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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 Hits 1 – 20 of 53 1 Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-trained DNN-HMM-Based Acoustic-Phonetic Model ... Wang, Nick J. C.; Wang, Lu; Sun, Yandan. - : arXiv, 2022 BASE Show details 2 Tonsilla subrostrum Zhang & Irfan & Wang & Zhang 2022, sp. nov. ... Zhang, Meng; Irfan, Muhammad; Wang, Lu-Yu. - : Zenodo, 2022 BASE Show details 3 Tonsilla subrostrum Zhang & Irfan & Wang & Zhang 2022, sp. nov. ... Zhang, Meng; Irfan, Muhammad; Wang, Lu-Yu. - : Zenodo, 2022 BASE Show details 4 DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation ... 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; Hua, Xinyu; Sreevatsa, Ashwin. - : Underline Science Inc., 2021 BASE Show details 5 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cao, Shuyang; Wang, Lu. - : Underline Science Inc., 2021 BASE Show details 6 Controllable Open-ended Question Generation with A New Question Type Ontology ... 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; Cao, Shuyang; Wang, Lu. - : Underline Science Inc., 2021 BASE Show details 7 Serratacosa medogensis Wang & Peng & Zhang 2021, gen. et sp. nov. ... Wang, Lu-Yu; Peng, Xian-Jin; Zhang, Zhi-Sheng. - : Zenodo, 2021 BASE Show details 8 Sinartoria Wang & Framenau & Zhang 2021, gen. nov. ... Wang, Lu-Yu; Framenau, Volker W.; Zhang, Zhi-Sheng. - : Zenodo, 2021 BASE Show details 9 Serratacosa medogensis Wang & Peng & Zhang 2021, gen. et sp. nov. ... Wang, Lu-Yu; Peng, Xian-Jin; Zhang, Zhi-Sheng. - : Zenodo, 2021 BASE Show details 10 Sinartoria Wang & Framenau & Zhang 2021, gen. nov. ... Wang, Lu-Yu; Framenau, Volker W.; Zhang, Zhi-Sheng. - : Zenodo, 2021 BASE Show details 11 Ectatosticta pingwuensis Wang & Zhao & Irfan & Zhang 2021, sp. nov. ... Wang, Lu-Yu; Zhao, Jing-Xia; Irfan, Muhammad. - : Zenodo, 2021 BASE Show details 12 Ectatosticta pingwuensis Wang & Zhao & Irfan & Zhang 2021, sp. nov. ... Wang, Lu-Yu; Zhao, Jing-Xia; Irfan, Muhammad. - : Zenodo, 2021 BASE Show details 13 Ectatosticta shennongjiaensis Wang & Zhao & Irfan & Zhang 2021, sp. nov. ... Wang, Lu-Yu; Zhao, Jing-Xia; Irfan, Muhammad. - : Zenodo, 2021 BASE Show details 14 Ectatosticta shennongjiaensis Wang & Zhao & Irfan & Zhang 2021, sp. nov. ... Wang, Lu-Yu; Zhao, Jing-Xia; Irfan, Muhammad. - : Zenodo, 2021 BASE Show details 15 Inference Time Style Control for Summarization ... Cao, Shuyang; Wang, Lu. - : arXiv, 2021 BASE Show details 16 Inference Time Style Control for Summarization ... NAACL 2021 2021; Cao, Shuyang; Wang, Lu. - : Underline Science Inc., 2021 Abstract: Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.476/ Abstract: How to generate summaries of different styles without requiring corpora in the target styles, or training separate models? We present two novel methods that can be deployed during summary decoding on any pre-trained Transformer-based summarization model. (1) Decoder state adjustment instantly modifies decoder final states with externally trained style scorers, to iteratively refine the output against a target style. (2) Word unit prediction constrains the word usage to impose strong lexical control during generation. In experiments of summarizing with simplicity control, automatic evaluation and human judges both find our models producing outputs in simpler languages while still informative. We also generate news headlines with various ideological leanings, which can be distinguished by humans with a reasonable probability. ... Keyword: Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing URL: https://underline.io/lecture/19779-inference-time-style-control-for-summarization https://dx.doi.org/10.48448/jxt2-n591 BASE Hide details 17 Variation in Surgeon Proficiency Scores and Association With Digit Replantation Outcomes Yoon, Alfred P.; Kane, Robert L.; Wang, Leyi... In: JAMA Netw Open (2021) BASE Show details 18 Pulmonary Rehabilitation Programmes Within Three Days of Hospitalization for Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis Zhang, Dong; Zhang, Hailong; Li, Xuanlin... In: Int J Chron Obstruct Pulmon Dis (2021) BASE Show details 19 Communication value of English-language S&T academic journals in non-native English language countries [<Journal>] Yu, Zhenglu [Verfasser]; Ma, Zheng [Verfasser]; Wang, Haiyan [Verfasser]. DNB Subject Category Language Show details 20 Cross-device task interaction framework between the smart watch and the smart phone [<Journal>] Xu, Yajie [Verfasser]; Wang, Lu [Verfasser]; Xu, Yanning [Verfasser]. DNB Subject Category Language Show details Page: 1 2 3

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