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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 – 2 of 2 1 A Generative Framework for Simultaneous Machine Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Blunsom, Phil; Miao, Yishu. - : Underline Science Inc., 2021 BASE Show details 2 Discovering Topics in Long-tailed Corpora with Causal Intervention ... 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; Li, Chunping; Miao, Yishu; Wu, Xiaobao. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.15 Abstract: Topic models are effective in capturing the latent semantics of large-scale textual data while existing methods are normally designed and evaluated on balanced corpora. However, it contradicts the fact that general corpora in our world are naturally long-tailed, and the long-tailed bias can highly impair the topic modeling performance. Therefore, in this paper, we propose a causal inference framework to explain and overcome the issues of topic modeling on long-tailed corpora. In a neat and elegant way, causal intervention is applied in training to take out the influence brought by the long-tailed bias. Extensive experiments on manually constructed and naturally collected datasets demonstrate that our model can mitigate the bias effect, greatly improve topic quality and better discover the hidden semantics on the tail. ... URL: https://underline.io/lecture/26106-discovering-topics-in-long-tailed-corpora-with-causal-intervention https://dx.doi.org/10.48448/9dex-yx90 BASE Hide details

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