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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 – 4 of 4 1 CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ke, Zixuan; Liu, Bing; Shu, Lei; Xu, Hu. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.550/ Abstract: This paper studies continual learning (CL) of a sequence of aspect sentiment classification (ASC) tasks in a particular CL setting called domain incremental learning (DIL). Each task is from a different domain or product. The DIL setting is particularly suited to ASC because in testing the system needs not know the task/domain to which the test data belongs. To our knowledge, this setting has not been studied before for ASC. This paper proposes a novel model called CLASSIC. The key novelty is a contrastive continual learning method that enables both knowledge transfer across tasks and knowledge distillation from old tasks to the new task, which eliminates the need for task ids in testing. Experimental results show the high effectiveness of CLASSIC ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Sentiment Analysis URL: https://dx.doi.org/10.48448/w2pz-9v10 https://underline.io/lecture/37960-classic-continual-and-contrastive-learning-of-aspect-sentiment-classification-tasks BASE Hide details 2 VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Xu, Hu. - : Underline Science Inc., 2021 BASE Show details 3 VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding ... 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; Xu, Hu. - : Underline Science Inc., 2021 BASE Show details 4 The What and Why of Whole Number Arithmetic: Foundational Ideas from History, Language and Societal Changes Sun, Xu Hu; Chambris, Christine; Sayers, Judy... In: Mathematics and Statistics Faculty Publications and Presentations (2018) BASE Show details

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