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Ryosuke Mitani

dblp:320/5573 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

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 · 50% Language models and text generation · 25% Robot manipulation · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
in-context learning
0.612022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER · ACL (1) 2022
Robotics › Robot manipulation
learning from demonstration
0.612022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER · ACL (1) 2022
Natural language and speech › Information extraction and text analysis › named entity recognition
low-resource named entity recognition
0.612022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER · ACL (1) 2022
Natural language and speech › Information extraction and text analysis
named entity recognition
0.612022
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER · ACL (1) 2022

Methods — techniques the papers use, named apart from their topics

demonstration-based learning · 0.6
YearPublicationVenuePosition
2022 Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER
abstract
Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2022.
Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Takashi Shibuya 0001, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren 0001
ACL (1)7