Jeremy Reffin

According to our database, Jeremy Reffin authored at least 15 papers between 2012 and 2023.

Collaborative distances:

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

2023

Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis.

Georgios Voulgaris, Andy Philippides, Jonathan Dolley, Jeremy Reffin, Fiona Marshall, Novi Quadrianto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks.

Bradley Butcher, Vincent S. Huang, Christopher Robinson, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto

Frontiers Artif. Intell., 2021

2020

Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world.

Bradley Butcher, Vincent S. Huang, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto

CoRR, 2020

2017

One Representation per Word - Does it make Sense for Composition?

Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir

CoRR, 2017

When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases.

Julie Weeds, Thomas Kober, Jeremy Reffin, David J. Weir

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Improving Semantic Composition with Offset Inference.

Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics.

David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober

Comput. Linguistics, 2016

A critique of word similarity as a method for evaluating distributional semantic models.

Miroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir

Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Improving Sparse Word Representations with Distributional Inference for Semantic Composition.

Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014

Method51 for Mining Insight from Social Media Datasets.

Simon Wibberley, David J. Weir, Jeremy Reffin

Proceedings of the COLING 2014, 2014

Learning to Distinguish Hypernyms and Co-Hyponyms.

Julie Weeds, Daoud Clarke, Jeremy Reffin, David J. Weir, Bill Keller

Proceedings of the COLING 2014, 2014

Distributional Composition using Higher-Order Dependency Vectors.

Julie Weeds, David J. Weir, Jeremy Reffin

Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality, 2014

2013

High Value Media Monitoring With Machine Learning - Using Machine Learning to Drive Cost Effectiveness in an Established Business.

Matti Lyra, Daoud Clarke, Hamish Morgan, Jeremy Reffin, David J. Weir

Künstliche Intell., 2013

Language Technology for Agile Social Media Science.

Simon Wibberley, David J. Weir, Jeremy Reffin

Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, 2013

2012

Challenges in Applying Machine Learning to Media Monitoring.

Matti Lyra, Daoud Clarke, Hamish Morgan, Jeremy Reffin, David J. Weir

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012