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Nonsymbolic Text Representation
October 03, 2016 · Declared Dead · 🏛 Conference of the European Chapter of the Association for Computational Linguistics
"No code URL or promise found in abstract"
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Authors
Hinrich Schuetze, Heike Adel, Ehsaneddin Asgari
arXiv ID
1610.00479
Category
cs.CL: Computation & Language
Citations
19
Venue
Conference of the European Chapter of the Association for Computational Linguistics
Last Checked
3 months ago
Abstract
We introduce the first generic text representation model that is completely nonsymbolic, i.e., it does not require the availability of a segmentation or tokenization method that attempts to identify words or other symbolic units in text. This applies to training the parameters of the model on a training corpus as well as to applying it when computing the representation of a new text. We show that our model performs better than prior work on an information extraction and a text denoising task.
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