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Journal Articles
- 2021
[j3]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: 612551 (2021)- 2016
- [j2]David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober:
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics. Comput. Linguistics 42(4): 727-761 (2016) - 2013
- [j1]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): 255-265 (2013)
Conference and Workshop Papers
- 2023
- [c10]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: 2116-2124 - 2017
- [c9]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Semantic Composition with Offset Inference. ACL (2) 2017: 433-440 - [c8]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: 529-534 - 2016
- [c7]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. EMNLP 2016: 1691-1702 - [c6]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: 7-12 - 2014
- [c5]Julie Weeds, David J. Weir, Jeremy Reffin:
Distributional Composition using Higher-Order Dependency Vectors. CVSC@EACL 2014: 11-20 - [c4]Simon Wibberley, David J. Weir, Jeremy Reffin:
Method51 for Mining Insight from Social Media Datasets. COLING (Demos) 2014: 115-119 - [c3]Julie Weeds, Daoud Clarke, Jeremy Reffin, David J. Weir, Bill Keller:
Learning to Distinguish Hypernyms and Co-Hyponyms. COLING 2014: 2249-2259 - 2013
- [c2]Simon Wibberley, David J. Weir, Jeremy Reffin:
Language Technology for Agile Social Media Science. LaTeCH@ACL 2013: 36-42 - 2012
- [c1]Matti Lyra, Daoud Clarke, Hamish Morgan, Jeremy Reffin, David J. Weir:
Challenges in Applying Machine Learning to Media Monitoring. SGAI Conf. 2012: 419-432
Informal and Other Publications
- 2020
- [i5]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 abs/2003.07182 (2020) - 2017
- [i4]Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir:
One Representation per Word - Does it make Sense for Composition? CoRR abs/1702.06696 (2017) - [i3]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Semantic Composition with Offset Inference. CoRR abs/1704.06692 (2017) - 2016
- [i2]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. CoRR abs/1608.06794 (2016) - [i1]David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober:
Aligning Packed Dependency Trees: a theory of composition for distributional semantics. CoRR abs/1608.07115 (2016)
Coauthor Index
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