@inproceedings{cucurnia-etal-2021-matilda,
title = "{MATILDA} - Multi-{A}nno{T}ator multi-language {I}nteractive{L}ight-weight Dialogue Annotator",
author = "Cucurnia, Davide and
Rozanov, Nikolai and
Sucameli, Irene and
Ciuffoletti, Augusto and
Simi, Maria",
editor = "Gkatzia, Dimitra and
Seddah, Djam{\'e}",
booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = apr,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.eacl-demos.5",
doi = "10.18653/v1/2021.eacl-demos.5",
pages = "32--39",
abstract = "Dialogue Systems are becoming ubiquitous in various forms and shapes - virtual assistants(Siri, Alexa, etc.), chat-bots, customer sup-port, chit-chat systems just to name a few. The advances in language models and their publication have democratised advanced NLP.However, data remains a crucial bottleneck. Our contribution to this essential pillar isMATILDA, to the best of our knowledge the first multi-annotator, multi-language dialogue annotation tool. MATILDA allows the creation of corpora, the management of users, the annotation of dialogues, the quick adaptation of the user interface to any language and the resolution of inter-annotator disagreement. We evaluate the tool on ease of use, annotation speed and interannotation resolution for both experts and novices and conclude that this tool not only supports the full pipeline for dialogue annotation, but also allows non-technical people to easily use it. We are completely open-sourcing the tool at \url{https://github.com/wluper/matilda} and provide a tutorial video1.",
}
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<abstract>Dialogue Systems are becoming ubiquitous in various forms and shapes - virtual assistants(Siri, Alexa, etc.), chat-bots, customer sup-port, chit-chat systems just to name a few. The advances in language models and their publication have democratised advanced NLP.However, data remains a crucial bottleneck. Our contribution to this essential pillar isMATILDA, to the best of our knowledge the first multi-annotator, multi-language dialogue annotation tool. MATILDA allows the creation of corpora, the management of users, the annotation of dialogues, the quick adaptation of the user interface to any language and the resolution of inter-annotator disagreement. We evaluate the tool on ease of use, annotation speed and interannotation resolution for both experts and novices and conclude that this tool not only supports the full pipeline for dialogue annotation, but also allows non-technical people to easily use it. We are completely open-sourcing the tool at https://github.com/wluper/matilda and provide a tutorial video1.</abstract>
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%0 Conference Proceedings
%T MATILDA - Multi-AnnoTator multi-language InteractiveLight-weight Dialogue Annotator
%A Cucurnia, Davide
%A Rozanov, Nikolai
%A Sucameli, Irene
%A Ciuffoletti, Augusto
%A Simi, Maria
%Y Gkatzia, Dimitra
%Y Seddah, Djamé
%S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F cucurnia-etal-2021-matilda
%X Dialogue Systems are becoming ubiquitous in various forms and shapes - virtual assistants(Siri, Alexa, etc.), chat-bots, customer sup-port, chit-chat systems just to name a few. The advances in language models and their publication have democratised advanced NLP.However, data remains a crucial bottleneck. Our contribution to this essential pillar isMATILDA, to the best of our knowledge the first multi-annotator, multi-language dialogue annotation tool. MATILDA allows the creation of corpora, the management of users, the annotation of dialogues, the quick adaptation of the user interface to any language and the resolution of inter-annotator disagreement. We evaluate the tool on ease of use, annotation speed and interannotation resolution for both experts and novices and conclude that this tool not only supports the full pipeline for dialogue annotation, but also allows non-technical people to easily use it. We are completely open-sourcing the tool at https://github.com/wluper/matilda and provide a tutorial video1.
%R 10.18653/v1/2021.eacl-demos.5
%U https://aclanthology.org/2021.eacl-demos.5
%U https://doi.org/10.18653/v1/2021.eacl-demos.5
%P 32-39
Markdown (Informal)
[MATILDA - Multi-AnnoTator multi-language InteractiveLight-weight Dialogue Annotator](https://aclanthology.org/2021.eacl-demos.5) (Cucurnia et al., EACL 2021)
ACL
