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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 ...
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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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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 ...
Abstract: Creole languages such as Nigerian Pidgin English and Haitian Creole are under-resourced and largely ignored in the NLP literature. Creoles typically result from the fusion of a foreign language with multiple local languages, and what grammatical and lexical features are transferred to the creole is a complex process. While creoles are generally stable, the prominence of some features may be much stronger with certain demographics or in some linguistic situations. This paper makes several contributions: We collect existing corpora and release models for Haitian Creole, Nigerian Pidgin English, and Singaporean Colloquial English. We evaluate these models on intrinsic and extrinsic tasks. Motivated by the above literature, we compare standard language models with distributionally robust ones and find that, somewhat surprisingly, the standard language models are superior to the distributionally robust ones. We investigate whether this is an effect of over-parameterization or relative distributional stability, ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing
URL: https://underline.io/lecture/39854-on-language-models-for-creoles
https://dx.doi.org/10.48448/5t1r-xn60
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