Richard Johansson

Head of Unit at Data Science and AI 2

Source: chalmers.se
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Showing 23 publications

2025

Fact Recall, Heuristics or Pure Guesswork? Precise Interpretations of Language Models for Fact Completion

Denitsa Saynova, Lovisa Hagström, Moa Johansson et al
Findings of the Association for Computational Linguistics: ACL 2025, p. 18322-18349
Paper in proceeding
2025

Language Model Re-rankers are Fooled by Lexical Similarities

Lovisa Hagström, Ercong Nie, Ruben Halifa et al
Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER), p. 18-33
Paper in proceeding
2024

Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models

Mehrdad Farahani, Richard Johansson
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, p. 16966-16977
Paper in proceeding
2024

Can Large Language Models (or Humans) Disentangle Text?

Nicolas Pietro Marie Audinet De Pieuchon, Adel Daoud, Connor T. Jerzak et al
Proceedings of the Sixth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS 2024), p. 57-67
Paper in proceeding
2024

What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?

Richard Johansson
Proceedings - International Conference on Computational Linguistics, COLING, p. 17486-17492
Paper in proceeding
2023

An Empirical Study of Multitask Learning to Improve Open Domain Dialogue Systems

Mehrdad Farahani, Richard Johansson
Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), p. 347-357
Paper in proceeding
2023

On the Generalization Ability of Retrieval-Enhanced Transformers

Tobias Norlund, Ehsan Doostmohammadi, Richard Johansson et al
EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023, p. 1455-1463
Paper in proceeding
2023

Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models

Ehsan Doostmohammadi, Tobias Norlund, Marco Kuhlmann et al
Association for Computational Linguistics . Annual Meeting Conference Proceedings. Vol. 2, p. 521-529
Paper in proceeding
2023

The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models

Lovisa Hagström, Denitsa Saynova, Tobias Norlund et al
EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings, p. 5457-5476
Paper in proceeding
2023

Class Explanations: the Role of Domain-Specific Content and Stop Words

Denitsa Saynova, Sebastianus Cornelis Jacobus Bruinsma, Moa Johansson et al
Proceedings of the 24th Nordic Conference on Computational Linguistics, NoDaLiDa 2023, p. 103-112
Paper in proceeding
2022

How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?

Lovisa Hagström, Richard Johansson
International Conference on Computational Linguistics . Proceedings. Vol. 29 (1), p. 5582-5596
Paper in proceeding
2022

Cross-modal Transfer Between Vision and Language for Protest Detection

Ria Dass Raj, Kajsa Andreasson, Tobias Norlund et al
CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop, p. 56-60
Paper in proceeding
2022

Controlling for Stereotypes in Multimodal Language Model Evaluation

Manuj Malik, Richard Johansson
BlackboxNLP 2022 - BlackboxNLP Analyzing and Interpreting Neural Networks for NLP, Proceedings of the Workshop, p. 263-271
Paper in proceeding
2022

Can We Use Small Models to Investigate Multimodal Fusion Methods?

Lovisa Hagström, Tobias Norlund, Richard Johansson
Proceedings of the 2022 CLASP Conference on (Dis)embodiment, p. 45-50
Paper in proceeding
2022

Semi-supervised learning with natural language processing for right ventricle classification in echocardiography - a scalable approach

Eva Hagberg, David Hagerman Olzon, Richard Johansson et al
Computers in Biology and Medicine. Vol. 143
Journal article
2022

Conceptualizing Treatment Leakage in Text-based Causal Inference

Adel Daoud, Connor T. Jerzak, Richard Johansson
NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, p. 5638-5645
Paper in proceeding
2021

NLP for Resource Building

Richard Johansson
The Swedish FrameNet++. Harmonization, integration, method development and practical language technology applications, p. 169-190
Book chapter
2021

Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?

Tobias Norlund, Lovisa Hagström, Richard Johansson
BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, p. 149-162
Paper in proceeding
2021

Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency

Lovisa Hagström, Richard Johansson
Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), p. 124-134
Paper in proceeding
2021

Semantic Role Labeling

Richard Johansson, Karin Friberg Heppin, Dimitrios Kokkinakis
The Swedish FrameNet++. Harmonization, integration, method development and practical language technology applications / edited by Dana Dannélls, Lars Borin and Karin Friberg Heppin, p. 264-280
Book chapter
2019

Issue salience on twitter during swedish party leaders' debates

Linn A.C. Sandberg, Ulf Bjereld, Karina Bunyik et al
Nordicom Review. Vol. 40 (2), p. 49-61
Journal article

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