@inproceedings{soler-company-wanner-2017-relevance,
title = "On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification",
author = "Soler-Company, Juan and
Wanner, Leo",
editor = "Lapata, Mirella and
Blunsom, Phil and
Koller, Alexander",
booktitle = "Proceedings of the 15th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 2, Short Papers",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/E17-2108",
pages = "681--687",
abstract = "The majority of approaches to author profiling and author identification focus mainly on lexical features, i.e., on the content of a text. We argue that syntactic and discourse features play a significantly more prominent role than they were given in the past. We show that they achieve state-of-the-art performance in author and gender identification on a literary corpus while keeping the feature set small: the used feature set is composed of only 188 features and still outperforms the winner of the PAN 2014 shared task on author verification in the literary genre.",
}
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%0 Conference Proceedings
%T On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification
%A Soler-Company, Juan
%A Wanner, Leo
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F soler-company-wanner-2017-relevance
%X The majority of approaches to author profiling and author identification focus mainly on lexical features, i.e., on the content of a text. We argue that syntactic and discourse features play a significantly more prominent role than they were given in the past. We show that they achieve state-of-the-art performance in author and gender identification on a literary corpus while keeping the feature set small: the used feature set is composed of only 188 features and still outperforms the winner of the PAN 2014 shared task on author verification in the literary genre.
%U https://aclanthology.org/E17-2108
%P 681-687
Markdown (Informal)
[On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification](https://aclanthology.org/E17-2108) (Soler-Company & Wanner, EACL 2017)
ACL