Joachim Bingel

14 papers · 2016–2019 · 8 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🤝 Dynamic Duo (10)

🤝 Dynamic Duo (10) 🧭 Keyword Pioneer 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year · Productive 💎 Century Club · Bronze

Venues

ACL (5) NAACL (2) SemEval (2) AAAI (1) COLING (1) CoNLL (1) EACL (1) IJCNLP (1)

Top co-authors

Anders Søgaard (10) Maria Barrett (4) Gustavo Paetzold (2) Marcel Bollmann (2) Carolina Scarton (1) Marek Rei (1) Johannes Bjerva (1) Frank Keller (1) Sigrid Klerke (1) Ana Valeria González (1)

Research topics

Machine Learning (8) Learning Types · Machine Learning (6) Deep Learning (5) Natural Language Processing (4) Learning Types · Deep Learning (4) Artificial Intelligence (3) Core Methods (3) Learning Paradigms (3) Applications (2) Architectures (2) Generation (2) Application Areas (1) Core AI (1)

Keywords

multi-task learning (6) neural network (3) attention mechanism (2) text simplification (2) text normalization (2) hierarchical classification (1) natural language processing (1) transfer learning (1) low-resource learning (1) neural architecture search (1) eye tracking (1) sequence labeling (1) parameter sharing (1) low-resource language (1) adaptive system (1) encoder-decoder architecture (1) deep neural network (1) task relationship (1) word embedding (1) cross-lingual transfer (1)

Papers

CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs SemEval 2019 Latent Multi-Task Architecture Learning AAAI 2019 Cross-lingual complex word identification with multitask learning NAACL 2018 Lexi: A tool for adaptive, personalized text simplification COLING 2018 Multi-task learning for historical text normalization: Size matters ACL 2018 Predicting misreadings from gaze in children with reading difficulties NAACL 2018 Sequence Classification with Human Attention CoNLL 2018 Identifying beneficial task relations for multi-task learning in deep neural networks EACL 2017 Learning attention for historical text normalization by learning to pronounce ACL 2017 Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs IJCNLP 2017 CoastalCPH at SemEval-2016 Task 11: The importance of designing your Neural Networks right SemEval 2016 Extracting token-level signals of syntactic processing from fMRI - with an application to PoS induction ACL 2016 Text Simplification as Tree Labeling ACL 2016 Weakly Supervised Part-of-speech Tagging Using Eye-tracking Data ACL 2016