Summary of Low-cost Generation and Evaluation Of Dictionary Example Sentences, by Bill Cai et al.
Low-Cost Generation and Evaluation of Dictionary Example Sentences
by Bill Cai, Clarence Boon Liang Ng, Daniel Tan, Shelvia Hotama
First submitted to arxiv on: 9 Apr 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed method leverages rapid advancements in foundational models to develop a low-cost, zero-shot approach for generating and evaluating dictionary example sentences. By introducing the OxfordEval metric, which measures the win-rate of generated sentences against existing Oxford Dictionary sentences, the study enables large-scale automated quality evaluation. The authors experiment with various language models and configurations to generate dictionary sentences across word classes, ultimately achieving an over 85.1% win rate against Oxford baseline sentences using the FM-MLM model. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A group of researchers has developed a new way to help create example sentences for dictionaries. They used special computer models that can learn from large amounts of text data. The goal was to make it easier and less expensive to generate good-quality sentence examples. To evaluate how well these generated sentences are, the team created a new metric called OxfordEval. This metric compares the generated sentences against existing dictionary sentences. By using this metric, they were able to automatically check the quality of the generated sentences on a large scale. The researchers also tested different models and settings to see which one worked best for generating sentence examples. Their method, called FM-MLM, did very well, beating previous methods by a significant margin. |
Keywords
» Artificial intelligence » Zero shot
