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Harshit Kedia

dblp:336/5834 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—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
Information extraction and text analysis · 77% Language models and text generation · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
named entity recognition
0.712023
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages · ACL (1) 2023
Natural language and speech › Language models and text generation
multilingual learning
0.212023
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages · ACL (1) 2023
YearPublicationVenuePosition
2023 Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
abstract
Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, Rudra Murthy, Anoop Kunchukuttan. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, V. Rudra Murthy, Anoop Kunchukuttan
ACL (1)2