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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 Hits 1 – 20 of 78 1 Contextual Semantic-Guided Entity-Centric GCN for Relation Extraction Jun Long; Lei Liu; Hongxiao Fei; Yiping Xiang; Haoran Li; Wenti Huang; Liu Yang In: Mathematics; Volume 10; Issue 8; Pages: 1344 (2022) BASE Show details 2 Virtual Reality-Integrated Immersion-Based Teaching to English Language Learning Outcome Xie, Yu; Liu, Yang; Zhang, Fengrui... In: Front Psychol (2022) BASE Show details 3 Dialog{S}um: {A} Real-Life Scenario Dialogue Summarization Dataset ... 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; Chen, Yulong; Chen, Liang. - : Underline Science Inc., 2021 BASE Show details 4 Transfer Learning for Sequence Generation: from Single-source to Multi-source ... 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; Huang, Xuancheng; Liu, Yang. - : Underline Science Inc., 2021 BASE Show details 5 Mask-Align: Self-Supervised Neural Word Alignment ... 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; Chen, Chi; Liu, Yang. - : Underline Science Inc., 2021 BASE Show details 6 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Gang; Huang, Kaiyu. - : Underline Science Inc., 2021 BASE Show details 7 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding , Kaize; Fan, Xing. - : Underline Science Inc., 2021 BASE Show details 8 Statistically significant detection of semantic shifts using contextual word embeddings ... Liu, Yang; Medlar, Alan; Glowacka, Dorota. - : arXiv, 2021 BASE Show details 9 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dorota; Liu, Yang. - : Underline Science Inc., 2021 BASE Show details 10 Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Deli; Dai, Damai. - : Underline Science Inc., 2021 BASE Show details 11 Tapping into non-English-language science for the conservation of global biodiversity. ... Amano, Tatsuya; Berdejo-Espinola, Violeta; Christie, Alec. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 12 Tapping into non-English-language science for the conservation of global biodiversity. ... Amano, Tatsuya; Berdejo-Espinola, Violeta; Christie, Alec P. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 13 Tapping into non-English-language science for the conservation of global biodiversity Amano, Tatsuya; Berdejo-Espinola, Violeta; Christie, Alec P.; Willott, Kate; Akasaka, Munemitsu; Báldi, András; Berthinussen, Anna; Bertolino, Sandro; Bladon, Andrew J.; Chen, Min; Choi, Chang-Yong; Bou Dagher Kharrat, Magda; de Oliveira, Luis G.; Farhat, Perla; Golivets, Marina; Hidalgo Aranzamendi, Nataly; Jantke, Kerstin; Kajzer-Bonk, Joanna; Kemahlı Aytekin, M. Çisel; Khorozyan, Igor; Kito, Kensuke; Konno, Ko; Lin, Da-Li; Littlewood, Nick; Liu, Yang; Liu, Yifan; Loretto, Matthias-Claudio; Marconi, Valentina; Martin, Philip A.; Morgan, William H.; Narváez-Gómez, Juan P.; Negret, Pablo Jose; Nourani, Elham; Ochoa Quintero, Jose M.; Ockendon, Nancy; Oh, Rachel Rui Ying; Petrovan, Silviu O.; Piovezan-Borges, Ana C.; Pollet, Ingrid L.; Ramos, Danielle L.; Reboredo Segovia, Ana L.; Rivera-Villanueva, A. Nayelli; Rocha, Ricardo; Rouyer, Marie-Morgane; Sainsbury, Katherine A.; Schuster, Richard; Schwab, Dominik; Şekercioğlu, Çağan H.; Seo, Hae-Min; Shackelford, Gorm; Shinoda, Yushin; Smith, Rebecca K.; Tao, Shan-dar; Tsai, Ming-shan; Tyler, Elizabeth H. M.; Vajna, Flóra; Valdebenito, José Osvaldo; Vozykova, Svetlana; Waryszak, Paweł; Zamora-Gutierrez, Veronica; Zenni, Rafael D.; Zhou, Wenjun; Sutherland, William J. In: PLoS Biol (2021) Abstract: The widely held assumption that any important scientific information would be available in English underlies the underuse of non-English-language science across disciplines. However, non-English-language science is expected to bring unique and valuable scientific information, especially in disciplines where the evidence is patchy, and for emergent issues where synthesising available evidence is an urgent challenge. Yet such contribution of non-English-language science to scientific communities and the application of science is rarely quantified. Here, we show that non-English-language studies provide crucial evidence for informing global biodiversity conservation. By screening 419,679 peer-reviewed papers in 16 languages, we identified 1,234 non-English-language studies providing evidence on the effectiveness of biodiversity conservation interventions, compared to 4,412 English-language studies identified with the same criteria. Relevant non-English-language studies are being published at an increasing rate in 6 out of the 12 languages where there were a sufficient number of relevant studies. Incorporating non-English-language studies can expand the geographical coverage (i.e., the number of 2° × 2° grid cells with relevant studies) of English-language evidence by 12% to 25%, especially in biodiverse regions, and taxonomic coverage (i.e., the number of species covered by the relevant studies) by 5% to 32%, although they do tend to be based on less robust study designs. Our results show that synthesising non-English-language studies is key to overcoming the widespread lack of local, context-dependent evidence and facilitating evidence-based conservation globally. We urge wider disciplines to rigorously reassess the untapped potential of non-English-language science in informing decisions to address other global challenges. Please see the Supporting information files for Alternative Language Abstracts. Keyword: Meta-Research Article URL: https://doi.org/10.1371/journal.pbio.3001296 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496809/ BASE Hide details 14 Tapping into non-English-language science for the conservation of global biodiversity. Amano, Tatsuya; Berdejo-Espinola, Violeta; Christie, Alec P... In: essn: 1545-7885 ; nlmid: 101183755 (2021) BASE Show details 15 Tapping into non-English-language science for the conservation of global biodiversity Amano, Tatsuya; Berdejo-Espinola, Violeta; Christie, Alec P.. - : Public Library of Science, 2021. : PLOS Biology, 2021 BASE Show details 16 Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance ÓhÉigeartaigh, Seán S.; Whittlestone, Jess; Liu, Yang. - : Springer Netherlands, 2021. : Philosophy & Technology, 2021 BASE Show details 17 Fostering EFL/ESL Students’ Language Achievement: The Role of Teachers’ Enthusiasm and Classroom Enjoyment Liu, Yang; Zhang, Mingjie; Zhao, Xuetao... In: Front Psychol (2021) BASE Show details 18 Overview of AMALGUM – Large Silver Quality Annotations across English Genres Gessler, Luke D; Peng, Siyao; Liu, Yang... In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 19 Please Mind the Root: Decoding Arborescences for Dependency Parsing Vieira, Tim; Cotterell, Ryan; Zmigrod, Ran In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) BASE Show details 20 Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions McCarthy, Arya D.; Cotterell, Ryan; Williams, Adina... In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) BASE Show details Page: 1 2 3 4

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