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1
Estimating the Entropy of Linguistic Distributions ...
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2
On Homophony and Rényi Entropy ...
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3
On Homophony and Rényi Entropy ...
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4
On Homophony and Rényi Entropy ...
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5
Searching for Search Errors in Neural Morphological Inflection ...
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6
Revisiting the Uniform Information Density Hypothesis ...
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7
Revisiting the Uniform Information Density Hypothesis ...
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8
Conditional Poisson Stochastic Beams ...
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9
Language Model Evaluation Beyond Perplexity ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.414 Abstract: We propose an alternate approach to quantifying how well language models learn natural language: we ask how well they match the statistical tendencies of natural language. To answer this question, we analyze whether text generated from language models exhibits the statistical tendencies present in the human-generated text on which they were trained. We provide a framework--paired with significance tests--for evaluating the fit of language models to these trends. We find that neural language models appear to learn only a subset of the tendencies considered, but align much more closely with empirical trends than proposed theoretical distributions (when present). Further, the fit to different distributions is highly-dependent on both model architecture and generation strategy. As concrete examples, text generated under the nucleus sampling scheme adheres more closely to the type--token relationship of natural language than text produced using ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/25838-language-model-evaluation-beyond-perplexity
https://dx.doi.org/10.48448/jr48-6p89
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10
A surprisal--duration trade-off across and within the world's languages ...
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11
Determinantal Beam Search ...
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12
Is Sparse Attention more Interpretable? ...
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13
Revisiting the Uniform Information Density Hypothesis ...
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14
A Plug-and-Play Method for Controlled Text Generation ...
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15
Language Model Evaluation Beyond Perplexity ...
Meister, Clara Isabel; Cotterell, Ryan. - : ETH Zurich, 2021
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16
Determinantal Beam Search ...
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17
Is Sparse Attention more Interpretable? ...
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18
A Cognitive Regularizer for Language Modeling ...
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19
A Cognitive Regularizer for Language Modeling ...
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20
A Cognitive Regularizer for Language Modeling ...
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