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2020 – today
- 2024
[c45]Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak:
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing. EMNLP 2024: 15525-15531- [c44]Lydia Bryan-Smith, Nina Dethlefs:
Towards AI for approximating hydrodynamic simulations as a 2D segmentation task. NLDL 2024: 27-35 - [c43]Victoria Sherratt, Sedat Dogan, Ifeoluwa Wuraola, Lydia Bryan-Smith, Oyinkansola Onwuchekwa, Nina Dethlefs:
BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge. SemEval@NAACL 2024: 123-132 - 2023
- [j17]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: 105405 (2023) - [j16]Joyjit Chatterjee, Nina Dethlefs:
This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy. Patterns 4(1): 100676 (2023) - [j15]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): 153-164 (2023) - [c42]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 - [c41]Victoria Sherratt, Kevin Pimbblet, Nina Dethlefs:
Multi-channel Convolutional Neural Network for Precise Meme Classification. ICMR 2023: 190-198 - [e4]Smaranda Muresan, Vivian Chen, Casey Kenningto, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes:
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, ALTA 2023, Melbourne, Australia, November 29 - December 1, 2023. Association for Computational Linguistics 2023 [contents] - 2022
- [j14]Joyjit Chatterjee, Nina Dethlefs:
Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines. IEEE Access 10: 84710-84737 (2022) - [j13]Joyjit Chatterjee, Nina Dethlefs:
Facilitating a smoother transition to renewable energy with AI. Patterns 3(6): 100528 (2022) - [c40]Onatkut Dagtekin, Nina Dethlefs:
Imputation of Partially Observed Water Quality Data Using Self-Attention LSTM. IJCNN 2022: 1-8 - [c39]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: 189-203 - [c38]Annika Marie Schoene, Nina Dethlefs, Sophia Ananiadou:
RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification. LREC 2022: 6317-6327 - [c37]Onatkut Dagtekin, Nina Dethlefs:
Modelling Phytoplankton Behaviour in the North and Irish Sea with Transformer Networks. NLDL 2022 - [c36]Onatkut Dagtekin, Nina Dethlefs:
Multimodal Approach to Early Detection of Harmful Algal Blooms. MACLEAN@PKDD/ECML 2022 - [i4]Joyjit Chatterjee, Nina Dethlefs:
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future. CoRR abs/2204.02360 (2022) - [i3]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 abs/2207.09457 (2022) - 2021
- [j12]Nina Dethlefs, Annika Marie Schoene, Heriberto Cuayáhuitl:
A divide-and-conquer approach to neural natural language generation from structured data. Neurocomputing 433: 300-309 (2021) - [c35]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 - [e3]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, Singapore and Online, July 29-31, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-81-7 [contents] - 2020
- [c34]Annika Marie Schoene, Alexander P. Turner, Nina Dethlefs:
Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets. AffCon@AAAI 2020: 100-117 - [c33]George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner:
Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules. IJCCI 2020: 167-175 - [c32]Joyjit Chatterjee, Nina Dethlefs:
A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. IJCNN 2020: 1-10 - [e2]Olivier Pietquin, Smaranda Muresan, Vivian Chen, Casey Kennington, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes:
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGdial 2020, 1st virtual meeting, July 1-3, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-02-6 [contents] - [i2]Joyjit Chatterjee, Nina Dethlefs:
