Nina Dethlefs

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 32

Top Venues

University of Bremen (PHD)

Education History

University of Bremen

PHD

Publications

Lydia Bryan-Smith, Nina Dethlefs
Towards AI for approximating hydrodynamic simulations as a 2D segmentation task. NLDL (2024)
Victoria Sherratt, Kevin Pimbblet, Nina Dethlefs
Multi-channel Convolutional Neural Network for Precise Meme Classification. ICMR (2023)
Lydia Bryan-Smith, Jake Godsall, Franky George, Kelly Egode, Nina Dethlefs, Daniel R. Parsons
Real-time social media sentiment analysis for rapid impact assessment of floods. Comput. Geosci. 178 (2023)
Smaranda Muresan, Vivian Chen, Casey Kennington, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association. ALTA (2023)
Annika Marie Schoene, Alexander P. Turner, Geeth de Mel, Nina Dethlefs
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes. IEEE Trans. Affect. Comput. 14 (1) (2023)
Joyjit Chatterjee, Nina Dethlefs
This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy. Patterns 4 (1) (2023)
Joyjit Chatterjee, Nina Dethlefs
Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines. IEEE Access 10 (2022)
Annika Marie Schoene, Nina Dethlefs, Sophia Ananiadou
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification. LREC (2022)
Onatkut Dagtekin, Nina Dethlefs
Multimodal Approach to Early Detection of Harmful Algal Blooms. MACLEAN@PKDD/ECML (2022)
Joyjit Chatterjee, Nina Dethlefs
Facilitating a smoother transition to renewable energy with AI. Patterns 3 (6) (2022)
Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms. CoRR (2022)
Onatkut Dagtekin, Nina Dethlefs
Imputation of Partially Observed Water Quality Data Using Self-Attention LSTM. IJCNN (2022)
Onatkut Dagtekin, Nina Dethlefs
Modelling Phytoplankton Behaviour in the North and Irish Sea with Transformer Networks. NLDL (2022)
Connor Walker, Callum Rothon, Koorosh Aslansefat, Yiannis Papadopoulos, Nina Dethlefs
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms. IMBSA (2022)
Joyjit Chatterjee, Nina Dethlefs
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future. CoRR (2022)
Haizhou Li, Gina-Anne Levow, Zhou Yu, Chitralekha Gupta, Berrak Sisman, Siqi Cai, David Vandyke, Nina Dethlefs, Yan Wu, Junyi Jessy Li
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue. SIGDIAL (2021)
Nina Dethlefs, Annika Marie Schoene, Heriberto Cuayáhuitl
A divide-and-conquer approach to neural natural language generation from structured data. Neurocomputing 433 (2021)
Joyjit Chatterjee, Nina Dethlefs
A Deep Learning Approach Towards Prediction of Faults in Wind Turbines. CoRR (2020)
Annika Marie Schoene, Alexander P. Turner, Nina Dethlefs
Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets. AffCon@AAAI (2020)
Joyjit Chatterjee, Nina Dethlefs
XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines. CoRR (2020)
George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules. IJCCI (2020)
Joyjit Chatterjee, Nina Dethlefs
A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. IJCNN (2020)
George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner
Modularity Within Artificial Gene Regulatory Networks. CEC (2019)
Annika Marie Schoene, George Lacey, Alexander P. Turner, Nina Dethlefs
Dilated LSTM with attention for Classification of Suicide Notes. LOUHI@EMNLP (2019)
