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Nikolai Ilinykh
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The 2020 bilingual, bi-directional webnlg+ shared task overview and evaluation results (webnlg+ 2020)
TC Ferreira, C Gardent, N Ilinykh, C Van Der Lee, S Mille, D Moussallem, ...
Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020
1132020
Meetup! a corpus of joint activity dialogues in a visual environment
N Ilinykh, S Zarrieß, D Schlangen
arXiv preprint arXiv:1907.05084, 2019
372019
Tell me more: A dataset of visual scene description sequences
N Ilinykh, S Zarrieß, D Schlangen
Proceedings of the 12th international conference on natural language …, 2019
242019
Attention as grounding: Exploring textual and cross-modal attention on entities and relations in language-and-vision transformer
N Ilinykh, S Dobnik
Findings of the Association for Computational Linguistics: ACL 2022, 4062-4073, 2022
162022
When an image tells a story: The role of visual and semantic information for generating paragraph descriptions
N Ilinykh, S Dobnik
Proceedings of the 13th International Conference on Natural Language …, 2020
152020
slurk–a lightweight interaction server for dialogue experiments and data collection
D Schlangen, T Diekmann, N Ilinykh, S Zarrieß
Proceedings of the 22nd Workshop on the Semantics and Pragmatics of Dialogue …, 2018
112018
The task matters: Comparing image captioning and task-based dialogical image description
N Ilinykh, S Zarrieß, D Schlangen
Proceedings of the 11th International Conference on Natural Language …, 2018
82018
Look and answer the question: On the role of vision in embodied question answering
N Ilinykh, Y Emampoor, S Dobnik
Proceedings of the 15th International Conference on Natural Language …, 2022
62022
How Vision Affects Language: Comparing Masked Self-Attention in Uni-Modal and Multi-Modal Transformer
N Ilinykh, S Dobnik
Proceedings of the 1st Workshop on Multimodal Semantic Representations (MMSR …, 2021
62021
What does a language-and-vision transformer see: The impact of semantic information on visual representations
N Ilinykh, S Dobnik
Frontiers in Artificial Intelligence 4, 767971, 2021
52021
A general benchmarking framework for text generation
D Moussallem, P Kaur, T Ferreira, C van der Lee, A Shimorina, F Conrads, ...
International Workshop on Natural Language Generation from the Semantic Web 2020, 2020
52020
What to refer to and when? reference and re-reference in two language-and-vision tasks
S Dobnik, N Ilinykh, A Karimi
Proceedings of the 26th Workshop on the Semantics and Pragmatics of Dialogue …, 2022
32022
Do decoding algorithms capture discourse structure in multi-modal tasks? A case study of image paragraph generation
N Ilinykh, S Dobnik
Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation …, 2022
22022
In search of meaning and its representations for computational linguistics
S Dobnik, R Cooper, A Ek, B Noble, S Larsson, N Ilinykh, V Maraev, ...
Proceedings of the 2022 CLASP Conference on (Dis) embodiment, 30-44, 2022
22022
Meetup! a task for modelling visual dialogue
D Schlangen, N Ilinykh, S Zarrieß
Short Paper Proceedings of the 22nd Workshop on the Semantics and Pragmatics …, 2018
22018
Describe me an Aucklet: Generating Grounded Perceptual Category Descriptions
B Noble, N Ilinykh
arXiv preprint arXiv:2303.04053, 2023
12023
Proceedings of the 2023 CLASP Conference on Learning with Small Data
E Breitholtz, S Lappin, S Loáiciga, N Ilinykh, S Dobnik
The Association for Computational Linguistics, 2023
2023
Context matters: evaluation of target and context features on variation of object naming
N Ilinykh, S Dobnik
Proceedings of the 1st Workshop on Linguistic Insights from and for …, 2023
2023
The VDG Challenge: Response Generation and Evaluation in Collaborative Visual Dialogue
N Ilinykh, S Dobnik
Proceedings of the 16th International Natural Language Generation Conference …, 2023
2023
Are Language-and-Vision Transformers Sensitive to Discourse? A Case Study of ViLBERT
E Voloshina, N Ilinykh, S Dobnik
Proceedings of the Workshop on Multimodal, Multilingual Natural Language …, 2023
2023
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