Demo Data from EDBT 2026 / reviewers in the wild / expert
Himani Shrotriya
dblp:301/7962
· DBLP profile ↗
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 |
Language models and text generation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › evaluation of language models
multilingual evaluation |
0.6 | 1 | 2022 | IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages · EMNLP 2022 |
Natural language and speech › Language models and text generation › text generation
multilingual text generation |
0.6 | 1 | 2022 | IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages · EMNLP 2022 |
Methods — techniques the papers use, named apart from their topics
evaluation · 0.6dataset construction · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic LanguagesabstractAman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022. Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra |
EMNLP | 2 |