Papers by Lachlan O’Neill

2 papers
CANarEx: Contextually Aware Narrative Extraction for Semantically Rich Text-as-data Applications (2022.findings-emnlp)

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Challenge: Narrative modelling is a field of active research that conceptualizes narratives as connected entity chains.
Approach: They propose an alternative narrative extraction approach using semantic role labeling to extract tuples from text, then dimensionality reduction to reduce the space of entities and connections separately.
Outcome: The proposed approach improves on a text-as-data task and improves accuracy and recall.
Models Teaching Models: Improving Model Accuracy with Slingshot Learning (2023.eacl-main)

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Challenge: Existing methods to label datasets are expensive and require human labor . a semi-supervised method that augments a small dataset with labels reduces the cost of using simpler methods .
Approach: They propose a semi-supervised method to augment a human-labeled dataset with labels from a teacher model to slingshot the performance of a student model.
Outcome: The proposed method reduces the accuracy trade-off required to use simpler methods without disrupting their benefits.

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