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- W2807335887 abstract "Temporal information extraction plays an important role in providing a QA however, we only aim to extract TLINKs (i.e., temporal relations) between TIMEX3 and EVENT entities that have already been extracted from the given sentences. We also demonstrate the performance of our LSTM-based model when extracting temporal relationships from human-annotated datasets." @default.
- W2807335887 created "2018-06-13" @default.
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- W2807335887 date "2018-01-01" @default.
- W2807335887 modified "2023-09-27" @default.
- W2807335887 title "LSTM-Based Model for Extracting Temporal Relations from Korean Text" @default.
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- W2807335887 doi "https://doi.org/10.1109/bigcomp.2018.00121" @default.
- W2807335887 hasPublicationYear "2018" @default.
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