@inproceedings{ahmed-etal-2024-x,
title = "{X}-{AMR} Annotation Tool",
author = "Ahmed, Shafiuddin Rehan and
Cai, Jon and
Palmer, Martha and
Martin, James H.",
editor = "Aletras, Nikolaos and
De Clercq, Orphee",
booktitle = "Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
month = mar,
year = "2024",
address = "St. Julians, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.eacl-demo.19",
pages = "177--186",
abstract = "This paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics. Leveraging machine assistance through the Prodigy Annotation Tool, we enhance the user experience, ensuring ease and efficiency in the annotation process. Through empirical analyses, we demonstrate the effectiveness of our tool in augmenting an existing event corpus, highlighting its advantages when integrated with GPT-4. Code and annotations: href{https://anonymous.4open.science/r/xamr-9ED0}{anonymous.4open.science/r/xamr-9ED0} footnote Demo: {href{https://youtu.be/TuirftxciNE}{https://youtu.be/TuirftxciNE}} footnote Live Link: {href{https://tinyurl.com/mrxmafwh}{https://tinyurl.com/mrxmafwh}}",
}
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<abstract>This paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics. Leveraging machine assistance through the Prodigy Annotation Tool, we enhance the user experience, ensuring ease and efficiency in the annotation process. Through empirical analyses, we demonstrate the effectiveness of our tool in augmenting an existing event corpus, highlighting its advantages when integrated with GPT-4. Code and annotations: hrefhttps://anonymous.4open.science/r/xamr-9ED0anonymous.4open.science/r/xamr-9ED0 footnote Demo: hrefhttps://youtu.be/TuirftxciNEhttps://youtu.be/TuirftxciNE footnote Live Link: hrefhttps://tinyurl.com/mrxmafwhhttps://tinyurl.com/mrxmafwh</abstract>
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%0 Conference Proceedings
%T X-AMR Annotation Tool
%A Ahmed, Shafiuddin Rehan
%A Cai, Jon
%A Palmer, Martha
%A Martin, James H.
%Y Aletras, Nikolaos
%Y De Clercq, Orphee
%S Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F ahmed-etal-2024-x
%X This paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics. Leveraging machine assistance through the Prodigy Annotation Tool, we enhance the user experience, ensuring ease and efficiency in the annotation process. Through empirical analyses, we demonstrate the effectiveness of our tool in augmenting an existing event corpus, highlighting its advantages when integrated with GPT-4. Code and annotations: hrefhttps://anonymous.4open.science/r/xamr-9ED0anonymous.4open.science/r/xamr-9ED0 footnote Demo: hrefhttps://youtu.be/TuirftxciNEhttps://youtu.be/TuirftxciNE footnote Live Link: hrefhttps://tinyurl.com/mrxmafwhhttps://tinyurl.com/mrxmafwh
%U https://aclanthology.org/2024.eacl-demo.19
%P 177-186
Markdown (Informal)
[X-AMR Annotation Tool](https://aclanthology.org/2024.eacl-demo.19) (Ahmed et al., EACL 2024)
ACL
- Shafiuddin Rehan Ahmed, Jon Cai, Martha Palmer, and James H. Martin. 2024. X-AMR Annotation Tool. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pages 177–186, St. Julians, Malta. Association for Computational Linguistics.