Demo Data from VLDB 2026 / reviewers in the wild / expert
Anna Bethke
dblp:248/8050
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 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 · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Web and social media mining · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › fairness › bias evaluation
bias measurement |
0.5 | 1 | 2021 | StereoSet: Measuring stereotypical bias in pretrained language models · ACL/IJCNLP (1) 2021 |
Machine learning › Trustworthy machine learning
fairness |
0.5 | 1 | 2021 | StereoSet: Measuring stereotypical bias in pretrained language models · ACL/IJCNLP (1) 2021 |
Machine learning › Trustworthy machine learning › fairness › fairness evaluation
stereotype bias evaluation |
0.5 | 1 | 2021 | StereoSet: Measuring stereotypical bias in pretrained language models · ACL/IJCNLP (1) 2021 |
Web and social media mining › hate speech
hate speech detection |
0.4 | 1 | 2019 | A Benchmark Dataset for Learning to Intervene in Online Hate Speech · EMNLP/IJCNLP (1) 2019 |
Collaborative and social computing › computer-mediated communication
online social interaction |
0.1 | 1 | 2019 | A Benchmark Dataset for Learning to Intervene in Online Hate Speech · EMNLP/IJCNLP (1) 2019 |
Methods — techniques the papers use, named apart from their topics
benchmark dataset construction · 0.8stereotype evaluation benchmark · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | StereoSet: Measuring stereotypical bias in pretrained language modelsabstractMoin Nadeem, Anna Bethke, Siva Reddy. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2021. Moin Nadeem, Anna Bethke, Siva Reddy |
ACL/IJCNLP (1) | 2 |
| 2019 | A Benchmark Dataset for Learning to Intervene in Online Hate SpeechabstractJing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, William Yang Wang. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019. Anna Bethke, Yinyin Liu, Elizabeth M. Belding, William Yang Wang |
EMNLP/IJCNLP (1) | 2 |