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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 – 7 of 7 1 Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia Billot, Anne; Lai, Sha; Varkanitsa, Maria... In: Stroke (2022) BASE Show details 2 OpenFraming: open-sourced tool for computational framing analysis of multilingual data Sun, Yimeng; Tofu, David Assefa; Halim, Edward Edberg. - : Association for Computational Linguistics, 2021 BASE Show details 3 OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Akavoor, Vidya; Betke, Margrit. - : Underline Science Inc., 2021 BASE Show details 4 LAL: linguistically aware learning for scene text recognition Zheng, Yi; Qin, Wenda; Wijaya, Derry. - : ACM, 2020 BASE Show details 5 OpenFraming: we brought the ML; you bring the data. Interact with your data and discover its frames Smith, A.; Tofu, D.A.; Jalal, M.; Halim, E.E.; Sun, Y.; Akavoor, V.; Betke, Margrit; Ishwar, P.; Guo, L.; Wijaya, D.. - 2020 Abstract: When journalists cover a news story, they can cover the story from multiple angles or perspectives. A news article written about COVID-19 for example, might focus on personal preventative actions such as mask-wearing, while another might focus on COVID-19's impact on the economy. These perspectives are called "frames," which when used may influence public perception and opinion of the issue. We introduce a Web-based system for analyzing and classifying frames in text documents. Our goal is to make effective tools for automatic frame discovery and labeling based on topic modeling and deep learning widely accessible to researchers from a diverse array of disciplines. To this end, we provide both state-of-the-art pre-trained frame classification models on various issues as well as a user-friendly pipeline for training novel classification models on user-provided corpora. Researchers can submit their documents and obtain frames of the documents. The degree of user involvement is flexible: they can run models that have been pre-trained on select issues; submit labeled documents and train a new model for frame classification; or submit unlabeled documents and obtain potential frames of the documents. The code making up our system is also open-sourced and well-documented, making the system transparent and expandable. The system is available on-line at http://www.openframing.org and via our GitHub page https://github.com/davidatbu/openFraming . ; Published version URL: http://arxiv.org/abs/2008.06974v1 https://hdl.handle.net/2144/43213 BASE Hide details 6 Detecting frames in news headlines and its application to analyzing news framing trends surrounding U.S. gun violence Liu, Siyi; Guo, Lei; Mays, Kate. - : Association for Computational Linguistics, 2019 BASE Show details 7 Facial Feature Tracking and Occlusion Recovery in American Sign Language Betke, Margrit; Neidle, Carol; Castelli, Thomas J.. - : Boston University Computer Science Department, 2005 BASE Show details

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