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Relation Extraction
Relation Extraction
Publications: 476| Citation Count: 3,434
Stemming Variations: relations extracted, related extraction, related extracted, relation extracted, Relations Extraction
Cumulative Annual
    • Relation extraction is the task of extracting semantic relations— such as synonymy or hypernymy—between word pairs from corpus data. Past work in relation extraction has concentrated on manually creating templates to use in directly extracting word pairs for a given semantic relation from corpus text. Recently, there has been a move towards using machine learning to automatically learn these patterns...

    Willy Yap, et al. Experiments on pattern-based relation learning

    • Relation extraction is the process of scanning text for relationships between named entities. Recently, significant studies have focused on automatically extracting relations from biomedical corpora. Most existing biomedical relation extractors require manual creation of biomedical lexicons or parsing templates based on domain knowledge...

    Jiexun Li, et al. Kernel-based learning for biomedical relation extraction

    • Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical learning, and thus all have to deal with feature selection, which can significantly affect the classification performance...

    Jing Jiang, et al. A Systematic Exploration of the Feature Space for Relation Extraction

    • Relation extraction is the task of finding pre-defined semantic relations between two entities or entity mentions from text. Many methods, such as feature-based and kernel-based methods, have been proposed in the literature. Among them, feature-based methods draw much attention from researchers...

    Peng Zhang, et al. Exploiting the Role of Position Feature in Chinese Relation Extraction

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