Alexander P. Turner, George Lacey, Annika Marie Schoene, Nina Dethlefs
Evolutionary Constraint in Artificial Gene Regulatory Networks. UKCI (2018)
Nina Dethlefs, Ken A. Hawick
DEFIne: A Fluent Interface DSL for Deep Learning Applications. RWDSL@CGO (2017)
Nina Dethlefs, Alexander P. Turner
Deep Text Generation - Using Hierarchical Decomposition to Mitigate the Effect of Rare Data Points. LDK (2017)
Alexander P. Turner, Nina Dethlefs
Transparency Of Execution Using Epigenetic Networks. ECAL (2017)
Nina Dethlefs
Domain Transfer for Deep Natural Language Generation from Abstract Meaning Representations. IEEE Comput. Intell. Mag. 12 (3) (2017)
Helen F. Hastie, Heriberto Cuayáhuitl, Nina Dethlefs, Simon Keizer, Xingkun Liu
Extrinsic Versus Intrinsic Evaluation of Natural Language Generation for Spoken Dialogue Systems and Social Robotics. IWSDS (2016)
Nina Dethlefs, Helen F. Hastie, Heriberto Cuayáhuitl, Yanchao Yu, Verena Rieser, Oliver Lemon
Information density and overlap in spoken dialogue. Comput. Speech Lang. 37 (2016)
Annika Marie Schoene, Nina Dethlefs
Automatic Identification of Suicide Notes from Linguistic and Sentiment Features. LaTeCH@ACL (2016)
Heriberto Cuayáhuitl, Nina Dethlefs, Lutz Frommberger, Martijn van Otterlo, Olivier Pietquin
Proceedings of the 4th Workshop on Machine Learning for Interactive Systems (MLIS-2015). MLIS@ICML (2015)
Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36 (1) (2015)
Nina Dethlefs, Heriberto Cuayáhuitl
Hierarchical reinforcement learning for situated natural language generation. Nat. Lang. Eng. 21 (3) (2015)
Nina Dethlefs
Context-Sensitive Natural Language Generation: From Knowledge-Driven to Data-Driven Techniques. Lang. Linguistics Compass 8 (3) (2014)
Heriberto Cuayáhuitl, Nina Dethlefs, Helen F. Hastie
A Semi-supervised Clustering Approach for Semantic Slot Labelling. ICMLA (2014)
Heriberto Cuayáhuitl, Nina Dethlefs, Helen F. Hastie, Xingkun Liu
Training a statistical surface realiser from automatic slot labelling. SLT (2014)
Heriberto Cuayáhuitl, Lutz Frommberger, Nina Dethlefs, Antoine Raux, Matthew Marge, Hendrik Zender
Introduction to the Special Issue on Machine Learning for Multiple Modalities in Interactive Systems and Robots. ACM Trans. Interact. Intell. Syst. 4 (3) (2014)
Heriberto Cuayáhuitl, Ivana Kruijff-Korbayová, Nina Dethlefs
Nonstrict Hierarchical Reinforcement Learning for Interactive Systems and Robots. ACM Trans. Interact. Intell. Syst. 4 (3) (2014)
Nina Dethlefs, Heriberto Cuayáhuitl, Helen F. Hastie, Verena Rieser, Oliver Lemon
Cluster-based Prediction of User Ratings for Stylistic Surface Realisation. EACL (2014)
Helen F. Hastie, Marie-Aude Aufaure, Panos Alexopoulos, Hugues Bouchard, Catherine Breslin, Heriberto Cuayáhuitl, Nina Dethlefs, Milica Gasic, James Henderson, Oliver Lemon, Xingkun Liu, Peter Mika, Nesrine Ben Mustapha, Tim Potter, Verena Rieser, Blaise Thomson, Pirros Tsiakoulis, Yves Vanrompay, Boris Villazón-Terrazas, Majid Yazdani, Steve J. Young, Yanchao Yu
The PARLANCE mobile application for interactive search in English and Mandarin. SIGDIAL Conference (2014)
Heriberto Cuayáhuitl, Martijn van Otterlo, Nina Dethlefs, Lutz Frommberger
Machine learning for interactive systems and robots: a brief introduction. MLIS@IJCAI (2013)
