Global ETD Search

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Showing 1 to 5 of 5 for “"sequence tagging"”.

  1. A graph-based framework for information extraction

    … consistently outperforms the state-of-the-art sequence tagging model by a significant margin.

    mit Repository record for A graph-based framework for information extraction (opens in a new tab)

  2. Automatic identification and translation of multiword expressions

    … of MWEs in context can be modelled with sequence tagging methodologies. To this end, we devise a new neural network architecture, which is a combination of convolutional neural networks and long-short term memories with an optional conditional random field layer on top. We conduct …

    wlv Repository record for Automatic identification and translation of multiword expressions (opens in a new tab)

  3. Examination and utilization of rare features in text classification of injury narratives

    … paired with three add-on methods (two-word sequence tagging, reviewed tagging, Naive Bayes-weighted classifier) resulted in better classification performance as compared to stemming and lemmatization. The overall classification performance for small categories with limited training data was …

    purdue-thes Repository record for Examination and utilization of rare features in text classification of injury narratives (opens in a new tab)

  4. Adding to the recombineering toolbox: interrogating internal transcriptional complexity in Caenorhabditis elegans operons via recombineered fosmid-based reporters

    … and 5’ addition of one of two splice-leader sequences followed by ds-splicing of the resulting pre-mRNAs to form mature, discrete mRNAs. However evidence suggests operon gene transcription is likely to be more complex. For example, microarray data indicated that correlated operon gene …

    kings Repository record for Adding to the recombineering toolbox: interrogating internal transcriptional complexity in Caenorhabditis elegans operons via recombineered fosmid-based reporters (opens in a new tab)