Zobrazeno 1 - 10
of 246
pro vyhledávání: '"P Copestake"'
Autor:
Chester J. Sands, William P. Goodall-Copestake, Sabine Stöhr, Bhavani E. Narayanaswamy, Peter Convey, Timothy D. O’Hara, Rafael Martín-Ledo
Publikováno v:
Frontiers in Ecology and Evolution, Vol 12 (2024)
Accurate knowledge of geographic ranges of species is essential for effective conservation management. Species with large distributions and good connectivity are presumed to be resilient to adverse localized/regional conditions, whereas those with sm
Externí odkaz:
https://doaj.org/article/cfaa11826126473fa42f64b245fa5751
Autor:
Chester J. Sands, William P. Goodall-Copestake, Sabine Stöhr, Bhavani E. Narayanaswamy, Peter Convey
Publikováno v:
Frontiers in Ecology and Evolution, Vol 12 (2024)
The Southern Ocean benthos is remarkably rich and diverse, and managed under a complexity of treaties and conventions, further complicated by geopolitical boundaries. Traditionally, conservation management is largely informed by species lists augment
Externí odkaz:
https://doaj.org/article/08da0800bfc34d79924ea7577168ca6d
Autor:
Verő, Anita L., Copestake, Ann
Multi-modal word semantics aims to enhance embeddings with perceptual input, assuming that human meaning representation is grounded in sensory experience. Most research focuses on evaluation involving direct visual input, however, visual grounding ca
Externí odkaz:
http://arxiv.org/abs/2110.02577
Human conversations naturally evolve around different topics and fluently move between them. In research on dialog systems, the ability to actively and smoothly transition to new topics is often ignored. In this paper we introduce TIAGE, a new topic-
Externí odkaz:
http://arxiv.org/abs/2109.04562
Autor:
S. P. Hesselbo, A. Al-Suwaidi, S. J. Baker, G. Ballabio, C. M. Belcher, A. Bond, I. Boomer, R. Bos, C. J. Bjerrum, K. Bogus, R. Boyle, J. V. Browning, A. R. Butcher, D. J. Condon, P. Copestake, S. Daines, C. Dalby, M. Damaschke, S. E. Damborenea, J.-F. Deconinck, A. J. Dickson, I. M. Fendley, C. P. Fox, A. Fraguas, J. Frieling, T. A. Gibson, T. He, K. Hickey, L. A. Hinnov, T. P. Hollaar, C. Huang, A. J. L. Hudson, H. C. Jenkyns, E. Idiz, M. Jiang, W. Krijgsman, C. Korte, M. J. Leng, T. M. Lenton, K. Leu, C. T. S. Little, C. MacNiocaill, M. O. Manceñido, T. A. Mather, E. Mattioli, K. G. Miller, R. J. Newton, K. N. Page, J. Pálfy, G. Pieńkowski, R. J. Porter, S. W. Poulton, A. C. Riccardi, J. B. Riding, A. Roper, M. Ruhl, R. L. Silva, M. S. Storm, G. Suan, D. Szűcs, N. Thibault, A. Uchman, J. N. Stanley, C. V. Ullmann, B. van de Schootbrugge, M. L. Vickers, S. Wadas, J. H. Whiteside, P. B. Wignall, T. Wonik, W. Xu, C. Zeeden, K. Zhao
Publikováno v:
Scientific Drilling, Vol 32, Pp 1-25 (2023)
Drilling for the International Continental Scientific Drilling Program (ICDP) Early Jurassic Earth System and Timescale project (JET) was undertaken between October 2020 and January 2021. The drill site is situated in a small-scale synformal basin of
Externí odkaz:
https://doaj.org/article/386f8e264e1941c08a66114c810fd5ef
We propose a novel morphologically aware probability model for bilingual lexicon induction, which jointly models lexeme translation and inflectional morphology in a structured way. Our model exploits the basic linguistic intuition that the lexeme is
Externí odkaz:
http://arxiv.org/abs/2011.07593
Image captioning as a multimodal task has drawn much interest in recent years. However, evaluation for this task remains a challenging problem. Existing evaluation metrics focus on surface similarity between a candidate caption and a set of reference
Externí odkaz:
http://arxiv.org/abs/1912.08960
Human translators routinely have to translate rare inflections of words - due to the Zipfian distribution of words in a language. When translating from Spanish, a good translator would have no problem identifying the proper translation of a statistic
Externí odkaz:
http://arxiv.org/abs/1909.02855
Autor:
Kuhnle, Alexander, Copestake, Ann
Visual question answering (VQA) comprises a variety of language capabilities. The diagnostic benchmark dataset CLEVR has fueled progress by helping to better assess and distinguish models in basic abilities like counting, comparing and spatial reason
Externí odkaz:
http://arxiv.org/abs/1908.06336
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