Laura Rimell
Laura Rimell
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Zitiert von
Zitiert von
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
Ethical and social risks of harm from language models
L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ...
arXiv preprint arXiv:2112.04359, 2021
Taxonomy of risks posed by language models
L Weidinger, J Uesato, M Rauh, C Griffin, PS Huang, J Mellor, A Glaese, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
Take and took, gaggle and goose, book and read: Evaluating the utility of vector differences for lexical relation learning
E Vylomova, L Rimell, T Cohn, T Baldwin
arXiv preprint arXiv:1509.01692, 2015
Unbounded dependency recovery for parser evaluation
L Rimell, S Clark, M Steedman
Proceedings of the 2009 conference on empirical methods in natural language …, 2009
Evaluation of dependency parsers on unbounded dependencies
J Nivre, L Rimell, R McDonald, C Gomez-Rodriguez
Proceedings of the 23rd international conference on computational …, 2010
Habitual sentences and generic quantification
L Rimell
Proceedings of WCCFL 23, 663-676, 2004
Exploiting image generality for lexical entailment detection
D Kiela, L Rimell, I Vulic, S Clark
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
Porting a lexicalized-grammar parser to the biomedical domain
L Rimell, S Clark
Journal of biomedical informatics 42 (5), 852-865, 2009
Distributional lexical entailment by topic coherence
L Rimell
Proceedings of the 14th Conference of the European Chapter of the …, 2014
Adapting a lexicalized-grammar parser to contrasting domains
L Rimell, S Clark
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
RELPRON: A relative clause evaluation data set for compositional distributional semantics
L Rimell, J Maillard, T Polajnar, S Clark
Computational Linguistics 42 (4), 661-701, 2016
Scalable syntax-aware language models using knowledge distillation
A Kuncoro, C Dyer, L Rimell, S Clark, P Blunsom
arXiv preprint arXiv:1906.06438, 2019
An exploration of discourse-based sentence spaces for compositional distributional semantics
T Polajnar, L Rimell, S Clark
Proceedings of the First Workshop on Linking Computational Models of Lexical …, 2015
Nominal roots as event predicates in English denominal conversion verbs
LD Rimell
New York University, 2012
Neural generative rhetorical structure parsing
A Mabona, L Rimell, S Clark, A Vlachos
arXiv preprint arXiv:1909.11049, 2019
Multiway tensor factorization for unsupervised lexical acquisition
T Van de Cruys, L Rimell, T Poibeau, A Korhonen
COLING 2012, 2703-2720, 2012
Pretraining the noisy channel model for task-oriented dialogue
Q Liu, L Yu, L Rimell, P Blunsom
Transactions of the Association for Computational Linguistics 9, 657-674, 2021
Predicting the direction of derivation in English conversion
M Kisselew, L Rimell, A Palmer, S Padó
Proceedings of the 14th sigmorphon workshop on computational research in …, 2016
Syntactic structure distillation pretraining for bidirectional encoders
A Kuncoro, L Kong, D Fried, D Yogatama, L Rimell, C Dyer, P Blunsom
Transactions of the Association for Computational Linguistics 8, 776-794, 2020
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