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Towards Interactive Language Modeling ...
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Language Models Use Monotonicity to Assess NPI Licensing ...
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Language Modelling as a Multi-Task Problem ...
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4
How BPE Affects Memorization in Transformers ...
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Causal Transformers Perform Below Chance on Recursive Nested Constructions, Unlike Humans ...
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Sparse Interventions in Language Models with Differentiable Masking ...
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7
Language Models Use Monotonicity to Assess NPI Licensing ...
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Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network ...
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Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.230/ Abstract: A possible explanation for the impressive performance of masked language model (MLM) pre-training is that such models have learned to represent the syntactic structures prevalent in classical NLP pipelines. In this paper, we propose a different explanation: MLMs succeed on downstream tasks almost entirely due to their ability to model higher-order word co-occurrence statistics. To demonstrate this, we pre-train MLMs on sentences with randomly shuffled word order, and show that these models still achieve high accuracy after fine-tuning on many downstream tasks -- including on tasks specifically designed to be challenging for models that ignore word order. Our models perform surprisingly well according to some parametric syntactic probes, indicating possible deficiencies in how we test representations for syntactic information. Overall, our results show that purely distributional information largely explains the success of ...
Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://dx.doi.org/10.48448/3r0a-fw32
https://underline.io/lecture/37423-masked-language-modeling-and-the-distributional-hypothesis-order-word-matters-pre-training-for-little
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10
Mechanisms for Handling Nested Dependencies in Neural-Network Language Models and Humans ...
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11
Assessing incrementality in sequence-to-sequence models ...
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12
Compositionality decomposed: how do neural networks generalise? ...
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13
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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14
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information ...
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15
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items ...
Jumelet, Jaap; Hupkes, Dieuwke. - : arXiv, 2018
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16
The time course of verb processing in Dutch sentences
In: Journal of psycholinguistic research. - New York, NY ; London [u.a.] : Springer 38 (2009) 3, 181-199
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OLC Linguistik
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17
Auditory Sentence Processing an Introduction
In: Journal of psycholinguistic research. - New York, NY ; London [u.a.] : Springer 38 (2009) 3, 177-180
OLC Linguistik
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18
The Time Course of Verb Processing in Dutch Sentences
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19
Verbs in spoken sentence processing : unraveling the activation pattern of the matrix verb
Goede, Dieuwke de. - Groningen : Rijksuniversiteit Groningen, 2006
MPI für Psycholinguistik
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20
The time course of verb processing in Dutch sentences
In: http://www.cogsci.northwestern.edu/cogsci2004/papers/paper389.pdf (2004)
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