为了简单起见：从维基百科中无监督地提取词汇简化
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
摘要：
我们报告了在提取词汇简化方面正在进行的工作（例如，“collaborate”->“work together”），重点是利用简单英语维基百科的编辑历史来完成这项任务。我们考虑两种主要方法：（1）通过考虑不同操作混合的编辑模型导出简化概率，以及（2）使用元数据来关注更可能是简化操作的编辑。我们发现我们的方法优于一个合理的基线，并产生许多高质量的词汇简化不包括在一个独立创建的手动准备的列表。
英文摘要：
We report on work in progress on extracting lexical simplifications (e.g., "collaborate" -> "work together"), focusing on utilizing edit histories in Simple English Wikipedia for this task. We consider two main approaches: (1) deriving simplification probabilities via an edit model that accounts for a mixture of different operations, and (2) using metadata to focus on edits that are more likely to be simplification operations. We find our methods to outperform a reasonable baseline and yield many high-quality lexical simplifications not included in an independently-created manually prepared list.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
