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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 – 7 of 7 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. - : arXiv, 2021 BASE Show 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 Abstract: Personal values have significant influence on individuals' behaviors, preferences, and decision making. It is therefore not a surprise that personal values of a person could influence his or her social media content and activities. Instead of getting users to complete personal value questionnaire, researchers have looked into a non-intrusive and highly scalable approach to predict personal values using user-generated social media data. Nevertheless, geographical differences in word usage and profile information are issues to be addressed when designing such prediction models. In this work, we focus on analyzing Singapore users' personal values, and developing effective models to predict their personal values using their Facebook data. These models leverage on word categories in Linguistic Inquiry and Word Count (LIWC) and correlations among personal values. The LIWC word categories are adapted to non-English word use in Singapore. We incorporate the correlations among personal values into our proposed Stack ... Keyword: FOS Computer and information sciences; Machine Learning cs.LG; Social and Information Networks cs.SI URL: https://arxiv.org/abs/2007.08107 https://dx.doi.org/10.48550/arxiv.2007.08107 BASE Hide 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 7 Entity Identification in Database Integration Lim, Ee-Peng; Srivastava, Jaideep; Prabhakar, Satya... In: Information sciences. - New York, NY : Elsevier Science Inc. 89 (1996) 1-2, 1-38 OLC Linguistik Show details

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