Nina Dethlefs

发表

Optimising Incremental Generation for Information Presentation of Mobile Search Results

Oliver Lemon, Nina Dethlefs, Helen Hastie, 2012 .

Domain Transfer for Deep Natural Language Generation from Abstract Meaning Representations

Nina Dethlefs, Nina Dethlefs, 2017, IEEE Computational Intelligence Magazine.

Route instructions in map-based human-human and human-computer dialogue: A comparative analysis

Nina Dethlefs, Thora Tenbrink, Robert J. Ross, 2010, J. Vis. Lang. Comput..

Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation

Nina Dethlefs, Heriberto Cuayáhuitl, H. Cuayáhuitl, 2011, ACL.

Transparency Of Execution Using Epigenetic Networks

Nina Dethlefs, Alexander P. Turner, 2017, ECAL.

Bidirectional Dilated LSTM with Attention for Fine-grained Emotion Classification in Tweets

Nina Dethlefs, Alexander P. Turner, Annika Marie Schoene, 2020, AffCon@AAAI.

Two alternative frameworks for deploying spoken dialogue systems to mobile platforms for evaluation “in the wild”

Oliver Lemon, Nina Dethlefs, Helen Hastie, 2014 .

MACHINE LEARNING FOR INTERACTIVE SYSTEMS: BRIDGING THE GAP BETWEEN LANGUAGE, MOTOR CONTROL AND VISION (MLIS-2012)

Nina Dethlefs, Heriberto Cuayáhuitl, Lutz Frommberger, 2012 .

Information density and overlap in spoken dialogue

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2016, Comput. Speech Lang..

The PARLANCE mobile application for interactive search in English and Mandarin

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2014, SIGDIAL Conference.

Reports of the AAAI 2014 Conference Workshops

Guy Van den Broeck, André da Motta Salles Barreto, Jenna Wiens, 2015, AI Mag..

Context-Sensitive Natural Language Generation: From Knowledge-Driven to Data-Driven Techniques

Nina Dethlefs, Nina Dethlefs, 2014, Lang. Linguistics Compass.

Spatially-aware dialogue control using hierarchical reinforcement learning

Nina Dethlefs, Heriberto Cuayáhuitl, 2011, TSLP.

Incremental Spoken Dialogue Systems: Tools and Data

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2012, SDCTD@NAACL-HLT.

Hierarchical Dialogue Policy Learning using Flexible State Transitions and Linear Function Approximation

Nina Dethlefs, Ivana Kruijff-Korbayová, Heriberto Cuayáhuitl, 2012, COLING.

Dialogue Systems Using Online Learning: Beyond Empirical Methods

Nina Dethlefs, Heriberto Cuayáhuitl, 2012, SDCTD@NAACL-HLT.

Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI

Nina Dethlefs, Joyjit Chatterjee, 2020 .

Combining Hierarchical Reinforcement Learning and Bayesian Networks for Natural Language Generation in Situated Dialogue

Nina Dethlefs, Heriberto Cuayáhuitl, H. Cuayáhuitl, 2011, ENLG.

Getting to Know Users: Accounting for the Variability in User Ratings

Oliver Lemon, Nina Dethlefs, Helen Hastie, 2014 .

XAI4Wind: A Multimodal Knowledge Graph Database for Explainable Decision Support in Operations & Maintenance of Wind Turbines pdf

Nina Dethlefs, Joyjit Chatterjee, Nina Dethlefs, 2020, ArXiv.

Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action and Communication

Nina Dethlefs, Lutz Frommberger, Martijn van Otterlo, 2013 .

Hierarchical Reinforcement Learning for Adaptive Text Generation

Nina Dethlefs, Heriberto Cuayáhuitl, H. Cuayáhuitl, 2010, INLG.

Evaluating Task Success in a Dialogue System for Indoor Navigation

Nina Dethlefs, Kai-Florian Richter, John A. Bateman, 2010 .

Proceedings of The 4th Workshop on Machine Learning for Interactive Systems

Nina Dethlefs, Olivier Pietquin, Heriberto Cuayáhuitl, 2015 .

Hierarchical Multiagent Reinforcement Learning for Coordinating Verbal and Non-verbal Actions in Robots

Nina Dethlefs, Heriberto Cuay, 2012 .

Machine learning for interactive systems and robots: a brief introduction

Nina Dethlefs, Heriberto Cuayáhuitl, Lutz Frommberger, 2013, MLIS '13.

Optimizing Situated Dialogue Management in Unknown Environments

Nina Dethlefs, Heriberto Cuayáhuitl, 2011, INTERSPEECH.

Demonstration of the PARLANCE system: a data-driven incremental, spoken dialogue system for interactive search

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2013, SIGDIAL Conference.

Hierarchical joint learning for natural language generation

Nina Dethlefs, Nina Dethlefs, 2013, DISKI.

Nonstrict Hierarchical Reinforcement Learning for Interactive Systems and Robots

Nina Dethlefs, Ivana Kruijff-Korbayová, Heriberto Cuayáhuitl, 2014, TIIS.

A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines

Nina Dethlefs, Joyjit Chatterjee, Nina Dethlefs, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Extrinsic Versus Intrinsic Evaluation of Natural Language Generation for Spoken Dialogue Systems and Social Robotics

Helen F. Hastie, Nina Dethlefs, Heriberto Cuayáhuitl, 2016, IWSDS.

