Jeremy Reffin

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 12

Top Topics

Inference Process

Dependency Trees

Bayesian Networks

Word Similarity

Top Venues

Publications

Georgios Voulgaris, Andy Philippides, Jonathan Dolley, Jeremy Reffin, Fiona Marshall, Novi Quadrianto
Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis. CVPR Workshops (2023)
Bradley Butcher, Vincent S. Huang, Christopher Robinson, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks. Frontiers Artif. Intell. 4 (2021)
Bradley Butcher, Vincent S. Huang, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world. CoRR (2020)
Julie Weeds, Thomas Kober, Jeremy Reffin, David J. Weir
When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases. EACL (2) (2017)
Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir
One Representation per Word - Does it make Sense for Composition? CoRR (2017)
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
Improving Semantic Composition with Offset Inference. CoRR (2017)
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
Improving Semantic Composition with Offset Inference. ACL (2) (2017)
David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober
Aligning Packed Dependency Trees: a theory of composition for distributional semantics. CoRR (2016)
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. EMNLP (2016)
Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. CoRR (2016)
Miroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir
A critique of word similarity as a method for evaluating distributional semantic models. RepEval@ACL (2016)
David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics. Comput. Linguistics 42 (4) (2016)
Julie Weeds, David J. Weir, Jeremy Reffin
Distributional Composition using Higher-Order Dependency Vectors. CVSC@EACL (2014)
Julie Weeds, Daoud Clarke, Jeremy Reffin, David J. Weir, Bill Keller
Learning to Distinguish Hypernyms and Co-Hyponyms. COLING (2014)
Simon Wibberley, David J. Weir, Jeremy Reffin
Method51 for Mining Insight from Social Media Datasets. COLING (Demos) (2014)
Matti Lyra, Daoud Clarke, Hamish Morgan, Jeremy Reffin, David J. Weir
High Value Media Monitoring With Machine Learning - Using Machine Learning to Drive Cost Effectiveness in an Established Business. Künstliche Intell. 27 (3) (2013)
Simon Wibberley, David J. Weir, Jeremy Reffin
Language Technology for Agile Social Media Science. LaTeCH@ACL (2013)
Matti Lyra, Daoud Clarke, Hamish Morgan, Jeremy Reffin, David J. Weir
Challenges in Applying Machine Learning to Media Monitoring. SGAI Conf. (2012)