filip Ginter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marie-Catherine de Marneffe
- Franz Joseph Och
- Tomas Mikolov
- Geoffrey E. Hinton
- Christopher D. Manning
- Kenneth Heafield
- Yoshua Bengio
- Richard Socher
- Diederik P. Kingma
- Philipp Koehn
Who trusts Filip Ginter overall
- Zhiyong Lu
- Ye Zhang
- Chanqin Quan
- Yuan Luo
- Marie-Catherine de Marneffe
- Christopher D. Manning
- Lei Hua
- Jörg Tiedemann
- Leon Weber
- Fei Li
Papers from Filip Ginter's perspective
Ordered by how strongly the researchers Filip Ginter trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- Universal Dependencies v1: A Multilingual Treebank Collection (2016) — 1,486 citations
- Universal Stanford dependencies: A cross-linguistic typology (2014) — 556 citations
- GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
- Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection (2020) — 657 citations
- Multilingual is not enough: BERT for Finnish (2019) — 318 citations
- CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (2017) — 354 citations
- CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (2018) — 433 citations
- BioInfer: a corpus for information extraction in the biomedical domain (2007) — 538 citations
- Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools (2016) — 13 citations
- All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning (2008) — 313 citations
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019) — 434 citations
- Universal Dependencies (2021) — 338 citations
- Universal Dependencies 2.1 (2017) — 425 citations
- Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016 (2016) — 40 citations
- Morphological Segmentation and OPUS for Finnish-English Machine Translation (2015) — 8 citations
- Distributional Semantics Resources for Biomedical Text Processing (2013) — 512 citations