Jeremy Reffin

18 papers A* 1B 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2023 — conf
Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis.
CVPR Workshops
Georgios Voulgaris, Andy Philippides, Jonathan Dolley, Jeremy Reffin, Fiona Marshall, Novi Quadrianto
2021 J jnl
Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks.
Frontiers Artif. Intell.
Bradley Butcher, Vincent S. Huang, Christopher Robinson, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
2020 J jnl
Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world.
CoRR
Bradley Butcher, Vincent S. Huang, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
2017 — conf
Improving Semantic Composition with Offset Inference.
ACL (2)
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2017 J jnl
Improving Semantic Composition with Offset Inference.
CoRR
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2017 J jnl
One Representation per Word - Does it make Sense for Composition?
CoRR
Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir
2017 — conf
When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases.
EACL (2)
Julie Weeds, Thomas Kober, Jeremy Reffin, David J. Weir
2016 — conf
A critique of word similarity as a method for evaluating distributional semantic models.
RepEval@ACL
Miroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir
2016 J jnl
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics.
Comput. Linguistics
David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober
2016 J jnl
Aligning Packed Dependency Trees: a theory of composition for distributional semantics.
CoRR
David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober
2016 A* conf
Improving Sparse Word Representations with Distributional Inference for Semantic Composition.
EMNLP
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2016 J jnl
Improving Sparse Word Representations with Distributional Inference for Semantic Composition.
CoRR
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
2014 — conf
Distributional Composition using Higher-Order Dependency Vectors.
CVSC@EACL
Julie Weeds, David J. Weir, Jeremy Reffin
2014 B conf
Learning to Distinguish Hypernyms and Co-Hyponyms.
COLING
Julie Weeds, Daoud Clarke, Jeremy Reffin, David J. Weir, Bill Keller
2014 — conf
Method51 for Mining Insight from Social Media Datasets.
COLING (Demos)
Simon Wibberley, David J. Weir, Jeremy Reffin
2013 J jnl
High Value Media Monitoring With Machine Learning - Using Machine Learning to Drive Cost Effectiveness in an Established Business.
Künstliche Intell.
Matti Lyra, Daoud Clarke, Hamish Morgan, Jeremy Reffin, David J. Weir
2013 — conf
Language Technology for Agile Social Media Science.
LaTeCH@ACL
Simon Wibberley, David J. Weir, Jeremy Reffin
2012 — conf
Challenges in Applying Machine Learning to Media Monitoring.
SGAI Conf.
Matti Lyra, Daoud Clarke, Hamish Morgan, Jeremy Reffin, David J. Weir