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Anchoring and Agreement in Syntactic Annotations.

, , , , and . EMNLP, page 2215-2224. The Association for Computational Linguistics, (2016)

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Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset., , , , and . Interspeech, page 3650-3654. ISCA, (2021)Modeling Visual Impairments with Artificial Neural Networks: a Review., , , , , , , and . ICCV (Workshops), page 1979-1991. IEEE, (2023)The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank., , , , , , , , , and . EMNLP, page 9531-9539. Association for Computational Linguistics, (2022)Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions., , , , , , , , , and 5 other author(s). ECCV (5), volume 8693 of Lecture Notes in Computer Science, page 612-627. Springer, (2014)Simultaneous Object Detection, Tracking, and Event Recognition, , , and . CoRR, (2012)Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context., , , , and . CoRR, (2018)Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context., , , , and . IJCAI, page 4506-4514. ijcai.org, (2017)Bias and Agreement in Syntactic Annotations., , , , and . CoRR, (2016)Compositional Networks Enable Systematic Generalization for Grounded Language Understanding., , and . CoRR, (2020)A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video., , , and . J. Artif. Intell. Res., (2015)