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

Andrea Simeri

dblp:308/2514 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0002-4898-1325ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › document retrieval › domain-specific retrieval
legal information retrieval		 0.612022
LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References · SIGIR 2022
Information retrieval
search engines		 0.612022
LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References · SIGIR 2022

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

BERT-based model · 0.6
YearPublicationVenuePosition
2023 Transformer-based language models for mental health issues: A survey
Candida Maria Greco, Andrea Simeri, Andrea Tagarelli, Ester Zumpano
 Pattern Recognit. Lett.2
2022 LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References
abstract
We present LawNet-Viz, a web-based tool for the modeling, analysis and visualization of law reference networks extracted from a statute law corpus. LawNet-Viz is designed to support legal research tasks and help legal professionals as well as laymen visually exploring the article connections built upon the explicit law references detected in the article contents. To demonstrate LawNet-Viz, we show its application to the Italian Civil Code (ICC), which exploits a recent BERT-based model fine-tuned on the ICC. LawNet-Viz is a system prototype that is planned for product development.
Lucio La Cava, Andrea Simeri, Andrea Tagarelli
 SIGIR2