Björn Gambäck

About Björn Gambäck

Björn Gambäck, With an exceptional h-index of 28 and a recent h-index of 20 (since 2020), a distinguished researcher at Norges teknisk-naturvitenskaplige universitet, specializes in the field of Language Technology, Computational Linguistics, Machine Learning, Machine Translation.

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

Cross-Lingual Speaker Identification for Indian Languages

NTNU-TRH system at the MultiGED-2023 Shared on Multilingual Grammatical Error Detection

Music style transfer using Constant-Q transform spectrograms

Interactive, efficient and creative image generation using compositional pattern-producing networks

Using transfer-based language models to detect hateful and offensive language online

Deep learning based sentiment analysis in a code-mixed English-Hindi and English-Bengali social media corpus

Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets

SemEval-2020 Task 8: Memotion Analysis--The Visuo-Lingual Metaphor!

Björn Gambäck Information

University

Position

Professor of Language Technology ; RISE Sweden

Citations(all)

4435

Citations(since 2020)

2145

Cited By

3094

hIndex(all)

28

hIndex(since 2020)

20

i10Index(all)

73

i10Index(since 2020)

39

Email

University Profile Page

Norges teknisk-naturvitenskaplige universitet

Google Scholar

View Google Scholar Profile

Björn Gambäck Skills & Research Interests

Language Technology

Computational Linguistics

Machine Learning

Machine Translation

Top articles of Björn Gambäck

Title

Journal

Author(s)

Publication Date

Cross-Lingual Speaker Identification for Indian Languages

Amaan Rizvi

Anupam Jamatia

Dwijen Rudrapal

Kunal Chakma

Björn Gambäck

2023/9

NTNU-TRH system at the MultiGED-2023 Shared on Multilingual Grammatical Error Detection

Swedish Language Technology Conference and NLP4CALL

Lars Bungum

Björn Gambäck

Arild Brandrud Næss

2023/5/16

Music style transfer using Constant-Q transform spectrograms

Tyler McAllister

Björn Gambäck

2022/4/15

Interactive, efficient and creative image generation using compositional pattern-producing networks

Erlend Gjesteland Ekern

Björn Gambäck

2021

Using transfer-based language models to detect hateful and offensive language online

Vebjørn Isaksen

Björn Gambäck

2020/11

Deep learning based sentiment analysis in a code-mixed English-Hindi and English-Bengali social media corpus

International journal on artificial intelligence tools

Anupam Jamatia

Steve Durairaj Swamy

Björn Gambäck

Amitava Das

Swapan Debbarma

2020/8/21

Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets

Parth Patwa

Gustavo Aguilar

Sudipta Kar

Suraj Pandey

Srinivas Pykl

...

2020/8/10

SemEval-2020 Task 8: Memotion Analysis--The Visuo-Lingual Metaphor!

arXiv preprint arXiv:2008.03781

Chhavi Sharma

Deepesh Bhageria

William Scott

Srinivas Pykl

Amitava Das

...

2020/8/9

Sentimental Poetry Generation

Kasper Aalberg Røstvold

Björn Gambäck

2020/12

Tumor Morphology Mentions Identification Using Deep Learning and Conditional Random Fields.

Utpal Kumar Sikdar

Björn Gambäck

M Krishna Kumar

2020

Native-language identification with attention

Stian Steinbakken

Björn Gambäck

2020/12

See List of Professors in Björn Gambäck University(Norges teknisk-naturvitenskaplige universitet)

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
Tanmoy Chakraborty

Tanmoy Chakraborty

Indraprastha Institute of Information Technology

H-index: 36
Vassilis Digalakis

Vassilis Digalakis

Technical University of Crete

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