Improving Language Models Using Augmentation and Multi-Modality
Licentiate thesis, 2023
In this thesis, we investigate methods that augment language models with additional contextual information, for the purpose of simplifying the language modeling problem and increasing the formation of desirable associations. We also investigate whether multi-modal data can assist in forming such associations, that could otherwise be difficult to obtain from textual data only.
In our experiments, we showcase augmentation to be effective toward these ends, in both a textual and multi-modal case. We also demonstrate that visual data can assist in forming knowledge-representing associations in a language model.
natural language processing
contextual augmentation
multimodal language modeling
language models
Author
Tobias Norlund
Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI
Building a Swedish Open-Domain Conversational Language Model
Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa),;(2021)p. 357-366
Paper in proceeding
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?
BlackboxNLP 2021 - Proceedings of the 4th BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP,;(2021)p. 149-162
Paper in proceeding
Cross-modal Transfer Between Vision and Language for Protest Detection
CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop,;(2022)p. 56-60
Paper in proceeding
On the Generalization Ability of Retrieval-Enhanced Transformers
EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023,;(2023)p. 1455-1463
Paper in proceeding
Subject Categories
Other Computer and Information Science
Language Technology (Computational Linguistics)
Computer Science
Publisher
Chalmers
Room Analysen, EDIT Building, Hörsalsvägen 11
Opponent: Pontus Stenetorp, Associate Professor, University College London, United Kingdom