Jeff Mitchell

Affiliations:
  • University of Bristol, UK
  • Edinburgh Napier University, Edinburgh, UK


According to our database1, Jeff Mitchell authored at least 18 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Generalisation in Neural Networks Does not Require Feature Overlap.
CoRR, 2021

2020
Harnessing the Symmetry of Convolutions for Systematic Generalisation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Priorless Recurrent Networks Learn Curiously.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Automated Fact Checking in the News Room.
Proceedings of the World Wide Web Conference, 2019

2018
Extrapolation in NLP.
CoRR, 2018

Question Answering Resources Applied to Slot-Filling.
CoRR, 2018

Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF).
Proceedings of the First Workshop on Fact Extraction and VERification, 2018

Jack the Reader - A Machine Reading Framework.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017

2016
Decomposing Bilexical Dependencies into Semantic and Syntactic Vectors.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

2015
Orthogonality of Syntax and Semantics within Distributional Spaces.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Parser Adaptation to the Biomedical Domain without Re-Training.
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015

2013
Learning Semantic Representations in a Bigram Language Model.
Proceedings of the 10th International Conference on Computational Semantics, 2013

2010
Composition in Distributional Models of Semantics.
Cogn. Sci., 2010

Syntactic and Semantic Factors in Processing Difficulty: An Integrated Measure.
Proceedings of the ACL 2010, 2010

2009
Language Models Based on Semantic Composition.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008
Vector-based Models of Semantic Composition.
Proceedings of the ACL 2008, 2008


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