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Akihiro Nakamura

2 accepted papers

2024

Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex

AISTATS 2024poster

Classification models based on deep neural networks (DNNs) must be calibrated to measure the reliability of predictions. Some recent calibration methods have employed a probabilistic model on the probability simplex. However, these calibration methods cannot preserve the accuracy of pre-trained mode…

2022

Enhancing Contextual Word Representations Using Embedding of Neighboring Entities in Knowledge Graphs

COLING 2022main

Pre-trained language models (PLMs) such as BERT and RoBERTa have dramatically improved the performance of various natural language processing tasks. Although these models are trained on large amounts of raw text, they have no explicit grounding in real-world entities. Knowledge graphs (KGs) are manu…