Papers by Ng Clarence

1 papers
Low-Cost Generation and Evaluation of Dictionary Example Sentences (2024.naacl-long)

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Challenge: Prior studies have shown that language models can be trained to generate example sentences, but they relied on costly customized models and word sense datasets for generation and evaluation.
Approach: They propose a new automatic evaluation metric called OxfordEval that measures the win-rate of generated sentences against existing Oxford Dictionary sentences.
Outcome: The proposed model achieves over 85.1% win rate against baseline sentences compared to 39.8% win rate for prior model-generated sentences.

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