Johan Boye

Johan Boye

Kungliga Tekniska högskolan

H-index: 20

Europe-Sweden

About Johan Boye

Johan Boye, With an exceptional h-index of 20 and a recent h-index of 7 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Artificial Intelligence, Speech Technology, Language Technology, Computational Linguistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quinductor: a multilingual data-driven method for generating reading-comprehension questions using universal dependencies

Quasi: a synthetic Question-Answering dataset in Swedish using GPT-3 and zero-shot learning

EMBRACE: Evaluation and Modifications for Boosting RACE

SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish

Generation and Evaluation of Multiple-choice Reading Comprehen-sion Questions for Swedish

Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish

Textinator: an internationalized tool for annotation and human evaluation in natural language processing and generation

Minor changes make a difference: a case study on the consistency of UD-based dependency parsers

Johan Boye Information

University

Position

Associate Professor of Computer Science

Citations(all)

1142

Citations(since 2020)

180

Cited By

1131

hIndex(all)

20

hIndex(since 2020)

7

i10Index(all)

34

i10Index(since 2020)

4

Email

University Profile Page

Kungliga Tekniska högskolan

Google Scholar

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Johan Boye Skills & Research Interests

Artificial Intelligence

Speech Technology

Language Technology

Computational Linguistics

Top articles of Johan Boye

Title

Journal

Author(s)

Publication Date

Quinductor: a multilingual data-driven method for generating reading-comprehension questions using universal dependencies

Natural Language Engineering

Dmytro Kalpakchi

Johan Boye

2024/3

Quasi: a synthetic Question-Answering dataset in Swedish using GPT-3 and zero-shot learning

Dmytro Kalpakchi

Johan Boye

2023

EMBRACE: Evaluation and Modifications for Boosting RACE

arXiv preprint arXiv:2305.08433

Mariia Zyrianova

Dmytro Kalpakchi

Johan Boye

2023/5/15

SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish

arXiv preprint arXiv:2304.13994

Dmytro Kalpakchi

Johan Boye

2023/4/27

Generation and Evaluation of Multiple-choice Reading Comprehen-sion Questions for Swedish

Dmytro Kalpakchi

Johan Boye

2023

Automatically generating question-answer pairs for assessing basic reading comprehension in Swedish

arXiv preprint arXiv:2211.15568

Dmytro Kalpakchi

Johan Boye

2022/11/28

Textinator: an internationalized tool for annotation and human evaluation in natural language processing and generation

Dmytro Kalpakchi

Johan Boye

2022/6

Minor changes make a difference: a case study on the consistency of UD-based dependency parsers

arXiv preprint arXiv:2111.15413

Dmytro Kalpakchi

Johan Boye

2021/11/30

BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset

arXiv preprint arXiv:2108.03973

Dmytro Kalpakchi

Johan Boye

2021/8/9

UDon2: a library for manipulating Universal Dependencies trees

Dmytro Kalpakchi

Johan Boye

2020/12

See List of Professors in Johan Boye University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 46
Johan Bos

Johan Bos

Rijksuniversiteit Groningen

H-index: 44
Marc Cavazza

Marc Cavazza

Greenwich University

H-index: 42
Stephen Pulman

Stephen Pulman

University of Oxford

H-index: 37
Robin Cooper

Robin Cooper

Göteborgs universitet

H-index: 33
joakim gustafson

joakim gustafson

Kungliga Tekniska högskolan

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