Heriberto Cuayáhuitl, Nina Dethlefs, Helen Wright Hastie, Oliver Lemon
Barge-in effects in Bayesian dialogue act recognition and simulation. ASRU (2013)
Nina Dethlefs, Helen Wright Hastie, Heriberto Cuayáhuitl, Oliver Lemon
Conditional Random Fields for Responsive Surface Realisation using Global Features. ACL (1) (2013)
Heriberto Cuayáhuitl, Nina Dethlefs, Helen F. Hastie, Oliver Lemon
Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition. SIGDIAL Conference (2013)
Helen F. Hastie, Marie-Aude Aufaure, Panos Alexopoulos, Heriberto Cuayáhuitl, Nina Dethlefs, Milica Gasic, James Henderson, Oliver Lemon, Xingkun Liu, Peter Mika, Nesrine Ben Mustapha, Verena Rieser, Blaise Thomson, Pirros Tsiakoulis, Yves Vanrompay
Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search. SIGDIAL Conference (2013)
Helen F. Hastie, Oliver Lemon, Nina Dethlefs
Incremental Spoken Dialogue Systems: Tools and Data. SDCTD@NAACL-HLT (2012)
Nina Dethlefs, Helen Wright Hastie, Verena Rieser, Oliver Lemon
Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems. EMNLP-CoNLL (2012)
Nina Dethlefs, Helen Wright Hastie, Verena Rieser, Oliver Lemon
Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers. INLG (2012)
Heriberto Cuayáhuitl, Ivana Kruijff-Korbayová, Nina Dethlefs
Hierarchical Dialogue Policy Learning using Flexible State Transitions and Linear Function Approximation. COLING (Demos) (2012)
Heriberto Cuayáhuitl, Nina Dethlefs
Dialogue Systems Using Online Learning: Beyond Empirical Methods. SDCTD@NAACL-HLT (2012)
Nina Dethlefs, Heriberto Cuayáhuitl
Comparing HMMs and Bayesian Networks for Surface Realisation. HLT-NAACL (2012)
Nina Dethlefs, Heriberto Cuayáhuitl
Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue. ENLG (2011)
Nina Dethlefs
The Bremen System for the GIVE-2.5 Challenge. ENLG (2011)
Heriberto Cuayáhuitl, Nina Dethlefs
Optimizing Situated Dialogue Management in Unknown Environments. INTERSPEECH (2011)
Nina Dethlefs, Heriberto Cuayáhuitl
Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation. ACL (2) (2011)
Nina Dethlefs, Yunhui Wu, Aisan Kazerani, Stephan Winter
Generation of Adaptive Route Descriptions in Urban Environments. Spatial Cogn. Comput. 11 (2) (2011)
Heriberto Cuayáhuitl, Nina Dethlefs
Spatially-aware dialogue control using hierarchical reinforcement learning. ACM Trans. Speech Lang. Process. 7 (3) (2011)
Nina Dethlefs, Heriberto Cuayáhuitl, Jette Viethen
Optimising Natural Language Generation Decision Making For Situated Dialogue. SIGDIAL Conference (2011)
Heriberto Cuayáhuitl, Nina Dethlefs, Lutz Frommberger, Kai-Florian Richter, John A. Bateman
Generating Adaptive Route Instructions Using Hierarchical Reinforcement Learning. Spatial Cognition (2010)
Heriberto Cuayáhuitl, Nina Dethlefs, Kai-Florian Richter, Thora Ten-Brink, John A. Bateman
A Dialogue System for Indoor Wayfinding Using Text-Based Natural Language. Int. J. Comput. Linguistics Appl. 1 (1-2) (2010)
Thora Tenbrink, Robert J. Ross, Kavita E. Thomas, Nina Dethlefs, Elena Andonova
Route instructions in map-based human-human and human-computer dialogue: A comparative analysis. J. Vis. Lang. Comput. 21 (5) (2010)
Nina Dethlefs, Heriberto Cuayáhuitl
Hierarchical Reinforcement Learning for Adaptive Text Generation. INLG (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nina Dethlefs