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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 – 14 of 14 1 Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help? ... Saleh, Fahimeh; Buntine, Wray; Haffari, Gholamreza. - : arXiv, 2021 BASE Show details 2 Neural Attention-Aware Hierarchical Topic Model ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Buntine, Wray; Du, Lan. - : Underline Science Inc., 2021 BASE Show details 3 Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gholamreza; Buntine, Wray; Du, Lan; Saleh, Fahimeh. - : Underline Science Inc., 2021 Abstract: Multilingual Neural Machine Translation (MNMT) trains a single NMT model that supports translation between multiple languages, rather than training separate models for different languages. Learning a single model can enhance the low-resource translation by leveraging data from multiple languages. However, the performance of an MNMT model is highly dependent on the type of languages used in training, as transferring knowledge from a diverse set of languages degrades the translation performance due to negative transfer. In this paper, we propose a Hierarchical Knowledge Distillation (HKD) approach for MNMT which capitalises on language groups generated according to typological features and phylogeny of languages to overcome the issue of negative transfer. HKD generates a set of multilingual teacher-assistant models via a selective knowledge distillation mechanism based on the language groups, and then distills the ultimate multilingual model from those assistants in an adaptive way. Experimental results ... URL: https://dx.doi.org/10.48448/antx-0x85 https://underline.io/lecture/38410-multilingual-neural-machine-translation-can-linguistic-hierarchies-helpquestion BASE Hide details 4 SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression ... Zhao, Jinming; Liu, Ming; Gao, Longxiang. - : arXiv, 2020 BASE Show details 5 Semantic Title Evaluation and Recommendation Based on Topic Models Jin, Huidong (Warren); Zhang, Lijiu; Du, Lan In: Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 Workshops ; http://pakdd2013.pakdd.org/ (2015) BASE Show details 6 Semantic Title Evaluation and Recommendation Based on Topic Models Jin, Huidong (Warren); Zhang, Lijiu; Du, Lan In: Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2013 Workshops ; http://pakdd2013.pakdd.org/ (2015) BASE Show details 7 Modelling Sequential Text with an Adaptive Topic Model Du, Lan; Buntine, Wray; Jin, Huidong (Warren). - : Association for Computational Linguistics, 2015 BASE Show details 8 Topic Segmentation with a Structured Topic Model Du, Lan; Buntine, Wray; Johnson, Mark In: Topic Segmentation with a Structured Topic Model (2015) BASE Show details 9 Topic Segmentation with a Structured Topic Model Du, Lan; Buntine, Wray; Johnson, Mark In: Topic Segmentation with a Structured Topic Model (2015) BASE Show details 10 Modelling Sequential Text with an Adaptive Topic Model Du, Lan; Buntine, Wray; Jin, Huidong (Warren). - : Association for Computational Linguistics, 2015 BASE Show details 11 A Computationally efficient algorithm for learning topical collocation models Zhao, Zhendong; Du, Lan; Börschinger, Benjamin. - : Red Hook, New York : Association for Computational Linguistics, 2015 BASE Show details 12 Semantic title evaluation and recommendation based on topic models Jin, Huidong; Zhang, Lijiu; Du, Lan. - : Heidelberg : Springer, 2013 BASE Show details 13 Topic segmentation with a structured topic model Du, Lan; Buntine, Wray; Johnson, Mark. - : Stroudsburg, PA : The Association for Computational Linguistics, 2013 BASE Show details 14 Modelling sequential text with an adaptive topic model Du, Lan; Buntine, Wray; Jin, Huidong. - : Stroudsburg, PA : Association for Computational Linguistics, 2012 BASE Show details

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