Dimitra Gkatzia

Orcid: 0000-0001-8568-7806

According to our database1, Dimitra Gkatzia authored at least 36 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Working with troubles and failures in conversation between humans and robots: workshop report.
Frontiers Robotics AI, February, 2023

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP.
CoRR, 2023

Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic).
Proceedings of the 16th International Natural Language Generation Conference, 2023

LOWRECORP: the Low-Resource NLG Corpus Building Challenge.
Proceedings of the 16th International Natural Language Generation Conference, 2023

2022
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR, 2022

You Are What You Write: Preserving Privacy in the Era of Large Language Models.
CoRR, 2022

Multi3Generation: Multitask, Multilingual, Multimodal Language Generation.
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

Task2Dial: A Novel Task and Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021
Generating unambiguous and diverse referring expressions.
Comput. Speech Lang., 2021

Chefbot: A Novel Framework for the Generation of Commonsense-enhanced Responses for Task-based Dialogue Systems.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

Underreporting of errors in NLG output, and what to do about it.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

The Task2Dial Dataset: A Novel Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents.
Proceedings of the 4th International Conference on Natural Language and Speech Processing, 2021

"What's this?" Comparing Active learning Strategies for Concept Acquisition in HRI.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

CAPE: Context-Aware Private Embeddings for Private Language Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Monitoring Users' Behavior: Anti-Immigration Speech Detection on Twitter.
Mach. Learn. Knowl. Extr., 2020

Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions.
Proceedings of the 13th International Conference on Natural Language Generation, 2020

Second Workshop on Natural Language Generation for Human-Robot Interaction.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

2017
Data-to-Text Generation Improves Decision-Making Under Uncertainty.
IEEE Comput. Intell. Mag., 2017

Improving the Naturalness and Expressivity of Language Generation for Spanish.
Proceedings of the 10th International Conference on Natural Language Generation, 2017

Inflection Generation for Spanish Verbs using Supervised Learning.
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

2016
Content Selection in Data-to-Text Systems: A Survey.
CoRR, 2016

The REAL Corpus: A Crowd-Sourced Corpus of Human Generated and Evaluated Spatial References to Real-World Urban Scenes.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

How to talk to strangers: Generating medical reports for first-time users.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Natural Language Generation enhances human decision-making with uncertain information.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Data-driven approaches to content selection for data-to-text generation.
PhD thesis, 2015

An Ensemble method for Content Selection for Data-to-text Systems.
CoRR, 2015

Exploratory Navigation for Runners Through Geographic Area Classification with Crowd-Sourced Data.
Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2015

A Snapshot of NLG Evaluation Practices 2005 - 2014.
Proceedings of the ENLG 2015, 2015

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation.
Proceedings of the ENLG 2015, 2015

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments.
Proceedings of the ENLG 2015, 2015

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Multi-adaptive Natural Language Generation using Principal Component Regression.
Proceedings of the INLG 2014, 2014

Finding middle ground? Multi-objective Natural Language Generation from time-series data.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Generating Student Feedback from Time-Series Data Using Reinforcement Learning.
Proceedings of the ENLG 2013, 2013


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