Papers by Johanna Björklund
Thesis Proposal: Detecting Agency Attribution (2024.eacl-srw)
Copied to clipboard
| Challenge: | 'agency' is the freedom and capacity of an entity to act, and the corresponding Natural Language Processing (NLP) task involves automatically detecting attributions of agency to entities in text. |
| Approach: | They propose a schema to annotate a dataset for agency attribution and formulate additional research questions by applying NLP models. |
| Outcome: | The proposed framework draws on semantic frame analysis, role labelling and related techniques. |
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case (2020.coling-main)
Copied to clipboard
| Challenge: | Semantic embeddings have advanced the state of the art for natural language processing tasks . but their inner workings are poorly understood and there is a shortage of analysis tools . |
| Approach: | They propose to extend visual-semantic embeddings to multimodal domains by defining probing tasks for embeddable image-caption pairs and testing them with classifiers. |
| Outcome: | The proposed probing tasks show up to 16% more accurate on visual-semantic embeddings compared to unimodal embedders . the proposed extensions to multimodal domains have been lauded as promising in natural language processing . |
Bridging Perception, Memory, and Inference through Semantic Relations (2021.emnlp-main)
Copied to clipboard
| Challenge: | Recent studies suggest that it is impossible to learn meaning from surface form alone. |
| Approach: | They propose to develop triadic systems that combine neural and symbolic methods to provide a seamless information flow between them. |
| Outcome: | The proposed systems combine the strengths of neural and symbolic methods to achieve a seamless information flow between them. |