Demo Data from EDBT 2026 / reviewers in the wild / expert
Animesh Nighojkar
dblp:242/6553
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0001-9898-6979ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 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 |
Information extraction and text analysis · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › text similarity
paraphrase identification |
0.5 | 1 | 2021 | Improving Paraphrase Detection with the Adversarial Paraphrasing Task · ACL/IJCNLP (1) 2021 |
Methods — techniques the papers use, named apart from their topics
adversarial paraphrasing · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Improving Paraphrase Detection with the Adversarial Paraphrasing TaskabstractAnimesh Nighojkar, John Licato. 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. Animesh Nighojkar, John Licato |
ACL/IJCNLP (1) | 1 |