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Language, Brains & Interpretability ...
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Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations ...
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3
Artificial Grammar Learning in children, adults, animals and machines
In: ISSN: 1756-8757 ; EISSN: 1756-8765 ; Topics in cognitive science ; https://hal.archives-ouvertes.fr/hal-02877137 ; Topics in cognitive science, Wiley, 2020 (2020)
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4
DoLFIn: Distributions over Latent Features for Interpretability ...
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5
Mode classification and natural units in plainchant ...
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6
Mode classification and natural units in plainchant ...
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7
Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains ...
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8
Formal models of structure building in music, language, and animal song
In: The origins of musicality (Cambridge, 2018), p. 253-286
MPI für Psycholinguistik
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9
Five fundamental constraints on theories of the origins of music
In: The origins of musicality (Cambridge, 2018), p. 49-80
MPI für Psycholinguistik
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10
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information ...
Abstract: How do neural language models keep track of number agreement between subject and verb? We show that `diagnostic classifiers', trained to predict number from the internal states of a language model, provide a detailed understanding of how, when, and where this information is represented. Moreover, they give us insight into when and where number information is corrupted in cases where the language model ends up making agreement errors. To demonstrate the causal role played by the representations we find, we then use agreement information to influence the course of the LSTM during the processing of difficult sentences. Results from such an intervention reveal a large increase in the language model's accuracy. Together, these results show that diagnostic classifiers give us an unrivalled detailed look into the representation of linguistic information in neural models, and demonstrate that this knowledge can be used to improve their performance. ... : Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1808.08079
https://arxiv.org/abs/1808.08079
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11
Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity ...
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12
Analyzing the Structure of Bird Vocalizations and Language: Finding Common Ground
In: Birdsong, speech, and language : exploring the evolution of mind and brain (2016), S. 243-260
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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13
Analyzing the structure of bird vocalizations and language : finding common ground
In: Birdsong, speech and language (Cambridge, 2013), p. 243-260
MPI für Psycholinguistik
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14
Modeling in the language sciences
In: Research methods in linguistics (Cambridge, 2013), p. 422-439
MPI für Psycholinguistik
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15
Analyzing the structure of bird vocalizations and language : finding common ground
In: Birdsong, speech and language (Cambridge, 2013), p. 243-260
MPI für Psycholinguistik
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16
Three design principles of language: the search for parsimony in redundancy
In: Language and speech. - London [u.a.] : Sage Publ. 56 (2013) 3, 265-290
BLLDB
OLC Linguistik
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17
What are the unique design features of language? Formal tools for comparative claims
In: Adaptive behavior. - Thousand Oaks, Calif. : Sage 18 (2010) 1, 48-65
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18
The evolution of combinatorial phonology
In: Journal of phonetics. - Amsterdam : Elsevier 37 (2009) 2, 125-144
BLLDB
OLC Linguistik
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19
Children's grammars grow more abstract with age - evidence from an automatic procedure for identifying the productive units of language
In: Topics in cognitive science. - Hoboken, NJ [u.a.] : Wiley 1 (2009) 1, 175-188
BLLDB
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20
Children's Grammars Grow More Abstract with Age — Evidence from an Automatic Procedure for Identifying the Productive Units of Language
In: Topics in cognitive science. - Hoboken, NJ [u.a.] : Wiley 1 (2009) 1, 175-188
OLC Linguistik
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