Auflistung nach Schlagwort "Information extraction"

Auflistung nach Schlagwort "Information extraction"

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  • Automated Mining of Leaderboards for Empirical AI Research 
    Kabongo, Salomon; D’Souza, Jennifer; Auer, Sören (New York, NY : Springer, 2021)
    With the rapid growth of research publications, empowering scientists to keep an oversight over scientific progress is of paramount importance. In this regard, the leaderboards facet of information organization provides ...
  • Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines 
    Jaradeh, Mohamad Yaser; Singh, Kuldeep; Stocker, Markus; Both, Andreas; Auer, Sören (New York, NY : Springer, 2021)
    We propose Plumber, the first framework that brings together the research community’s disjoint information extraction (IE) efforts. The Plumber architecture comprises 33 reusable components for various Knowledge Graphs ...
  • Evaluating BERT-based scientific relation classifiers for scholarly knowledge graph construction on digital library collections 
    Jiang, Ming; D’Souza, Jennifer; Auer, Sören; Downie, J. Stephen (Heidelberg : Springer, 2021)
    The rapid growth of research publications has placed great demands on digital libraries (DL) for advanced information management technologies. To cater to these demands, techniques relying on knowledge-graph structures are ...
  • Information extraction pipelines for knowledge graphs 
    Jaradeh, Mohamad Yaser; Singh, Kuldeep; Stocker, Markus; Both, Andreas; Auer, Sören (London : Springer, 2023)
    In the last decade, a large number of knowledge graph (KG) completion approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths and weaknesses in effective KG completion have ...
  • MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles 
    Jaradeh, Mohamad Yaser; Stocker, Markus; Auer, Sören (New York, NY : Springer, 2022)
    Information extraction from scholarly articles is a challenging task due to the sizable document length and implicit information hidden in text, figures, and citations. Scholarly information extraction has various applications ...
  • ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph 
    Kabongo, Salomon; D’Souza, Jennifer; Auer, Sören (Berlin ; Heidelberg ; New York : Springer, 2023)
    The purpose of this work is to describe the orkg-Leaderboard software designed to extract leaderboards defined as task–dataset–metric tuples automatically from large collections of empirical research papers in artificial ...
  • The quest for research information 
    Blümel, Ina; Dietze, Stefan; Heller, Lambert; Jäschke, Robert; Mehlberg, Martin (Amsterdam [u.a.] : Elsevier, 2014)
    Research information, i.e., data about research projects, organisations, researchers or research outputs such as publications or patents, is spread across the web, usually residing in institutional and personal web pages ...