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Letizia Tomada

dblp:309/7134 · 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
Trustworthy machine learning · 87% Information extraction and text analysis · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
fairness
0.612022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing · ACL (1) 2022
Machine learning › Trustworthy machine learning › fairness
fairness evaluation
0.612022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing · ACL (1) 2022
Natural language and speech › Information extraction and text analysis › document understanding › legal text analysis
legal text understanding
0.212022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing · ACL (1) 2022

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

multilingual benchmark · 0.6
YearPublicationVenuePosition
2022 FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing
abstract
Ilias Chalkidis, Tommaso Pasini, Sheng Zhang, Letizia Tomada, Sebastian Schwemer, Anders Søgaard. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
Ilias Chalkidis, Tommaso Pasini, Sheng Zhang 0022, Letizia Tomada, Sebastian Felix Schwemer, Anders Søgaard
ACL (1)4