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2020 – today
- 2023
[c23]Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro:
A Natural Bias for Language Generation Models. ACL (2) 2023: 243-255- 2022
- [c22]Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh
, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel:
Taxonomy of Risks posed by Language Models. FAccT 2022: 214-229 - [e4]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i11]Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro:
A Natural Bias for Language Generation Models. CoRR abs/2212.09686 (2022) - 2021
- [j7]Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom:
Pretraining the Noisy Channel Model for Task-Oriented Dialogue. Trans. Assoc. Comput. Linguistics 9: 657-674 (2021) - [c21]Kris Cao, Laura Rimell:
You should evaluate your language model on marginal likelihood over tokenisations. EMNLP (1) 2021: 2104-2114 - [i10]Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom:
Pretraining the Noisy Channel Model for Task-Oriented Dialogue. CoRR abs/2103.10518 (2021) - [i9]Kris Cao, Laura Rimell:
You should evaluate your language model on marginal likelihood over tokenisations. CoRR abs/2109.02550 (2021) - [i8]Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel:
Ethical and social risks of harm from Language Models. CoRR abs/2112.04359 (2021) - [i7]Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving:
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR abs/2112.11446 (2021) - 2020
- [j6]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics 8: 776-794 (2020) - [c20]Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Greg Wayne, Felix Hill:
Probing Emergent Semantics in Predictive Agents via Question Answering. ICML 2020: 2376-2391 - [i6]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR abs/2005.13482 (2020) - [i5]Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill:
Probing Emergent Semantics in Predictive Agents via Question Answering. CoRR abs/2006.01016 (2020)
2010 – 2019
- 2019
- [c19]Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. ACL (1) 2019: 3472-3484 - [c18]Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos:
Neural Generative Rhetorical Structure Parsing. EMNLP/IJCNLP (1) 2019: 2284-2295 - [i4]Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. CoRR abs/1906.06438 (2019) - [i3]Amandla Mabona, Laura Rimell, Stephen Clark, Andreas Vlachos:
Neural Generative Rhetorical Structure Parsing. CoRR abs/1909.11049 (2019) - 2017
- [c17]Laura Rimell, Amandla Mabona, Luana Bulat, Douwe Kiela:
Learning to Negate Adjectives with Bilinear Models. EACL (2) 2017: 71-78 - [e3]Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih:
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-62-3 [contents] - 2016
- [j5]Laura Rimell, Jean Maillard, Tamara Polajnar, Stephen Clark:
RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics. Comput. Linguistics 42(4): 661-701 (2016) - [c16]Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin:
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. ACL (1) 2016 - [c15]Laura Rimell, Eva Maria Vecchi:
SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase Representations. RepEval@ACL 2016: 140-144 - [c14]Max Kisselew, Laura Rimell, Alexis Palmer, Sebastian Padó:
Predicting the Direction of Derivation in English Conversion. SIGMORPHON 2016: 93-98 - [e2]Phil Blunsom, Kyunghyun Cho, Shay B. Cohen, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Wen-tau Yih:
Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-04-3 [contents] - [e1]Dimitrios Kartsaklis, Martha Lewis, Laura Rimell:
Proceedings of the 2016 Workshop on Semantic Spaces at the Intersection of NLP, Physics and Cognitive Science, SLPCS@QPL 2016, Glasgow, Scotland, 11th June 2016. EPTCS 221, 2016 [contents] - 2015
- [c13]Douwe Kiela, Laura Rimell, Ivan Vulic, Stephen Clark:
Exploiting Image Generality for Lexical Entailment Detection. ACL (2) 2015: 119-124 - [c12]Tamara Polajnar, Laura Rimell, Stephen Clark:
An Exploration of Discourse-Based Sentence Spaces for Compositional Distributional Semantics. LSDSem@EMNLP 2015: 1-11 - [i2]Ekaterina Vylomova, Laura Rimell, Trevor Cohn, Timothy Baldwin:
Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning. CoRR abs/1509.01692 (2015) - 2014
- [c11]Laura Rimell:
Distributional Lexical Entailment by Topic Coherence. EACL 2014: 511-519 - [c10]Sandro Bauer, Stephen Clark, Laura Rimell, Thore Graepel:
Learning a Theory of Marriage (and Other Relations) from a Web Corpus. ECIR 2014: 591-597 - [c9]Tamara Polajnar, Laura Rimell, Stephen Clark:
Evaluation of Simple Distributional Compositional Operations on Longer Texts. LREC 2014: 4440-4443 - [i1]Tamara Polajnar, Laura Rimell, Stephen Clark:
Using Sentence Plausibility to Learn the Semantics of Transitive Verbs. CoRR abs/1411.7942 (2014) - 2013
- [j4]Thomas Lippincott, Laura Rimell, Karin Verspoor, Anna Korhonen:
Approaches to verb subcategorization for biomedicine. J. Biomed. Informatics 46(2): 212-227 (2013) - [j3]Laura Rimell, Thomas Lippincott, Karin Verspoor, Helen L. Johnson, Anna Korhonen:
Acquisition and evaluation of verb subcategorization resources for biomedicine. J. Biomed. Informatics 46(2): 228-237 (2013) - [j2]Deniz Yuret, Laura Rimell, Aydin Han:
Parser evaluation using textual entailments. Lang. Resour. Evaluation 47(3): 639-659 (2013) - [c8]Tamara Polajnar, Laura Rimell, Douwe Kiela:
UCAM-CORE: Incorporating structured distributional similarity into STS. *SEM@NAACL-HLT 2013: 85-89 - 2012
- [c7]Tim Van de Cruys, Laura Rimell, Thierry Poibeau, Anna Korhonen:
Multi-way Tensor Factorization for Unsupervised Lexical Acquisition. COLING 2012: 2703-2720 - 2010
- [c6]Joakim Nivre, Laura Rimell, Ryan T. McDonald, Carlos Gómez-Rodríguez:
Evaluation of Dependency Parsers on Unbounded Dependencies. COLING 2010: 833-841 - [c5]Yue Zhang, Byung-Gyu Ahn, Stephen Clark, Curt Van Wyk, James R. Curran, Laura Rimell:
Chart Pruning for Fast Lexicalised-Grammar Parsing. COLING (Posters) 2010: 1471-1479 - [c4]Laura Rimell, Stephen Clark:
Cambridge: Parser Evaluation Using Textual Entailment by Grammatical Relation Comparison. SemEval@ACL 2010: 268-271
2000 – 2009
- 2009
- [j1]Laura Rimell, Stephen Clark:
Porting a lexicalized-grammar parser to the biomedical domain. J. Biomed. Informatics 42(5): 852-865 (2009) - [c3]Laura Rimell, Stephen Clark, Mark Steedman:
Unbounded Dependency Recovery for Parser Evaluation. EMNLP 2009: 813-821 - 2008
- [c2]Laura Rimell, Stephen Clark:
Constructing a Parser Evaluation Scheme. CF+CDPE@COLING 2008: 44-50 - [c1]Laura Rimell, Stephen Clark:
Adapting a Lexicalized-Grammar Parser to Contrasting Domains. EMNLP 2008: 475-484
Coauthor Index
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