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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain

Authors: Alessandra Zarcone; Touhidul Alam; Zahra Kolagar;

PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain

Abstract

PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain We present PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain. PÂTÉ is a dataset of natural-language commands containing temporal expressions for an AI voice assistant. The dataset is presented in: Zarcone, Alessandra and Alam, Touhidul and Kolagar, Zahra (2020). "PÂTÉ: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain". Proceedings of the 12th Conference on Language Resources and Evaluation (LREC). Marseille, France, May 11-16, 2020. The dataset is annotated according to the TimeML/TIMEX3 annotation guidelines (Saurı et al., 2006; TimeML Working Group, 2009). In our paper we also describe how we annotated cases which were not covered by the guidelines. We also provide an annotation of the Snips dataset (Coucke et al., 2018) following the same guidelines. Please refer to the README.md file inside PATE.zip for details about the files.

Keywords

TIMEX3, voice assistant, calendar, time expressions, crowdsourcing, TimeML, time

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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