Modularity Within Artificial Gene Regulatory Networks

Nina Dethlefs, Alexander P. Turner, Annika Marie Schoene, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

Hierarchical reinforcement learning for situated natural language generation

Nina Dethlefs, Heriberto Cuayáhuitl, H. Cuayáhuitl, 2014, Natural Language Engineering.

Generating Adaptive Route Instructions Using Hierarchical Reinforcement Learning

Nina Dethlefs, Kai-Florian Richter, Heriberto Cuayáhuitl, 2010, Spatial Cognition.

Optimising Incremental Dialogue Decisions Using Information Density for Interactive Systems

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2012, EMNLP-CoNLL.

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

Nina Dethlefs, Heriberto Cuayáhuitl, Lutz Frommberger, 2013, MLIS@IJCAI.

Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines

Nina Dethlefs, Joyjit Chatterjee, 2020 .

Optimising Incremental Generation for Spoken Dialogue Systems: Reducing the Need for Fillers

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2012, INLG.

Training a statistical surface realiser from automatic slot labelling

Helen F. Hastie, Nina Dethlefs, Heriberto Cuayáhuitl, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

Towards optimising modality allocation for multimodal output generation in incremental dialogue

Oliver Lemon, Nina Dethlefs, Helen Hastie, 2012 .

Author response for "Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines"

Nina Dethlefs, Joyjit Chatterjee, 2019 .

Deep Text Generation - Using Hierarchical Decomposition to Mitigate the Effect of Rare Data Points

Nina Dethlefs, Alexander P. Turner, Nina Dethlefs, 2017, LDK.

The Bremen System for the GIVE-2.5 Challenge

Nina Dethlefs, 2011, ENLG.

Automatic Identification of Suicide Notes from Linguistic and Sentiment Features

Nina Dethlefs, Annika Marie Schoene, Nina Dethlefs, 2016, LaTeCH@ACL.

Deep reinforcement learning for maintenance planning of offshore vessel transfer

Nina Dethlefs, Joyjit Chatterjee, Nina Dethlefs, 2020 .

Introduction to the Special Issue on Machine Learning for Multiple Modalities in Interactive Systems and Robots

Nina Dethlefs, Antoine Raux, Heriberto Cuayáhuitl, 2014, TIIS.

Barge-in effects in Bayesian dialogue act recognition and simulation

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Evaluation of NLG in an end-to-end Spoken dialogue system- is it worth it?

Nina Dethlefs, Helen Hastie, Simon Keizer, 2016 .

Optimising Natural Language Generation Decision Making For Situated Dialogue

Nina Dethlefs, Heriberto Cuayáhuitl, Jette Viethen, 2011, SIGDIAL Conference.

Cluster-based Prediction of User Ratings for Stylistic Surface Realisation

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2014, EACL.

Generation of Adaptive Route Descriptions in Urban Environments

Nina Dethlefs, Stephan Winter, Yunhui Wu, 2011, Spatial Cogn. Comput..

Conditional Random Fields for Responsive Surface Realisation using Global Features

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2013, ACL.

A Semi-supervised Clustering Approach for Semantic Slot Labelling

Helen F. Hastie, Nina Dethlefs, Heriberto Cuayáhuitl, 2014, 2014 13th International Conference on Machine Learning and Applications.

A Deep Learning Approach Towards Prediction of Faults in Wind Turbines pdf

Nina Dethlefs, Joyjit Chatterjee, 2020, ArXiv.

Improving the Transparency of Deep Neural Networks using Artificial Epigenetic Molecules

Nina Dethlefs, Alexander P. Turner, Annika Marie Schoene, 2020, IJCCI.

Evolutionary Constraint in Artificial Gene Regulatory Networks

Nina Dethlefs, Alexander P. Turner, Annika Marie Schoene, 2018, UKCI.

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

Nina Dethlefs, Olivier Pietquin, Heriberto Cuayáhuitl, 2015, MLIS@ICML.

Impact of ASR N-Best Information on Bayesian Dialogue Act Recognition

Helen F. Hastie, Oliver Lemon, Nina Dethlefs, 2013, SIGDIAL Conference.

DEFIne: A Fluent Interface DSL for Deep Learning Applications

Nina Dethlefs, Kenneth A. Hawick, Nina Dethlefs, 2017, RWDSL@CGO.

A joint learning approach for situated language generation

Nina Dethlefs, Heriberto Cuayáhuitl, 2014, Natural Language Generation in Interactive Systems.

Comparing HMMs and Bayesian Networks for Surface Realisation

Nina Dethlefs, Heriberto Cuayáhuitl, 2012, HLT-NAACL.

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

Nina Dethlefs, Joyjit Chatterjee, Nina Dethlefs, 2021, Renewable and Sustainable Energy Reviews.

A divide-and-conquer approach to neural natural language generation from structured data

Nina Dethlefs, Heriberto Cuayáhuitl, Annika Marie Schoene, 2021, Neurocomputing.

Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes

Nina Dethlefs, Geeth de Mel, Alexander P. Turner, 2021, IEEE Transactions on Affective Computing.

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGdial 2021, Singapore and Online, July 29-31, 2021

Nina Dethlefs, David Vandyke, Gina-Anne Levow, 2021, SIGDIAL Conferences.

Natural Language Generation for Operations and Maintenance in Wind Turbines

Nina Dethlefs, Joyjit Chatterjee, 2019 .