@inproceedings{nguyen-etal-2021-inside,
title = "Inside {ASCENT}: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering",
author = "Nguyen, Tuan-Phong and
Razniewski, Simon and
Weikum, Gerhard",
editor = "Ji, Heng and
Park, Jong C. and
Xia, Rui",
booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.acl-demo.5",
doi = "10.18653/v1/2021.acl-demo.5",
pages = "40--47",
abstract = "ASCENT is a fully automated methodology for extracting and consolidating commonsense assertions from web contents (Nguyen et al., 2021). It advances traditional triple-based commonsense knowledge representation by capturing semantic facets like locations and purposes, and composite concepts, i.e., subgroups and related aspects of subjects. In this demo, we present a web portal that allows users to understand its construction process, explore its content, and observe its impact in the use case of question answering. The demo website (\url{https://ascent.mpi-inf.mpg.de}) and an introductory video (\url{https://youtu.be/qMkJXqu_Yd4}) are both available online.",
}
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%0 Conference Proceedings
%T Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
%A Nguyen, Tuan-Phong
%A Razniewski, Simon
%A Weikum, Gerhard
%Y Ji, Heng
%Y Park, Jong C.
%Y Xia, Rui
%S Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F nguyen-etal-2021-inside
%X ASCENT is a fully automated methodology for extracting and consolidating commonsense assertions from web contents (Nguyen et al., 2021). It advances traditional triple-based commonsense knowledge representation by capturing semantic facets like locations and purposes, and composite concepts, i.e., subgroups and related aspects of subjects. In this demo, we present a web portal that allows users to understand its construction process, explore its content, and observe its impact in the use case of question answering. The demo website (https://ascent.mpi-inf.mpg.de) and an introductory video (https://youtu.be/qMkJXqu_Yd4) are both available online.
%R 10.18653/v1/2021.acl-demo.5
%U https://aclanthology.org/2021.acl-demo.5
%U https://doi.org/10.18653/v1/2021.acl-demo.5
%P 40-47
Markdown (Informal)
[Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering](https://aclanthology.org/2021.acl-demo.5) (Nguyen et al., ACL-IJCNLP 2021)
ACL