EDBT 2026 Demo / reviewers in the wild / expert
Lokesh Mishra
dblp:362/3171
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Question answering and dialogue systems · 44% Information extraction and text analysis · 44% Language models and text generation · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › document analysis
document information extraction |
0.8 | 1 | 2024 | ESG Accountability Made Easy: DocQA at Your Service · AAAI 2024 |
Natural language and speech › Question answering and dialogue systems › machine reading comprehension
document question answering |
0.8 | 1 | 2024 | ESG Accountability Made Easy: DocQA at Your Service · AAAI 2024 |
Natural language and speech › Language models and text generation › large language model
large language model applications |
0.2 | 1 | 2024 | ESG Accountability Made Easy: DocQA at Your Service · AAAI 2024 |
Methods — techniques the papers use, named apart from their topics
natural language processing · 0.8large language model · 0.8computer vision · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | ESG Accountability Made Easy: DocQA at Your ServiceabstractWe present Deep Search DocQA. This application enables information extraction from documents via a question-answering conversational assistant. The system integrates several technologies from different AI disciplines consisting of document conversion to machine-readable format (via computer vision), finding relevant data (via natural language processing), and formulating an eloquent response (via large language models). Users can explore over 10,000 Environmental, Social, and Governance (ESG) disclosure reports from over 2000 corporations. The Deep Search platform can be accessed at: https://ds4sd.github.io. Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco, Benedikt Bothur, Maksym Lysak, Nikolaos Livathinos, Ahmed S. Nassar, Panagiotis Vagenas, Lucas Morin, Christoph Auer, Michele Dolfi, Peter W. J. Staar |
AAAI | 1 |