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Anh-Duc Vu

2 accepted papers

2024

What Do Transformers Know about Government?

COLING 2024main

This paper investigates what insights about linguistic features and what knowledge about the structure of natural language can be obtained from the encodings in transformer language models. In particular, we explore how BERT encodes the government relation between constituents in a sentence. We use…

2023

Effects of sub-word segmentation on performance of transformer language models

EMNLP 2023long main

Language modeling is a fundamental task in natural language processing, which has been thoroughly explored with various architectures and hyperparameters. However, few studies focus on the effect of sub-word segmentation on the performance of language models (LMs). In this paper, we compare GPT an…

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