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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 – 6 of 6 1 NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jiang, Jing; Lim, Ee-Peng. - : Underline Science Inc., 2021 BASE Show details 2 NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ... Zhang, Qiyuan; Wang, Lei; Yu, Sicheng; Wang, Shuohang; Wang, Yang; Jiang, Jing; Lim, Ee-Peng. - : arXiv, 2021 Abstract: While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects. First, we lack QA datasets covering complex questions that involve answers as well as the reasoning processes to get the answers. As a result, the state-of-the-art QA research on numerical reasoning still focuses on simple calculations and does not provide the mathematical expressions or evidences justifying the answers. Second, the QA community has contributed much effort to improving the interpretability of QA models. However, these models fail to explicitly show the reasoning process, such as the evidence order for reasoning and the interactions between different pieces of evidence. To address the above shortcomings, we introduce NOAHQA, a conversational and bilingual QA dataset with questions requiring numerical reasoning with compound mathematical expressions. With NOAHQA, we develop an interpretable ... : Findings of EMNLP 2021. Code will be released at: https://github.com/Don-Joey/NoahQA ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2109.10604 https://arxiv.org/abs/2109.10604 BASE Hide details 3 ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer ... Hsieh, Lee-Hsun; Lee, Yang-Yin; Lim, Ee-Peng. - : arXiv, 2021 BASE Show details 4 On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation ... Silva, Amila; Lo, Pei-Chi; Lim, Ee-Peng. - : arXiv, 2020 BASE Show details 5 Changing with time:modelling and detecting user lifecycle periods in online community platforms Rowe, Matthew. - : Springer-Verlag, 2013 BASE Show details 6 Performance measurement framework for hierarchical text classification Sun, Aixin; Lim, Ee-Peng; Ng, Wee Keong In: American Society for Information Science and Technology. Journal of the American Society for Information Science and Technology. - New York, NY : Wiley 54 (2003) 11, 1014-1028 BLLDB Show details

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