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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 Page: 1 2 3 4 5...7 Hits 1 – 20 of 138 1 Matching Tweets With Applicable Fact-Checks Across Languages ... Kazemi, Ashkan; Li, Zehua; Pérez-Rosas, Verónica. - : arXiv, 2022 BASE Show details 2 Deep Learning for Text Style Transfer: A Survey ... Jin, Di; Jin, Zhijing; Hu, Zhiting. - : ETH Zurich, 2022 BASE Show details 3 Deep Learning for Text Style Transfer: A Survey Vechtomova, Olga; Jin, Zhijing; Hu, Zhiting... In: Computational Linguistics, 48 (1) (2022) BASE Show details 4 FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework ... Castro, Santiago; Wang, Ruoyao; Huang, Pingxuan; Stewart, Ian; Ignat, Oana; Liu, Nan; Stroud, Jonathan C.; Mihalcea, Rada. - : arXiv, 2021 Abstract: We propose fill-in-the-blanks as a video understanding evaluation framework and introduce FIBER -- a novel dataset consisting of 28,000 videos and descriptions in support of this evaluation framework. The fill-in-the-blanks setting tests a model's understanding of a video by requiring it to predict a masked noun phrase in the caption of the video, given the video and the surrounding text. The FIBER benchmark does not share the weaknesses of the current state-of-the-art language-informed video understanding tasks, namely: (1) video question answering using multiple-choice questions, where models perform relatively well because they exploit linguistic biases in the task formulation, thus making our framework challenging for the current state-of-the-art systems to solve; and (2) video captioning, which relies on an open-ended evaluation framework that is often inaccurate because system answers may be perceived as incorrect if they differ in form from the ground truth. The FIBER dataset and our code are ... : Accepted at ACL 2022 Main conference. Camera-ready version ... Keyword: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://arxiv.org/abs/2104.04182 https://dx.doi.org/10.48550/arxiv.2104.04182 BASE Hide details 5 Exploring Self-Identified Counseling Expertise in Online Support Forums ... Lahnala, Allison; Zhao, Yuntian; Welch, Charles. - : arXiv, 2021 BASE Show details 6 Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media ... Dong, MeiXing; Xu, Xueming; Zhang, Yiwei. - : arXiv, 2021 BASE Show details 7 Analyzing the Surprising Variability in Word Embedding Stability Across Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Burdick, Laura; Kummerfeld, Jonathan. - : Underline Science Inc., 2021 BASE Show details 8 STaCK: Sentence Ordering with Temporal Commonsense Knowledge ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ghosal, Deepanway; Majumder, Navonil. - : Underline Science Inc., 2021 BASE Show details 9 Hitting your MARQ: Multimodal ARgument Quality Assessment in Long Debate Video ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hasan, Masum; Hasan, Md Kamrul. - : Underline Science Inc., 2021 BASE Show details 10 How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact ... 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; Chauhan, Geeticka; Jin, Zhijing. - : Underline Science Inc., 2021 BASE Show details 11 Presidential Address ... 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; Mihalcea, Rada. - : Underline Science Inc., 2021 BASE Show details 12 Distinguished Service and Test-Of-Time Awards ... 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; Mihalcea, Rada. - : Underline Science Inc., 2021 BASE Show details 13 BUSINESS MEETING ... 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; Bender, Emily M.; Callison-Burch, Chris. - : Underline Science Inc., 2021 BASE Show details 14 Lifetime Award ... 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; Mihalcea, Rada. - : Underline Science Inc., 2021 BASE Show details 15 How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact ... Jin, Zhijing; Chauhan, Geeticka; Tse, Brian. - : ETH Zurich, 2021 BASE Show details 16 How Good Is NLP?A Sober Look at NLP Tasks through the Lens of Social Impact Tse, Brian; Jin, Zhijing; Mihalcea, Rada... In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 (2021) BASE Show details 17 Leveraging Longitudinal Data for Personalized Prediction and Word Representations Welch, Charles. - 2021 BASE Show details 18 Leveraging Social Media as a Thermometer to Gauge Patient and Caregiver Concerns: COVID-19 and Prostate Cancer Loeb, Stacy; Mihalcea, Rada; Perez-Rosas, Veronica... In: Eur Urol Open Sci (2021) BASE Show details 19 "Judge me by my size (noun), do you?'' YodaLib: A Demographic-Aware Humor Generation Framework ... Garimella, Aparna; Banea, Carmen; Hossain, Nabil. - : arXiv, 2020 BASE Show details 20 Deep Learning for Text Style Transfer: A Survey ... Jin, Di; Jin, Zhijing; Hu, Zhiting. - : arXiv, 2020 BASE Show details Page: 1 2 3 4 5...7

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