A Deep Learning Approach Towards Prediction of Faults in Wind Turbines. CoRR abs/2001.03612 (2020) - [i1]Joyjit Chatterjee, Nina Dethlefs:
XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines. CoRR abs/2012.10489 (2020)
2010 – 2019
- 2019
- [c31]Annika Marie Schoene, George Lacey, Alexander P. Turner, Nina Dethlefs:
Dilated LSTM with attention for Classification of Suicide Notes. LOUHI@EMNLP 2019: 136-145 - [c30]George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner:
Modularity Within Artificial Gene Regulatory Networks. CEC 2019: 731-738 - 2018
- [c29]Alexander P. Turner, George Lacey, Annika Marie Schoene, Nina Dethlefs:
Evolutionary Constraint in Artificial Gene Regulatory Networks. UKCI 2018: 29-40 - 2017
- [j11]Nina Dethlefs:
Domain Transfer for Deep Natural Language Generation from Abstract Meaning Representations. IEEE Comput. Intell. Mag. 12(3): 18-28 (2017) - [c28]Nina Dethlefs, Ken A. Hawick:
DEFIne: A Fluent Interface DSL for Deep Learning Applications. RWDSL@CGO 2017: 3 - [c27]Alexander P. Turner, Nina Dethlefs:
Transparency Of Execution Using Epigenetic Networks. ECAL 2017: 404-411 - [c26]Nina Dethlefs, Alexander P. Turner:
Deep Text Generation - Using Hierarchical Decomposition to Mitigate the Effect of Rare Data Points. LDK 2017: 290-298 - 2016
- [j10]Nina Dethlefs, Helen F. Hastie, Heriberto Cuayáhuitl, Yanchao Yu, Verena Rieser, Oliver Lemon:
Information density and overlap in spoken dialogue. Comput. Speech Lang. 37: 82-97 (2016) - [c25]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: 303-311 - [c24]Annika Marie Schoene, Nina Dethlefs:
Automatic Identification of Suicide Notes from Linguistic and Sentiment Features. LaTeCH@ACL 2016 - 2015
- [j9]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): 87-98 (2015) - [j8]Nina Dethlefs, Heriberto Cuayáhuitl:
Hierarchical reinforcement learning for situated natural language generation. Nat. Lang. Eng. 21(3): 391-435 (2015) - [c23]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: 4 - 2014
- [j7]Nina Dethlefs:
Context-Sensitive Natural Language Generation: From Knowledge-Driven to Data-Driven Techniques. Lang. Linguistics Compass 8(3): 99-115 (2014) - [j6]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): 12e:1-12e:6 (2014) - [j5]Heriberto Cuayáhuitl, Ivana Kruijff-Korbayová, Nina Dethlefs:
Nonstrict Hierarchical Reinforcement Learning for Interactive Systems and Robots. ACM Trans. Interact. Intell. Syst. 4(3): 15:1-15:30 (2014) - [c22]Nina Dethlefs, Heriberto Cuayáhuitl, Helen F. Hastie, Verena Rieser, Oliver Lemon:
Cluster-based Prediction of User Ratings for Stylistic Surface Realisation. EACL 2014: 702-711 - [c21]Heriberto Cuayáhuitl, Nina Dethlefs, Helen F. Hastie:
A Semi-supervised Clustering Approach for Semantic Slot Labelling. ICMLA 2014: 500-505 - [c20]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: 260-262 - [c19]Heriberto Cuayáhuitl, Nina Dethlefs, Helen F. Hastie, Xingkun Liu:
Training a statistical surface realiser from automatic slot labelling. SLT 2014: 112-117 - [p1]Nina Dethlefs, Heriberto Cuayáhuitl:
A joint learning approach for situated language generation. Natural Language Generation in Interactive Systems 2014: 180-204 - 2013
- [b1]Nina Dethlefs:
Hierarchical joint learning for natural language generation. University of Bremen, DISKI 340, AKA 2013, ISBN 978-3-89838-340-0, pp. 1-238 - [c18]Nina Dethlefs, Helen Wright Hastie, Heriberto Cuayáhuitl, Oliver Lemon:
