To BERT or not to BERT-Comparing Contextual Embeddings in a Deep Learning Architecture for the Automatic Recognition of four Types of Speech, Thought and Writing Representation.
%0 Conference Paper
%1 brunner2020bert
%A Brunner, Annelen
%A Tu, Ngoc Duyen Tanja
%A Weimer, Lukas
%A Jannidis, Fotis
%B SwissText/KONVENS
%D 2020
%K bert directspeech nlp speech
%T To BERT or not to BERT-Comparing Contextual Embeddings in a Deep Learning Architecture for the Automatic Recognition of four Types of Speech, Thought and Writing Representation.
@inproceedings{brunner2020bert,
added-at = {2022-02-07T09:00:38.000+0100},
author = {Brunner, Annelen and Tu, Ngoc Duyen Tanja and Weimer, Lukas and Jannidis, Fotis},
biburl = {https://www.bibsonomy.org/bibtex/291d418b03d4a5bd0652d9cb0ebc2c202/albinzehe},
booktitle = {SwissText/KONVENS},
interhash = {8f73051e036b6787fd7d35bff2dd2f2e},
intrahash = {91d418b03d4a5bd0652d9cb0ebc2c202},
keywords = {bert directspeech nlp speech},
timestamp = {2022-02-07T09:00:38.000+0100},
title = {To BERT or not to BERT-Comparing Contextual Embeddings in a Deep Learning Architecture for the Automatic Recognition of four Types of Speech, Thought and Writing Representation.},
year = 2020
}
