The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes

Conference Proceeding

Bartie, P., Mackaness, W., Gkatzia, D., & Rieser, V. (2016)

The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes. In 10th International Conference on Language Resources and Evaluation (LREC)

We present a newly crowd-sourced data set of natural language references to objects anchored in complex urban scenes (In short: The REAL Corpus – Referring Expressions Anchore...

How to Talk to Strangers: generating medical reports for first time users

Conference Proceeding

Gkatzia, D., Rieser, V., & Lemon, O. (2016)

How to Talk to Strangers: generating medical reports for first time users. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)https://doi.org/10.1109/FUZZ-IEEE.2016.7737739

We propose a novel approach for handling first-time users in the context of automatic report generation from timeseries data in the health domain. Handling first-time users is...

Natural Language Generation enhances human decision-making with uncertain information.

Conference Proceeding

Gkatzia, D., Lemon, O., & Rieser, V. (2016)

Natural Language Generation enhances human decision-making with uncertain information. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, (264-268). https://doi.org/10.18653/v1/P16-2043

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentati...

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes

Conference Proceeding

Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015)

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1936-1942. https://doi.org/10.18653/v1/d15-1224

Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring...

A Snapshot of NLG Evaluation Practices 2005 - 2014

Conference Proceeding

Gkatzia, D., & Mahamood, S. (2015)

A Snapshot of NLG Evaluation Practices 2005 - 2014. https://doi.org/10.18653/v1/w15-4708

In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand th...

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments

Conference Proceeding

Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015)

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. In Proceedings of the 15th European Workshop on Natural Language Generation, 90-94. https://doi.org/10.18653/v1/w15-4715

Referring to landmarks has been identified to lead to improved navigation instructions. However, a previous corpus study suggests that human “wizards” also choose to refer to ...

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation

Conference Proceeding

Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015)

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. In Proceedings of the 15th European Workshop on Natural Language Generation, 112-113. https://doi.org/10.18653/v1/w15-4720

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores, such as probabilities. A concrete example of such data is weather data. We w...

Exploratory Navigation for Runners Through Geographic Area Classification with Crowd-Sourced Data

Conference Proceeding

McGookin, D., Gkatzia, D., & Hastie, H. (2015)

Exploratory Navigation for Runners Through Geographic Area Classification with Crowd-Sourced Data. In Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, (357-361). https://doi.org/10.1145/2785830.2785879

Navigation when running is exploratory, characterised by both starting and ending in the same location, and iteratively foraging the environment to find areas with the most su...

Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data

Conference Proceeding

Gkatzia, D., Hastie, H., & Lemon, O. (2014)

Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers. , (1231-1240). https://doi.org/10.3115/v1/p14-1116

We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selec...

Finding middle ground? Multi-objective Natural Language Generation from time-series data

Conference Proceeding

Gkatzia, D., Hastie, H., & Lemon, O. (2014)

Finding middle ground? Multi-objective Natural Language Generation from time-series data. In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papersdoi:10.3115/v1/e14-4041

A Natural Language Generation (NLG) system is able to generate text from nonlinguistic data, ideally personalising the content to a user’s specific needs. In some cases, howev...