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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 – 17 of 17 1 Enhancing Descriptive Image Captioning with Natural Language Inference ... 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; liu, hui; Shi, Zhan; Zhu, Xiaodan. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-short.36 Abstract: Generating \textit{descriptive} sentences that convey non-trivial, detailed, and salient information about images is an important goal of image captioning. In this paper we propose a novel approach to encourage captioning models to produce more detailed captions using natural language inference, based on the motivation that, among different captions of an image, descriptive captions are more likely to entail less descriptive captions. Specifically, we construct directed inference graphs for reference captions based on natural language inference. A PageRank algorithm is then employed to estimate the descriptiveness score of each node. Built on that, we use reference sampling and weighted designated rewards to guide captioning to generate descriptive captions. The results on MSCOCO show that the proposed method outperforms the baselines significantly on a wide range of conventional and descriptiveness-related evaluation metrics. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/26017-enhancing-descriptive-image-captioning-with-natural-language-inference https://dx.doi.org/10.48448/txr6-qt98 BASE Hide details 2 Detecting Speaker Personas from Conversational Texts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Zhigang; Gu, Jia-Chen. - : Underline Science Inc., 2021 BASE Show details 3 Unsupervised Conversation Disentanglement through Co-Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; liu, hui; Shi, Zhan. - : Underline Science Inc., 2021 BASE Show details 4 Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking ... 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; Dai, Yinpei; Huang, Fei. - : Underline Science Inc., 2021 BASE Show details 5 SemEval-2021 Task 12: Learning with Disagreements Uma, Alexandra; Fornaciari, Tommaso; Dumitrache, Anca. - : Association for Computational Linguistics, 2021 BASE Show details 6 Exploring End-to-End Differentiable Natural Logic Modeling ... The 28th International Conference on Computational Linguistics 2020; Feng, Yufei; Greenspan, Michael. - : Underline Science Inc., 2020 BASE Show details 7 SemEval-2020 Task 5: Counterfactual Recognition ... The 28th International Conference on Computational Linguistics 2020; Matwin, Stan; Obadinma, Stephen. - : Underline Science Inc., 2020 BASE Show details 8 SemEval-2020 Task 2: Predicting multilingual and cross-lingual (graded) lexical entailment Glavaš, Goran; Vulić, Ivan; Korhonen, Anna. - : Association for Computational Linguistics, 2020 BASE Show details 9 Knowledge graph and semantic computing : knowledge computing and language understanding : 4th China Conference, CCKS 2019, Hangzhou, China, August 24-27, 2019 : revised selected papers Zhu, Xiaoyan (Herausgeber); Qin, Bing (Herausgeber); Qian, LongHua (Herausgeber). - Singapore : Springer, 2019 BLLDB UB Frankfurt Linguistik Show details 10 Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge ... Ruan, Yu-Ping; Zhu, Xiaodan; Ling, Zhen-Hua. - : arXiv, 2019 BASE Show details 11 Learning Cross-modal Context Graph for Visual Grounding ... Liu, Yongfei; Wan, Bo; Zhu, Xiaodan. - : arXiv, 2019 BASE Show details 12 Logographic Subword Model for Neural Machine Translation ... Fang, Yihao; Zheng, Rong; Zhu, Xiaodan. - : arXiv, 2018 BASE Show details 13 Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge ... Liu, Quan; Jiang, Hui; Ling, Zhen-Hua. - : arXiv, 2016 BASE Show details 14 NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets ... Mohammad, Saif M.; Kiritchenko, Svetlana; Zhu, Xiaodan. - : arXiv, 2013 BASE Show details 15 Summarizing Spoken Documents Through Utterance Selection Zhu, Xiaodan. - 2010 BASE Show details 16 Analysis of Polarity Information in Medical Text Niu, Yun; Zhu, Xiaodan; Li, Jianhua. - : American Medical Informatics Association, 2005 BASE Show details 17 Summarizing Spoken Documents Through Utterance Selection Zhu, Xiaodan. - NO_RESTRICTION BASE Show details

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