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Showing 1 to 2 of 2 for “"partial annotations"”.

  1. Learning from multiple heterogeneous sources - Handling source trustworthiness and incompleteness

    … Named Entity Recognition (NER) model with annotations from multiple sources. Even for datasets from the same domain, annotations from different sources cover different sets of entity types. Such inconsistency makes it omnipresent to treat them as different tasks, and no existing methods, to …

    uiuc Repository record for Learning from multiple heterogeneous sources - Handling source trustworthiness and incompleteness (opens in a new tab)

  2. Does it have to be trees? : Data-driven dependency parsing with incomplete and noisy training data

    … data-driven dependency parsers on incomplete annotations. Our parsers are simple modifications of two well-known dependency parsers, the transition-based Malt parser and the graph-based MST parser. While previous work on parsing with incomplete data has typically couched the task in frameworks …

    potsdam-diss Repository record for Does it have to be trees? : Data-driven dependency parsing with incomplete and noisy training data (opens in a new tab)