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Hits 61 – 80 of 163

61
Differentiable subset pruning of transformer heads
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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62
Parameter space factorization for zero-shot learning across tasks and languages
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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63
Disambiguatory Signals are Stronger in Word-initial Positions
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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64
Searching for More Efficient Dynamic Programs
In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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65
How (Non-)Optimal is the Lexicon?
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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66
A Bayesian Framework for Information-Theoretic Probing
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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67
Examining the Inductive Bias of Neural Language Models with Artificial Languages
In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (2021)
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68
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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69
How (Non-)Optimal is the Lexicon? ...
NAACL 2021 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021
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70
A Cognitive Regularizer for Language Modeling ...
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71
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing ...
Hall Maudslay, Rowan; Cotterell, Ryan. - : ETH Zurich, 2021
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72
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing ...
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73
A Non-Linear Structural Probe ...
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74
A Cognitive Regularizer for Language Modeling ...
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75
How (Non-)Optimal is the Lexicon? ...
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76
Disambiguatory Signals are Stronger in Word-initial Positions ...
Pimentel, Tiago; Cotterell, Ryan; Roark, Brian. - : ETH Zurich, 2021
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77
Finding Concept-specific Biases in Form--Meaning Associations ...
NAACL 2021 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021
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78
Backtranslation feedback improves user confidence in MT, not quality
Abstract: This is an accepted manuscript of an article published by ACL in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 21). in June 2021. The accepted version of the publication may differ from the final published version. ; Translating text into a language unknown to the text’s author, dubbed outbound translation, is a modern need for which the user experience has significant room for improvement, beyond the basic machine translation facility. We demonstrate this by showing three ways in which user confidence in the outbound translation, as well as its overall final quality, can be affected: backward translation, quality estimation (with alignment) and source paraphrasing. In this paper, we describe an experiment on outbound translation from English to Czech and Estonian. We examine the effects of each proposed feedback module and further focus on how the quality of machine translation systems influence these findings and the user perception of success. We show that backward translation feedback has a mixed effect on the whole process: it increases user confidence in the produced translation, but not the objective quality.
URL: http://hdl.handle.net/2436/624021
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79
On the Relationships Between the Grammatical Genders of Inanimate Nouns and Their Co-Occurring Adjectives and Verbs ...
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80
Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model ...
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