Conditional Random Fields for Responsive Surface Realisation using Global Features. ACL (1) 2013: 1254-1263 - [c17]Heriberto Cuayáhuitl, Nina Dethlefs, Helen Wright Hastie, Oliver Lemon:
Barge-in effects in Bayesian dialogue act recognition and simulation. ASRU 2013: 102-107 - [c16]Heriberto Cuayáhuitl, Martijn van Otterlo, Nina Dethlefs, Lutz Frommberger:
Machine learning for interactive systems and robots: a brief introduction. MLIS@IJCAI 2013: 19-28 - [c15]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: 154-156 - [c14]Heriberto Cuayáhuitl, Nina Dethlefs, Helen F. Hastie, Oliver Lemon:
Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition. SIGDIAL Conference 2013: 314-318 - [e1]Heriberto Cuayáhuitl, Lutz Frommberger, Nina Dethlefs, Martijn van Otterlo:
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems - Bridging the Gap Between Perception, Action and Communication, MLIS@IJCAI 2013, Beijing, China, August 4, 2013. ACM 2013, ISBN 978-1-4503-2019-1 [contents] - 2012
- [c13]Heriberto Cuayáhuitl, Ivana Kruijff-Korbayová, Nina Dethlefs:
Hierarchical Dialogue Policy Learning using Flexible State Transitions and Linear Function Approximation. COLING (Demos) 2012: 95-102 - [c12]Nina Dethlefs, Helen Wright Hastie, Verena Rieser, Oliver Lemon:
Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems. EMNLP-CoNLL 2012: 82-93 - [c11]Nina Dethlefs, Helen Wright Hastie, Verena Rieser, Oliver Lemon:
Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers. INLG 2012: 49-58 - [c10]Heriberto Cuayáhuitl, Nina Dethlefs:
Dialogue Systems Using Online Learning: Beyond Empirical Methods. SDCTD@NAACL-HLT 2012: 7-8 - [c9]Helen F. Hastie, Oliver Lemon, Nina Dethlefs:
Incremental Spoken Dialogue Systems: Tools and Data. SDCTD@NAACL-HLT 2012: 15-16 - [c8]Nina Dethlefs, Heriberto Cuayáhuitl:
Comparing HMMs and Bayesian Networks for Surface Realisation. HLT-NAACL 2012: 636-640 - 2011
- [j4]Nina Dethlefs, Yunhui Wu, Aisan Kazerani, Stephan Winter:
Generation of Adaptive Route Descriptions in Urban Environments. Spatial Cogn. Comput. 11(2): 153-177 (2011) - [j3]Heriberto Cuayáhuitl, Nina Dethlefs:
Spatially-aware dialogue control using hierarchical reinforcement learning. ACM Trans. Speech Lang. Process. 7(3): 5:1-5:26 (2011) - [c7]Nina Dethlefs, Heriberto Cuayáhuitl:
Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation. ACL (2) 2011: 654-659 - [c6]Nina Dethlefs, Heriberto Cuayáhuitl:
Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue. ENLG 2011: 110-120 - [c5]Nina Dethlefs:
The Bremen System for the GIVE-2.5 Challenge. ENLG 2011: 284-289 - [c4]Heriberto Cuayáhuitl, Nina Dethlefs:
Optimizing Situated Dialogue Management in Unknown Environments. INTERSPEECH 2011: 1009-1012 - [c3]Nina Dethlefs, Heriberto Cuayáhuitl, Jette Viethen:
Optimising Natural Language Generation Decision Making For Situated Dialogue. SIGDIAL Conference 2011: 78-87 - 2010
- [j2]Heriberto Cuayáhuitl, Nina Dethlefs, Kai-Florian Richter, Thora Tenbrink, John A. Bateman:
A Dialogue System for Indoor Wayfinding Using Text-Based Natural Language. Int. J. Comput. Linguistics Appl. 1(1-2): 285-304 (2010) - [j1]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): 292-309 (2010) - [c2]Nina Dethlefs, Heriberto Cuayáhuitl:
Hierarchical Reinforcement Learning for Adaptive Text Generation. INLG 2010 - [c1]Heriberto Cuayáhuitl, Nina Dethlefs, Lutz Frommberger, Kai-Florian Richter, John A. Bateman:
Generating Adaptive Route Instructions Using Hierarchical Reinforcement Learning. Spatial Cognition 2010: 319-334
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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