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1
How Efficiency Shapes Human Language
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 ...
Abstract: Because meaning can often be inferred from lexical semantics alone, word order is often a redundant cue in natural language. For example, the words chopped, chef, and onion are more likely used to convey "The chef chopped the onion," not "The onion chopped the chef." Recent work has shown large language models to be surprisingly word order invariant, but crucially has largely considered natural prototypical inputs, where compositional meaning mostly matches lexical expectations. To overcome this confound, we probe grammatical role representation in English BERT and GPT-2, on instances where lexical expectations are not sufficient, and word order knowledge is necessary for correct classification. Such non-prototypical instances are naturally occurring English sentences with inanimate subjects or animate objects, or sentences where we systematically swap the arguments to make sentences like "The onion chopped the chef". We find that, while early layer embeddings are largely lexical, word order is in fact ... : ACL 2022 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2203.06204
https://dx.doi.org/10.48550/arxiv.2203.06204
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3
Grammatical cues are largely, but not completely, redundant with word meanings in natural language ...
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4
When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters
In: Proceedings of the Society for Computation in Linguistics (2022)
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5
Efficient communication and the organization of the lexicon
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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6
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ...
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7
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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8
Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT ...
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9
Multilingual BERT, Ergativity, and Grammatical Subjecthood ...
Papadimitriou, Isabel; Chi, Ethan A.; Futrell, Richard. - : University of Massachusetts Amherst, 2021
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10
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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11
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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12
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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13
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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14
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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15
Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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16
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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17
REPLICATING A FUNDAMENTAL FINDING IN PSYCHOLINGUISTICS: SYNTACTIC PRIMING ...
Mahowald, Kyle. - : Open Science Framework, 2021
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18
How (Non-)Optimal is the Lexicon? ...
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19
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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20
How (Non-)Optimal is the Lexicon? ...
NAACL 2021 2021; Blasi, Damián; Cotterell, Ryan. - : Underline Science Inc., 2021
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