EDBT 2026 Demo / reviewers in the wild / expert
Priyansh Singhal
dblp:406/4339
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0002-1202-386XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
question answering |
1.0 | 1 | 2026 | Toward a Telugu Question Answering Dataset for Agricultural IR to Serve Marginal Farmers in Drought-Prone Rayalaseema: A Gap Analysis and Roadmap · SIGIR 2026 |
Information retrieval › evaluation › benchmark dataset
benchmark dataset construction |
0.3 | 1 | 2026 | Toward a Telugu Question Answering Dataset for Agricultural IR to Serve Marginal Farmers in Drought-Prone Rayalaseema: A Gap Analysis and Roadmap · SIGIR 2026 |
Information retrieval
retrieval evaluation |
0.3 | 1 | 2026 | Toward a Telugu Question Answering Dataset for Agricultural IR to Serve Marginal Farmers in Drought-Prone Rayalaseema: A Gap Analysis and Roadmap · SIGIR 2026 |
Methods — techniques the papers use, named apart from their topics
gap analysis · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Toward a Telugu Question Answering Dataset for Agricultural IR to Serve Marginal Farmers in Drought-Prone Rayalaseema: A Gap Analysis and RoadmapabstractRayalaseema in southern India is one of the country's most drought-vulnerable regions, experiencing drought in 15 of 18 years between 2000-2018. Over 80% of its 2.7 million farmers are marginal or small landholders practicing rainfed agriculture. Despite pressing agricultural information needs around water management, crop selection, and drought adaptation, these farmers face compounding barriers: 36% rural internet penetration, 60% literacy rates, and information systems designed for English or Hindi speakers. We examine the current landscape of agricultural information retrieval resources for Telugu-speaking farmers and find a critical gap: while agricultural QA datasets exist for Hindi, Tamil, and Bengali, no Telugu agricultural QA benchmark exists, let alone one addressing drought-specific contexts. We document available information sources, identify where they fall short, and propose a methodology for constructing a Telugu Agricultural QA dataset using Kisan Call Center records and regional extension materials. This work charts a path toward inclusive agricultural IR for over 74 million Telugu speakers. Piyush Joshi, Priyansh Singhal |
SIGIR | 2 |