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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 – 7 of 7 1 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 2 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 3 Tapping into non-English-language science for the conservation of global biodiversity Amano, Tatsuya; Berdejo-Espinola, Violeta; Christie, Alec P.... In: PLoS Biol (2021) BASE Show details 4 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 5 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 6 Logical Parsing from Natural Language Based on a Neural Translation Model ... Li, Liang; Li, Pengyu; Liu, Yifan; Wan, Tao; Qin, Zengchang. - : arXiv, 2017 Abstract: Semantic parsing has emerged as a significant and powerful paradigm for natural language interface and question answering systems. Traditional methods of building a semantic parser rely on high-quality lexicons, hand-crafted grammars and linguistic features which are limited by applied domain or representation. In this paper, we propose a general approach to learn from denotations based on Seq2Seq model augmented with attention mechanism. We encode input sequence into vectors and use dynamic programming to infer candidate logical forms. We utilize the fact that similar utterances should have similar logical forms to help reduce the searching space. Under our learning policy, the Seq2Seq model can learn mappings gradually with noises. Curriculum learning is adopted to make the learning smoother. We test our method on the arithmetic domain which shows our model can successfully infer the correct logical forms and learn the word meanings, compositionality and operation orders simultaneously. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1705.03389 https://arxiv.org/abs/1705.03389 BASE Hide details 7 Body part measures in Mandarin Chinese Liu, Yifan. - 2014 BASE Show details

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