Nina Dethlefs

Orcid: 0000-0002-6917-5066

According to our database1, Nina Dethlefs authored at least 67 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
BDA at SemEval-2024 Task 4: Detection of Persuasion in Memes Across Languages with Ensemble Learning and External Knowledge.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Towards AI for approximating hydrodynamic simulations as a 2D segmentation task.
Proceedings of the Northern Lights Deep Learning Conference, 2024

Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Real-time social media sentiment analysis for rapid impact assessment of floods.
Comput. Geosci., September, 2023

This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy.
Patterns, January, 2023

Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes.
IEEE Trans. Affect. Comput., 2023

Multi-channel Convolutional Neural Network for Precise Meme Classification.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association.
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022
Facilitating a smoother transition to renewable energy with AI.
Patterns, 2022

Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future.
CoRR, 2022

Automated Question-Answering for Interactive Decision Support in Operations & Maintenance of Wind Turbines.
IEEE Access, 2022

Multimodal Approach to Early Detection of Harmful Algal Blooms.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2022), 2022

Modelling Phytoplankton Behaviour in the North and Irish Sea with Transformer Networks.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

RELATE: Generating a linguistically inspired Knowledge Graph for fine-grained emotion classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms.
Proceedings of the Model-Based Safety and Assessment - 8th International Symposium, 2022

Imputation of Partially Observed Water Quality Data Using Self-Attention LSTM.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
A divide-and-conquer approach to neural natural language generation from structured data.
Neurocomputing, 2021

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

2020
XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines.
CoRR, 2020

A Deep Learning Approach Towards Prediction of Faults in Wind Turbines.
CoRR, 2020

A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets.
Proceedings of the 3rd Workshop on Affective Content Analysis (AffCon 2020) co-located with Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), 2020

2019
Modularity Within Artificial Gene Regulatory Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Dilated LSTM with attention for Classification of Suicide Notes.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Evolutionary Constraint in Artificial Gene Regulatory Networks.
Proceedings of the Advances in Computational Intelligence Systems, 2018

2017
Domain Transfer for Deep Natural Language Generation from Abstract Meaning Representations.
IEEE Comput. Intell. Mag., 2017

Deep Text Generation - Using Hierarchical Decomposition to Mitigate the Effect of Rare Data Points.
Proceedings of the Language, Data, and Knowledge - First International Conference, 2017

Transparency Of Execution Using Epigenetic Networks.
Proceedings of the Fourteenth European Conference Artificial Life, 2017

DEFIne: A Fluent Interface DSL for Deep Learning Applications.
Proceedings of the 2nd International Workshop on Real World Domain Specific Languages, 2017

2016
Information density and overlap in spoken dialogue.
Comput. Speech Lang., 2016

Automatic Identification of Suicide Notes from Linguistic and Sentiment Features.
Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, 2016

Extrinsic Versus Intrinsic Evaluation of Natural Language Generation for Spoken Dialogue Systems and Social Robotics.
Proceedings of the Dialogues with Social Robots, 2016

2015
Hierarchical reinforcement learning for situated natural language generation.
Nat. Lang. Eng., 2015

Reports of the AAAI 2014 Conference Workshops.
AI Mag., 2015

Proceedings of the 4th Workshop on Machine Learning for Interactive Systems (MLIS-2015).
Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015

2014
Nonstrict Hierarchical Reinforcement Learning for Interactive Systems and Robots.
ACM Trans. Interact. Intell. Syst., 2014

Introduction to the Special Issue on Machine Learning for Multiple Modalities in Interactive Systems and Robots.
ACM Trans. Interact. Intell. Syst., 2014

Context-Sensitive Natural Language Generation: From Knowledge-Driven to Data-Driven Techniques.
Lang. Linguistics Compass, 2014

Training a statistical surface realiser from automatic slot labelling.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014


A Semi-supervised Clustering Approach for Semantic Slot Labelling.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Cluster-based Prediction of User Ratings for Stylistic Surface Realisation.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

A joint learning approach for situated language generation.
Proceedings of the Natural Language Generation in Interactive Systems, 2014

2013
Hierarchical joint learning for natural language generation.
PhD thesis, 2013

Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search.
Proceedings of the SIGDIAL 2013 Conference, 2013

Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition.
Proceedings of the SIGDIAL 2013 Conference, 2013

Machine learning for interactive systems and robots: a brief introduction.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013

Barge-in effects in Bayesian dialogue act recognition and simulation.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Conditional Random Fields for Responsive Surface Realisation using Global Features.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Incremental Spoken Dialogue Systems: Tools and Data.
Proceedings of the Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data, 2012

Comparing HMMs and Bayesian Networks for Surface Realisation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Dialogue Systems Using Online Learning: Beyond Empirical Methods.
Proceedings of the Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data, 2012

Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers.
Proceedings of the INLG 2012 - Proceedings of the Seventh International Natural Language Generation Conference, 30 May 2012, 2012

Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Hierarchical Dialogue Policy Learning using Flexible State Transitions and Linear Function Approximation.
Proceedings of the COLING 2012, 2012

2011
Spatially-aware dialogue control using hierarchical reinforcement learning.
ACM Trans. Speech Lang. Process., 2011

Generation of Adaptive Route Descriptions in Urban Environments.
Spatial Cogn. Comput., 2011

Optimising Natural Language Generation Decision Making For Situated Dialogue.
Proceedings of the SIGDIAL 2011 Conference, 2011

Optimizing Situated Dialogue Management in Unknown Environments.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue.
Proceedings of the ENLG 2011, 2011

The Bremen System for the GIVE-2.5 Challenge.
Proceedings of the ENLG 2011, 2011

Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Route instructions in map-based human-human and human-computer dialogue: A comparative analysis.
J. Vis. Lang. Comput., 2010

A Dialogue System for Indoor Wayfinding Using Text-Based Natural Language.
Int. J. Comput. Linguistics Appl., 2010

Generating Adaptive Route Instructions Using Hierarchical Reinforcement Learning.
Proceedings of the Spatial Cognition VII, International Conference, 2010

Hierarchical Reinforcement Learning for Adaptive Text Generation.
Proceedings of the INLG 2010, 2010


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