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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 5...37 Hits 1 – 20 of 735 1 Language of Instruction and Political Discrimination of Ethnic Minorities ... Siow, Wai Meng Jeremy. - : Open Science Framework, 2022 BASE Show details 2 Language of Instruction and Ethnic Prejudice in Malaysia ... Siow, Wai Meng Jeremy. - : Open Science Framework, 2022 BASE Show details 3 Improving Lexical Embeddings for Robust Question Answering ... Xu, Weiwen; Zou, Bowei; Lam, Wai. - : arXiv, 2022 BASE Show details 4 University Students’ Attitudes towards English as a Lingua Franca in a Multilingual Sustainable Society Yuntao Zeng; Matthew P. Wallace; Chun-Wai Fan; Yawei Guo In: Sustainability; Volume 14; Issue 8; Pages: 4435 (2022) BASE Show details 5 Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images M. Maithri; Dhanush G. Ballal; Santhosh Kumar; U. Raghavendra; Anjan Gudigar; Wai Yee Chan; Shravya Macherla; Ravindranath Vineetha; Pratibha Gopalkrishna; Edward J. Ciaccio; U. Rajendra Acharya In: Computation; Volume 10; Issue 1; Pages: 8 (2022) BASE Show details 6 Toward a flipped 5E model for teaching problem-solution writing in ESL courses: A two-year longitudinal experiment Lam, Yau Wai; Hew, Khe Foon; Jia, Chengyuan. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022 BASE Show details 7 Testing the psychometric properties of a Chinese version of Dyadic Relationship Scale for families of people with hypertension in China Zeng, Dejian; Yang, Chen; Chien, Wai Tong In: BMC Psychol (2022) BASE Show details 8 Assessing knowledge of and attitudes towards plagiarism and ability to recognize plagiaristic writing among university students in Rwanda Clarke, Olivia; Chan, Wai Yin Debbie; Bukuru, Saddam... In: High Educ (Dordr) (2022) BASE Show details 9 Artificial intelligence in diagnosis of knee osteoarthritis and prediction of arthroplasty outcomes: a review Lee, Lok Sze; Chan, Ping Keung; Wen, Chunyi... In: Arthroplasty (2022) BASE Show details 10 Contributions of common genetic variants to specific languages and to when a language is learned Wong, Patrick C. M.; Kang, Xin; So, Hon-Cheong... In: Sci Rep (2022) BASE Show details 11 Improving Question Answering over Knowledge Graphs using Graph Summarization Li, Sirui; Wong, Kok Wai; Fung, Chun Che; Zhu, Dengya. - : Springer, 2021 Abstract: Question Answering (QA) systems over Knowledge Graphs (KGs) (KGQA) automatically answer natural language questions using triples contained in a KG. The key idea is to represent questions and entities of a KG as low-dimensional embeddings. Previous KGQAs have attempted to represent entities using Knowledge Graph Embedding (KGE) and Deep Learning (DL) methods. However, KGEs are too shallow to capture the expressive features and DL methods process each triple independently. Recently, Graph Convolutional Network (GCN) has shown to be excellent in providing entity embeddings. However, using GCNs to KGQAs is inefficient because GCNs treat all relations equally when aggregating neighbourhoods. Also, a problem could occur when using previous KGQAs: in most cases, questions often have an uncertain number of answers. To address the above issues, we propose a graph summarization technique using Recurrent Convolutional Neural Network (RCNN) and GCN. The combination of GCN and RCNN ensures that the embeddings are propagated together with the relations relevant to the question, and thus better answers. The proposed graph summarization technique can be used to tackle the issue that KGQAs cannot answer questions with an uncertain number of answers. In this paper, we demonstrated the proposed technique on the most common type of questions, which is single-relation questions. Experiments have demonstrated that the proposed graph summarization technique using RCNN and GCN can provide better results when compared to the GCN. The proposed graph summarization technique significantly improves the recall of actual answers when the questions have an uncertain number of answers. URL: https://hdl.handle.net/20.500.11937/87131 BASE Hide details 12 Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Wai; Bing, Lidong. - : Underline Science Inc., 2021 BASE Show details 13 Neural Machine Translation with Monolingual Translation Memory ... Cai, Deng; Wang, Yan; Li, Huayang. - : arXiv, 2021 BASE Show details 14 Sentence Structure and Word Relationship Modeling for Emphasis Selection ... Yang, Haoran; Lam, Wai. - : arXiv, 2021 BASE Show details 15 Acoustical Analysis of Speech Under Physical Stress in Relation to Physical Activities and Physical Literacy ... Ng, Si-Ioi; Ma, Rui-Si; Lee, Tan. - : arXiv, 2021 BASE Show details 16 Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review ... Li, Irene; Pan, Jessica; Goldwasser, Jeremy. - : arXiv, 2021 BASE Show details 17 Multilingual AMR Parsing with Noisy Knowledge Distillation ... Cai, Deng; Li, Xin; Ho, Jackie Chun-Sing. - : arXiv, 2021 BASE Show details 18 Neural Machine Translation with Monolingual Translation Memory ... 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; ., Wai; Cai, Deng. - : Underline Science Inc., 2021 BASE Show details 19 CLICKER: A Computational LInguistics Classification Scheme for Educational Resources ... Hingmire, Swapnil; Li, Irene; Kawamura, Rena. - : arXiv, 2021 BASE Show details 20 Towards Generative Aspect-Based Sentiment Analysis ... 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; ., Wai; Bing, Lidong. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5...37

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