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Ann A. Copestake
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Publications
- 2019
- [c37]Alexander Kuhnle, Ann A. Copestake:
The Meaning of "Most" for Visual Question Answering Models. BlackboxNLP@ACL 2019: 46-55 - [i11]Alexander Kuhnle, Ann A. Copestake:
What is needed for simple spatial language capabilities in VQA? ViGIL@NeurIPS 2019 - [i10]Alexander Kuhnle, Ann A. Copestake:
What is needed for simple spatial language capabilities in VQA? CoRR abs/1908.06336 (2019) - [i8]Huiyuan Xie, Tom Sherborne, Alexander Kuhnle, Ann A. Copestake:
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity. CoRR abs/1912.08960 (2019) - 2018
- [c34]Alexander Kuhnle, Huiyuan Xie, Ann A. Copestake:
How Clever Is the FiLM Model, and How Clever Can it Be? ECCV Workshops (4) 2018: 162-172 - [i7]Alexander Kuhnle, Huiyuan Xie, Ann A. Copestake:
How clever is the FiLM model, and how clever can it be? CoRR abs/1809.03044 (2018) - [i6]Alexander Kuhnle, Ann A. Copestake:
The meaning of "most" for visual question answering models. CoRR abs/1812.11737 (2018) - 2017
- [i5]Alexander Kuhnle, Ann A. Copestake:
ShapeWorld - A new test methodology for multimodal language understanding. CoRR abs/1704.04517 (2017) - [i4]Alexander Kuhnle, Ann A. Copestake:
Deep learning evaluation using deep linguistic processing. CoRR abs/1706.01322 (2017) - 2016
- [c31]Ann A. Copestake, Guy Emerson, Michael Wayne Goodman, Matic Horvat, Alexander Kuhnle, Ewa Muszynska:
Resources for building applications with Dependency Minimal Recursion Semantics. LREC 2016
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