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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 Hits 1 – 20 of 38 1 Dual-Decoder Transformer For end-to-end Mandarin Chinese Speech Recognition with Pinyin and Character ... Yang, Zhao; Xi, Wei; Wang, Rui. - : arXiv, 2022 BASE Show details 2 Fine-Scale Population Admixture Landscape of Tai–Kadai-Speaking Maonan in Southwest China Inferred From Genome-Wide SNP Data Chen, Jing; He, Guanglin; Ren, Zheng... In: Front Genet (2022) BASE Show details 3 Observation of new excited ${B} ^0_{s} $ states Aaij, Roel; Abellán Beteta, Carlos; Ackernley, Thomas... In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. &#x27E8;10.1140/epjc/s10052-021-09305-3&#x27E9; (2021) BASE Show details 4 Cross Modification Attention Based Deliberation Model for Image Captioning ... Lian, Zheng; Zhang, Yanan; Li, Haichang. - : arXiv, 2021 BASE Show details 5 Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN—concept, framework and case studies [<Journal>] Qin, Jian Verfasser] DNB Subject Category Language Show details 6 Language policy : a systemic functional linguistic approach Yang, Bingjun; Wang, Rui. - New York : Routledge, 2020 BLLDB UB Frankfurt Linguistik Show details 7 Observation of new excited ${B} ^0_{s} $ states Aaij, Roel; Abellán Beteta, Carlos; Ackernley, Thomas. - 2020 BASE Show details 8 Explicit Reordering for Neural Machine Translation ... Chen, Kehai; Wang, Rui; Utiyama, Masao. - : arXiv, 2020 BASE Show details 9 Syntax-aware Data Augmentation for Neural Machine Translation ... Duan, Sufeng; Zhao, Hai; Zhang, Dongdong. - : arXiv, 2020 BASE Show details 10 Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation ... Sun, Haipeng; Wang, Rui; Chen, Kehai. - : arXiv, 2020 BASE Show details 11 SG-Net: Syntax Guided Transformer for Language Representation ... Zhang, Zhuosheng; Wu, Yuwei; Zhou, Junru. - : arXiv, 2020 BASE Show details 12 Neural topic modeling with bidirectional adversarial training Wang, Rui; Hu, Xuemeng; Zhou, Deyu. - : Association for Computational Linguistics (ACL), 2020 BASE Show details 13 Measurement of $W^{\pm}$-boson and $Z$-boson production cross-sections in $pp$ collisions at $\sqrt{s}=2.76$ TeV with the ATLAS detector Aad, Georges; Abbott, Brad; Abbott, Dale Charles. - 2019 BASE Show details 14 BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization ... Wang, Kai; Quan, Xiaojun; Wang, Rui. - : arXiv, 2019 BASE Show details 15 SG-Net: Syntax-Guided Machine Reading Comprehension ... Zhang, Zhuosheng; Wu, Yuwei; Zhou, Junru. - : arXiv, 2019 BASE Show details 16 Towards a Discipline of Multimodality: Parallels to Mathematics and Linguistics and New Ways Forward Lange, Rebecca; Chai, Kevin; Wignell, Peter. - 2019 BASE Show details 17 Open event extraction from online text using a generative adversarial network He, Yulan; Wang, Rui; Zhou, Deyu. - : Association for Computational Linguistics, 2019 Abstract: To extract the structured representations of open-domain events, Bayesian graphical models have made some progress. However, these approaches typically assume that all words in a document are generated from a single event. While this may be true for short text such as tweets, such an assumption does not generally hold for long text such as news articles. Moreover, Bayesian graphical models often rely on Gibbs sampling for parameter inference which may take long time to converge. To address these limitations, we propose an event extraction model based on Generative Adversarial Nets, called Adversarial-neural Event Model (AEM). AEM models an event with a Dirichlet prior and uses a generator network to capture the patterns underlying latent events. A discriminator is used to distinguish documents reconstructed from the latent events and the original documents. A byproduct of the discriminator is that the features generated by the learned discriminator network allow the visualization of the extracted events. Our model has been evaluated on two Twitter datasets and a news article dataset. Experimental results show that our model outperforms the baseline approaches on all the datasets, with more significant improvements observed on the news article dataset where an increase of 15\% is observed in F-measure. Keyword: QA76 Electronic computers. Computer science. Computer software URL: http://wrap.warwick.ac.uk/125617/13/WRAP-Open-event-extraction-online-text-generative-adversarial-network-Wang-2019.pdf http://wrap.warwick.ac.uk/125617/7/WRAP-Open-event-extraction-online-text-generative-adversarial-network-Wang-2019.pdf http://wrap.warwick.ac.uk/125617/ https://www.aclweb.org/anthology/D19-1027.pdf BASE Hide details 18 Exploring Recombination for Efficient Decoding of Neural Machine Translation ... Zhang, Zhisong; Wang, Rui; Utiyama, Masao. - : arXiv, 2018 BASE Show details 19 Editorial for the special issue on heterogeneous sensors-based object identification and information fusion Ning, Huansheng; El Baz, Didier; Yang, Laurence,... In: ISSN: 1074-5351 ; EISSN: 1099-1131 ; International Journal of Communication Systems ; https://hal.laas.fr/hal-02091767 ; International Journal of Communication Systems, Wiley, 2017, 30 (5), pp.e3298. &#x27E8;10.1002/dac.3298&#x27E9; (2017) BASE Show details 20 Structural Stability of Lexical Semantic Spaces: Nouns in Chinese and French ... Ploux, Sabine; Wang, Rui; Zhong, ZhengFeng. - : arXiv, 2017 BASE Show details Page: 1 2

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