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How Efficiency Shapes Human Language
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In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022)
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When classifying grammatical role, BERT doesn't care about word order... except when it matters ...
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Grammatical cues are largely, but not completely, redundant with word meanings in natural language ...
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When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Efficient communication and the organization of the lexicon
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In: OUP volume on the Mental Lexicon ; https://hal.archives-ouvertes.fr/hal-03482414 ; OUP volume on the Mental Lexicon, In press, ⟨10.31234/osf.io/4an6v⟩ (2021)
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Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT ...
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Abstract:
We investigate how Multilingual BERT (mBERT) encodes grammar by examining how the high-order grammatical feature of morphosyntactic alignment (how different languages define what counts as a "subject") is manifested across the embedding spaces of different languages. To understand if and how morphosyntactic alignment affects contextual embedding spaces, we train classifiers to recover the subjecthood of mBERT embeddings in transitive sentences (which do not contain overt information about morphosyntactic alignment) and then evaluate them zero-shot on intransitive sentences (where subjecthood classification depends on alignment), within and across languages. We find that the resulting classifier distributions reflect the morphosyntactic alignment of their training languages. Our results demonstrate that mBERT representations are influenced by high-level grammatical features that are not manifested in any one input sentence, and that this is robust across languages. Further examining the characteristics that ... : EACL 2021 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2101.11043 https://dx.doi.org/10.48550/arxiv.2101.11043
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Multilingual BERT, Ergativity, and Grammatical Subjecthood ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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REPLICATING A FUNDAMENTAL FINDING IN PSYCHOLINGUISTICS: SYNTACTIC PRIMING ...
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How (Non-)Optimal is the Lexicon?
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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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