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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 15 of 15 1 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bansal, Mohit; Chang, Shih-Fu. - : Underline Science Inc., 2021 BASE Show details 2 Coreference by Appearance: Visually Grounded Event Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chang, Shih-Fu; Feng, Shengyu; Ji, Heng; Li, Manling; Lin, Xudong; Wang, Liming. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.crac-1.14.pdf Abstract: Event coreference resolution is critical to understand events in the growing number of online news with multiple modalities including text, video, speech, etc. However, the events and entities depicting in different modalities may not be perfectly aligned and can be difficult to annotate, which makes the task especially challenging with little supervision available. To address the above issues, we propose a supervised model based on attention mechanism and an unsupervised model based on statistical machine translation, capable of learning the relative importance of modalities for event coreference resolution. Experiments on a video multimedia event dataset show that our multimodal models outperform text-only systems in event coreference resolution tasks. A careful analysis reveals that the performance gain of the multimodal model especially under unsupervised settings comes from better learning of visually salient events. ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/39782-coreference-by-appearance-visually-grounded-event-coreference-resolution https://dx.doi.org/10.48448/0ryx-3m23 BASE Hide details 3 Analogical Reasoning for Visually Grounded Language Acquisition ... Wu, Bo; Qin, Haoyu; Zareian, Alireza. - : arXiv, 2020 BASE Show details 4 Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding ... Chen, Long; Ma, Wenbo; Xiao, Jun. - : arXiv, 2020 BASE Show details 5 COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation ... Wang, Qingyun; Li, Manling; Wang, Xuan. - : arXiv, 2020 BASE Show details 6 Learning to Learn Words from Visual Scenes ... Surís, Dídac; Epstein, Dave; Ji, Heng. - : arXiv, 2019 BASE Show details 7 More cat than cute? Interpretable Prediction of Adjective-Noun Pairs ... Fernandez, Delia; Woodward, Alejandro; Campos, Victor. - : arXiv, 2017 BASE Show details 8 Multilingual visual sentiment concept clustering and analysis Pappas, Nikolaos; Redi, Miriam; Topkara, Mercan... In: http://infoscience.epfl.ch/record/225951 (2017) BASE Show details 9 Multilingual Visual Sentiment Concept Matching ... Pappas, Nikolaos; Redi, Miriam; Topkara, Mercan. - : arXiv, 2016 BASE Show details 10 Columbia MVSO Image Sentiment Dataset ... Dalmia, Vaidehi; Liu, Hongyi; Chang, Shih-Fu. - : arXiv, 2016 BASE Show details 11 Going Deeper for Multilingual Visual Sentiment Detection ... Jou, Brendan; Chang, Shih-Fu. - : arXiv, 2016 BASE Show details 12 Multilingual Visual Sentiment Concept Matching Pappas, Nikolaos; Topkara, Mercan; Redi, Miriam... In: http://infoscience.epfl.ch/record/218119 (2016) BASE Show details 13 Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology ... Jou, Brendan; Chen, Tao; Pappas, Nikolaos. - : arXiv, 2015 BASE Show details 14 Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology Jou, Brendan; Chen, Tao; Pappas, Nikolaos... In: http://infoscience.epfl.ch/record/210628 (2015) BASE Show details 15 DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks ... Chen, Tao; Borth, Damian; Darrell, Trevor. - : arXiv, 2014 BASE Show details

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