13 results

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...

Dimensional analysis based causal ordering

Conference Proceeding
Shen, Q., Peng, T., & Milne, R. (1998)
Dimensional analysis based causal ordering. In Proceedings of the 13th International Workshop on Qualitative Reasoning, 193-202
This paper presents a novel approach for generating causal dependencies between system variables, from an acausal description of the system behaviour, and for identifying the ...

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...

VANET aided D2D Discovery: Delay Analysis and Performance

Journal Article
Chour, H., Nasser, Y., Artail, H., Kachouh, A., & Al-Dubai, A. (2017)
VANET aided D2D Discovery: Delay Analysis and Performance. IEEE Transactions on Vehicular Technology, 66(9), 8059-8071. https://doi.org/10.1109/TVT.2017.2690238
The proposed solutions in the literature for integrating Device-to-Device (D2D) communication in cellular networks require added functionalities and consume valuable network r...

A discrete formalism for reasoning about action and change

Conference Proceeding
Knight, B., Ma, J., & Peng, T. (1996)
A discrete formalism for reasoning about action and change. In R. Adey, G. Rzevski, & R. Teti (Eds.), Applications of artificial intelligence in engineering XIIdoi:10.2495/AI970101
No abstract available.

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...

Cross-modality interactive attention network for multispectral pedestrian detection

Journal Article
Zhang, L., Liu, Z., Zhang, S., Yang, X., Qiao, H., Huang, K., & Hussain, A. (2019)
Cross-modality interactive attention network for multispectral pedestrian detection. Information Fusion, 50, 20-29. https://doi.org/10.1016/j.inffus.2018.09.015
Multispectral pedestrian detection is an emerging solution with great promise in many around-the-clock applications, such as automotive driving and security surveillance. To e...

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...

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...

Tracking, Analysis and Measurement of Pedestrian Trajectories

Thesis
Clayton, S. E. (2016)
Tracking, Analysis and Measurement of Pedestrian Trajectories. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/452997
Pedestrian movement is unconstrained. For this reason it is not amenable to mathematical modelling in the same way as road traffic. Individual pedestrians are notoriously diff...