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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 – 15 of 15 1 First year of the UQ sustainable energy micromasters series: Evaluation of participation and achievement Coffey, Felicity C.; Ashworth, Peta. - : Springer Verlag, 2019 BASE Show details 2 CLEF ehealth 2019 evaluation lab Kelly, Liadh; Goeuriot, Lorraine; Suominen, Hanna. - : Springer, 2019 BASE Show details 3 Overview of the CLEF eHealth Evaluation Lab 2019 Kelly, Liadh; Suominen, Hanna; Goeuriot, Lorraine. - : Springer Verlag, 2019 BASE Show details 4 Leveraging knowledge graph embeddings for natural language question answering Wang, Ruijie; Wang, Meng; Liu, Jun; Chen, Weitong; Cochez, Michael; Decker, Stefan. - : Springer, 2019 Abstract: A promising pathway for natural language question answering over knowledge graphs (KG-QA) is to translate natural language questions into graph-structured queries. During the translation, a vital process is to map entity/relation phrases of natural language questions to the vertices/edges of underlying knowledge graphs which can be used to construct target graph-structured queries. However, due to linguistic flexibility and ambiguity of natural language, the mapping process is challenging and has been a bottleneck of KG-QA models. In this paper, we propose a novel framework, called KemQA, which stands on recent advances in relation phrase dictionaries and knowledge graph embedding techniques to address the mapping problem and construct graph-structured queries of natural language questions. Extensive experiments were conducted on question answering benchmark datasets. The results demonstrate that our framework outperforms state-of-the-art baseline models in terms of effectiveness and efficiency. Keyword: 1700 Computer Science; 2614 Theoretical Computer Science; Knowledge graph; Knowledge graph embedding; Natural language question answering URL: https://espace.library.uq.edu.au/view/UQ:8ad10b5 BASE Hide details 5 Using LIP to gloss over faces in single-stage face detection networks Yang, Siqi; Wiliem, Arnold; Chen, Shaokang. - : Springer, 2018 BASE Show details 6 Vertical and sequential sentiment analysis of micro-blog topic Wan, Shuo; Li, Bohan; Zhang, Anman. - : Springer, 2018 BASE Show details 7 DAVE: extracting domain attributes and values from text corpus Shen, Yongxin; Li, Zhixu; Zhang, Wenling. - : Springer Verlag, 2018 BASE Show details 8 Mining the context of citations in scientific publications Hassan, Saeed-Ul; Iqbal, Sehrish; Imran, Mubashir. - : Springer, 2018 BASE Show details 9 Overview of the CLEF eHealth evaluation lab 2018 Suominen, Hanna; Kelly, Liadh; Goeuriot, Lorraine. - : Springer International Publishing, 2018 BASE Show details 10 The JStar language philosophy Utting, Mark; Weng, Min-Hsien; Cleary, John G.. - : Elsevier, 2014 BASE Show details 11 Structural operational semantics through context-dependent behaviour Colvin, Robert J.; Hayes, Ian J.. - : Elsevier North-Holland, 2011 BASE Show details 12 Information flow analysis with Chinese text Cheong, Paulo; Song, Dawei; Bruza, Peter. - : Springer Verlag, 2005 BASE Show details 13 A Correlation Analysis on LSA and HAL Semantic Space Models Yan, Xin; Li, Xue; Song, Dawei. - 2004 BASE Show details 14 Fuzzy K-means clustering on a high dimensional semantic space Cao, Guihong; Song, Dawei; Bruza, Peter. - : Springer Verlag, 2004 BASE Show details 15 A natural language interpreter for the construction of conceptual schemas Dunn, Leone; Orlowska, Maria. - : Springer Verlag, 1990 BASE Show details

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