What is Ascent++?

Ascent++ KB is a commonsense knowledge base (CSKB) constructed from the C4 crawl using the Ascent++ pipeline. It consists of 2 million CSK assertions about 10K popular concepts, presented in the established ConceptNet schema with 19 predicates (e.g., AtLocation, CapableOf, HasProperty, etc.). As of 2022, it presents the highest-quality automated CSKB, both in terms of precision, and in terms of ranked recall.

Ascent++, a successor of Ascent, is a pipeline for automatically collecting, extracting and consolidating commonsense knowledge (CSK) from any English text corpus. Ascent++ is capable of extracting facet-enriched assertions, overcoming the common limitations of the triple-based knowledge model in traditional knowledge bases (KBs). Ascent++ also captures composite concepts with subgroups and related aspects, supplying even more expressiveness to CSK assertions.

This web interface allows you to browse the CSK assertions in the Ascent++ KB.

@ARTICLE{ascentpp,
    author={Nguyen, Tuan-Phong and Razniewski, Simon and Romero, Julien and Weikum, Gerhard},
    journal={IEEE Transactions on Knowledge and Data Engineering},
    title={Refined Commonsense Knowledge from Large-Scale Web Contents},
    year={2022},
    doi={10.1109/TKDE.2022.3206505}
}

@inproceedings{ascent,
    author = {Nguyen, Tuan-Phong and Razniewski, Simon and Weikum, Gerhard},
    title = {Advanced Semantics for Commonsense Knowledge Extraction},
    year = {2021},
    isbn = {9781450383127},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    doi = {10.1145/3442381.3449827},
    booktitle = {Proceedings of the Web Conference 2021},
    pages = {2636–2647},
    numpages = {12},
    location = {Ljubljana, Slovenia},
    series = {WWW '21}
}

@inproceedings{uncommonsense,
    author = {Arnaout, Hiba and Razniewski, Simon and Weikum, Gerhard and Pan, Jeff Z.},
    title = {UnCommonSense: Informative Negative Knowledge about Everyday Concepts},
    year = {2022},
    isbn = {9781450392365},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    doi = {10.1145/3511808.3557484},
    booktitle = {Proceedings of the 31st ACM International Conference on Information & Knowledge Management},
    pages = {37–46},
    numpages = {10},
    keywords = {knowledge base, commonsense, negation},
    location = {Atlanta, GA, USA},
    series = {CIKM '22}
}

@inproceedings{quasimodo,
    author = {Romero, Julien and Razniewski, Simon and Pal, Koninika and Z. Pan, Jeff and Sakhadeo, Archit and Weikum, Gerhard},
    title = {Commonsense Properties from Query Logs and Question Answering Forums},
    year = {2019},
    isbn = {9781450369763},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    doi = {10.1145/3357384.3357955},
    booktitle = {Proceedings of the 28th ACM International Conference on Information and Knowledge Management},
    pages = {1411–1420},
    numpages = {10},
    keywords = {common-sense knowledge acquisition, web mining, information extraction},
    location = {Beijing, China},
    series = {CIKM '19}
}