Challenges in Applying Machine Learning to Media Monitoring. - Matti Lyra; Daoud Clarke; Hamish Morgan; Jeremy Reffin; David J. Weir (SGAI Conf., 2012)

Language Technology for Agile Social Media Science. - Simon Wibberley; David J. Weir; Jeremy Reffin (LaTeCH@ACL, 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)

Distributional Composition using Higher-Order Dependency Vectors. - Julie Weeds; David J. Weir; Jeremy Reffin (CVSC@EACL, 2014)

Learning to Distinguish Hypernyms and Co-Hyponyms. - Julie Weeds; Daoud Clarke; Jeremy Reffin; David J. Weir; Bill Keller (COLING, 2014)

Method51 for Mining Insight from Social Media Datasets. - Simon Wibberley; David J. Weir; Jeremy Reffin (COLING (Demos), 2014)

Improving Sparse Word Representations with Distributional Inference for Semantic Composition. - Thomas Kober 001; Julie Weeds; Jeremy Reffin; David J. Weir (EMNLP, 2016)

A critique of word similarity as a method for evaluating distributional semantic models. - Miroslav Batchkarov; Thomas Kober 001; Jeremy Reffin; Julie Weeds; David J. Weir (RepEval@ACL, 2016)

Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics. - David J. Weir; Julie Weeds; Jeremy Reffin; Thomas Kober 001 (Comput. Linguistics, 2016)

Improving Semantic Composition with Offset Inference. - Thomas Kober 001; Julie Weeds; Jeremy Reffin; David J. Weir (ACL (2), 2017)

When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases. - Julie Weeds; Thomas Kober 001; Jeremy Reffin; David J. Weir (EACL (2), 2017)

One Representation per Word - Does it make Sense for Composition? - Thomas Kober 001; Julie Weeds; John Wilkie; Jeremy Reffin; David J. Weir (CoRR, 2017)

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)

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)

Seasonal Domain Shift in the Global South: Dataset and Deep Features Analysis. - Georgios Voulgaris; Andy Philippides; Jonathan Dolley; Jeremy Reffin; Fiona Marshall; Novi Quadrianto (CVPR Workshops, 2023)