Papers with information-theoretic approach

3 papers
Debiasing Methods in Natural Language Understanding Make Bias More Accessible (2021.emnlp-main)

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Challenge: Recent debiasing methods in natural language understanding improve performance on out-of-distribution datasets by pressuring models into making unbiased predictions.
Approach: They propose a general probing-based framework that allows for post-hoc interpretation of biases in language models and use an information-theoretic approach to measure the extractability of certain biase .
Outcome: The proposed framework allows for post-hoc interpretation of biases in language models and measures the extractability of certain biase .
On the Idiosyncrasies of the Mandarin Chinese Classifier System (N19-1)

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Challenge: idiosyncrasies of the Chinese classifier system have been studied, but little work has been done to quantify them with statistical methods.
Approach: They propose an information-theoretic approach to measuring idiosyncrasies in Mandarin Chinese by calculating the mutual information between the distribution over classifiers and distributions over other linguistic quantities.
Outcome: The proposed method reduces uncertainty in Mandarin Chinese classifiers by knowing semantic information about nouns that they modify.
What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels (2026.acl-long)

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Challenge: Prosody—the melody of speech—conveys critical information often not captured by the words or text of a message.
Approach: They propose an information-theoretic approach to quantify how much is conveyed by prosody that is not recoverable from text alone.
Outcome: The proposed framework can quantify how much is conveyed by prosody that is not recoverable from text alone and crucially, what prosody conveys.

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