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1
Evaluation of Summarization Systems across Gender, Age, and Race ...
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2
Locke's Holiday: Belief Bias in Machine Reading ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.649/ Abstract: I highlight a simple failure mode of state-of- the-art machine reading systems: when contexts do not align with commonly shared beliefs. For example, machine reading systems fail to answer "What did Elizabeth want?" correctly in the context of ’My kingdom for a cough drop, cried Queen Elizabeth.’ Biased by co-occurrence statistics in the training data of pretrained language models, systems predict 'my kingdom', rather than 'a cough drop'. I argue such biases are analogous to human belief biases and present a carefully designed challenge dataset for English machine reading, called AUTO-LOCKE, to quantify such effects. Evaluations of machine reading systems on AUTO-LOCKE show the pervasiveness of be- lief bias in machine reading. ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/37792-locke's-holiday-belief-bias-in-machine-reading
https://dx.doi.org/10.48448/t4tt-2j38
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3
Dynamic Forecasting of Conversation Derailment ...
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4
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color ...
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5
A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ...
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6
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization ...
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7
The Impact of Positional Encodings on Multilingual Compression ...
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8
On Language Models for Creoles ...
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