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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 – 17 of 17 1 Multilingual Neural Machine Translation:Can Linguistic Hierarchies Help? ... Saleh, Fahimeh; Buntine, Wray; Haffari, Gholamreza. - : arXiv, 2021 BASE Show details 2 Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection ... Vu, Thuy-Trang; He, Xuanli; Phung, Dinh. - : arXiv, 2021 BASE Show details 3 Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training ... Wu, Minghao; Li, Yitong; Zhang, Meng. - : arXiv, 2021 BASE Show details 4 Neural-Symbolic Commonsense Reasoner with Relation Predictors ... 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; ., Gholamreza; Baktashmotlagh, Mahsa. - : Underline Science Inc., 2021 BASE Show details 5 Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ... 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; ., Gholamreza; Bi, Sheng; Li, Yuan-Fang; Qi, Guilin; Shen, Shirong; Wu, Tongtong. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.214 Abstract: Event detection (ED) aims at detecting event trigger words in sentences and classifying them into specific event types. In real-world applications, ED typically does not have sufficient labeled data, thus can be formulated as a few-shot learning problem. To tackle the issue of low sample diversity in few-shot ED, we propose a novel knowledge-based few-shot event detection method which uses a definition-based encoder to introduce external event knowledge as the knowledge prior of event types. Furthermore, as external knowledge typically provides limited and imperfect coverage of event types, we introduce an adaptive knowledge-enhanced Bayesian meta-learning method to dynamically adjust the knowledge prior of event types. Experiments show our method consistently and substantially outperforms a number of baselines by at least 15 absolute $F_1$ points under the same few-shot settings. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/26305-adaptive-knowledge-enhanced-bayesian-meta-learning-for-few-shot-event-detection https://dx.doi.org/10.48448/sv5h-as26 BASE Hide details 6 Learning to Explain: Generating Stable Explanations Fast ... 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; ., Gholamreza; Maruf, Sameen. - : Underline Science Inc., 2021 BASE Show details 7 It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gholamreza; Arthur, Philip. - : Underline Science Inc., 2021 BASE Show details 8 Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gholamreza; Li, Zhuang. - : Underline Science Inc., 2021 BASE Show details 9 Cognition-aware Cognate Detection ... Kanojia, Diptesh; Sharma, Prashant; Ghodekar, Sayali. - : arXiv, 2021 BASE Show details 10 Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gholamreza; He, Xuanli. - : Underline Science Inc., 2021 BASE Show details 11 Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gholamreza; Buntine, Wray. - : Underline Science Inc., 2021 BASE Show details 12 Multilingual Simultaneous Neural Machine Translation ... 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; ., Gholamreza; Arthur, Philip. - : Underline Science Inc., 2021 BASE Show details 13 Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gholamreza; Li, Liangyou. - : Underline Science Inc., 2021 BASE Show details 14 Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ... Kanojia, Diptesh; Dabre, Raj; Dewangan, Shubham. - : arXiv, 2021 BASE Show details 15 Two-Stage Recognition and beyond for Compound Facial Emotion Recognition Dorota Kamińska; Kadir Aktas; Davit Rizhinashvili... In: Electronics ; Volume 10 ; Issue 22 (2021) BASE Show details 16 Psychometric properties of modified MOS social support survey 5-item (MSSS-5-item) among Iranian older adults Bakhshandeh Bavarsad, Maryam; Foroughan, Mahshid; Zanjari, Nasibeh... In: BMC Geriatr (2021) BASE Show details 17 Concurrent Group-Dynamic Assessment of Intermediate EFL Learners’ Receptive and Productive Vocabulary Size Azari Noughabi, Mostafa; Mohammad Reza Amirian, Seyed; Zareian, Gholamreza In: Porta Linguarum: revista internacional de didáctica de las lenguas extranjeras, ISSN 1697-7467, Nº. 36, 2021, pags. 119-137 (2021) BASE Show details

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