Kalina Bontcheva
Artificial Intelligence · 2002–2020
A researcher in the Science corpus: 11 papers; trusts 22 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it; #13,556 of 35,345 by trust here, #8,893 by citations
- Sociology and Political Science — 45 citations into it; #15,725 of 22,756 by trust here, #5,224 by citations
- Natural Language Processing — 44 citations into it; #3,618 of 5,688 by trust here, #2,695 by citations
- Information Systems — 31 citations into it
- Statistical and Nonlinear Physics — 29 citations into it
- Evaluation & Benchmarks — 24 citations into it; #2,056 of 3,147 by trust here, #2,482 by citations
- AI Ethics, Fairness & Society — 9 citations into it
- Molecular Biology — 9 citations into it
Whom Kalina Bontcheva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carlos Castillo
- Aditi Gupta
- Zeynep Tufekci
- Vahed Qazvinian
- Marcos Zampieri
- Arkaitz Zubiaga
- Omar Zaidan
- Hamish Cunningham
- Marcelo Mendoza
- Aniket Kittur
Who trusts Kalina Bontcheva overall
- Abeer Aldayel
- Bertie Vidgen
- Leon Derczynski
- Masatoshi Tsuchiya
- Theresa Wilson
- Anna Kazantseva
- Walid Magdy
- Alessandro Bondielli
- Aida Mostafazadeh Davani
- Ramy Baly
Papers from Kalina Bontcheva's perspective
Ordered by how strongly the researchers Kalina Bontcheva trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Efficient Estimation of Word Representations in Vector Space
- GloVe: Global Vectors for Word Representation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- GATE: an Architecture for Development of Robust HLT applications (2002) — 1,754 citations
- Analysis of named entity recognition and linking for tweets (2014) — 377 citations
- SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours (2017) — 377 citations
- Stance Detection with Bidirectional Conditional Encoding (2016) — 451 citations
- Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis (2020) — 127 citations
- Detection and Resolution of Rumours in Social Media (2017) — 891 citations
- Overview of the Special Issue on Trust and Veracity of Information in Social Media (2016) — 47 citations
- Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics (2013) — 390 citations
- Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network (2019) — 50 citations
- Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines (2014) — 189 citations
- A framework and graphical development environment for robust NLP tools and applications. (2002) — 390 citations