Lachlan O'Neill

According to our database, Lachlan O'Neill authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Paired Completion: Flexible Quantification of Issue-framing at Scale with LLMs.

Simon D. Angus, Lachlan O'Neill

CoRR, 2024

2023

Models Teaching Models: Improving Model Accuracy with Slingshot Learning.

Lachlan O'Neill, Nandini Anantharama, Satya Borgohain, Simon D. Angus

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

CANarEx: Contextually Aware Narrative Extraction for Semantically Rich Text-as-data Applications.

Nandini Anantharama, Simon D. Angus, Lachlan O'Neill

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Creating Powerful and Interpretable Models withRegression Networks.

Lachlan O'Neill, Simon D. Angus, Satya Borgohain, Nader Chmait, David L. Dowe

CoRR, 2021

2019

Proximity Forest: an effective and scalable distance-based classifier for time series.

Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb

Data Min. Knowl. Discov., 2019