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Demo Data from EDBT 2026 / reviewers in the wild / expert

Tanvi Aggarwal

dblp:233/8183 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Question answering and dialogue systems · 50% Knowledge representation and reasoning · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
commonsense reasoning		 0.612022
Using Commonsense Knowledge to Answer Why-Questions · EMNLP 2022
Natural language and speech › Question answering and dialogue systems › reasoning-based question answering
why-question answering		 0.612022
Using Commonsense Knowledge to Answer Why-Questions · EMNLP 2022

Methods — techniques the papers use, named apart from their topics

commonsense knowledge base · 0.6
YearPublicationVenuePosition
2022 Using Commonsense Knowledge to Answer Why-Questions
abstract
Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
 EMNLP3