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You should evaluate your language model on marginal likelihood overtokenisations


Sep 06, 2021
Kris Cao, Laura Rimell

* accepted at EMNLP 2021 

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Pretraining the Noisy Channel Model for Task-Oriented Dialogue


Mar 18, 2021
Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom

* Accepted to TACL, pre MIT Press publication version 

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Probing Emergent Semantics in Predictive Agents via Question Answering


Jun 01, 2020
Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill

* ICML 2020 

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Syntactic Structure Distillation Pretraining For Bidirectional Encoders


May 27, 2020
Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom

* 17 pages, 6 tables, 2 figures. AK and LK contributed equally 

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Neural Generative Rhetorical Structure Parsing


Sep 24, 2019
Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos

* EMNLP 2019 

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Scalable Syntax-Aware Language Models Using Knowledge Distillation


Jun 14, 2019
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom

* ACL 2019 

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Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning


Aug 13, 2016
Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin


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Proceedings of the 2016 Workshop on Semantic Spaces at the Intersection of NLP, Physics and Cognitive Science


Aug 02, 2016
Dimitrios Kartsaklis, Martha Lewis, Laura Rimell

* EPTCS 221, 2016 

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Using Sentence Plausibility to Learn the Semantics of Transitive Verbs


Dec 12, 2014
Tamara Polajnar, Laura Rimell, Stephen Clark

* Full updated paper for NIPS learning semantics workshop, with some minor errata fixed 

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