@inproceedings{schutze-2017-nonsymbolic,
title = "Nonsymbolic Text Representation",
author = {Sch{\"u}tze, Hinrich},
booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/E17-1074",
pages = "785--796",
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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%0 Conference Proceedings
%T Nonsymbolic Text Representation
%A Schütze, Hinrich
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
%D 2017
%8 apr
%I Association for Computational Linguistics
%C Valencia, Spain
%F schutze-2017-nonsymbolic
%X 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.
%U https://aclanthology.org/E17-1074
%P 785-796
Markdown (Informal)
[Nonsymbolic Text Representation](https://aclanthology.org/E17-1074) (Schütze, EACL 2017)
ACL
- Hinrich Schütze. 2017. Nonsymbolic Text Representation. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 785–796, Valencia, Spain. Association for Computational Linguistics.