It is my brithday

博主生日当天,妻子和孩子都未送上祝福,心情低落。到办公室后秘书记得生日并邀其午餐,之后又提议去她公寓。博主到公寓后,秘书进卧室,结果她带着博主的妻子、孩子和朋友拿着蛋糕出来,而博主当时却赤身坐在沙发上。

It is my brithday
 


  Two weeks ago was my 45th birthday, but I wasn't feeling too hot that morning anyway. I went to breakfast knowing my wife would be pleasant andsay "Happy Birthday" and probably have a present for me.


  But, she didn't even say "Good Morning," let alone any "Happy Birthday."

  I thought, well...that's a wife for you. I guess, the children will remember. Then, the children came into breakfast, but, they didn'tsay a word.

  When I started to the office, I was feeling pretty low and despondent. As I walked into my office, my secretary Janet said, "Good morning,Boss, happy birthday." And I felt a little better,someone had remembered.

  I worked until noon. Then, Janet knocked on my door and said, "You know, it's such a beautifulday outside, and it's your birthday, let's goto lunch, just you and me."

  I said, "That's the greatest thing I've heardall day. Let's go."

  So, we went to lunch. We didn't go where we normally go. We went out into the country to a little private place. We had two martinis and enjoyed lunch tremendously.

  On the way back to the office, Janet said,"You know, it's such a beautiful day. We don't need to go back to the office, do we?"

  I said, "No, I guess not."

  She said, "Let's go to my apartment."

  After arriving at her apartment, she said,"Boss, if you don't mind, I think I'll go in to the bedroom, and slip into something more comfortable."

  "Sure," I excitedly replied.

  Janet went into the bedroom and, in about sixminutes, she came out carrying a big birthday cake, followed by my wife, children and dozens of my friends. All were singing "Happy Birthday".. and there I sat on the couch ... naked. :(
 

Nano-ESG数据资源库的构建基于2023年初至2024年秋季期间采集的逾84万条新闻文本,从中系统提炼出企业环境、社会及治理维度的信息。其构建流程首先依据特定术语在德语与英语新闻平台上检索,初步锁定与德国DAX 40成分股企业相关联的报道。随后借助嵌入技术对文本段落执行去重操作,以降低内容冗余。继而采用GLiNER这一跨语言零样本实体识别系统,排除与目标企业无关的文档。在此基础上,通过GPT-3.5与GPT-4o等大规模语言模型对文本进行双重筛选:一方面判定其与ESG议题的相关性,另一方面生成简明的内容概要。最终环节由GPT-4o模型完成,它对每篇文献进行ESG情感倾向(正面、中性或负面)的判定,并标注所涉及的ESG具体维度,从而形成具备时序特征的ESG情感与维度标注数据集。 该数据集适用于多类企业可持续性研究,例如ESG情感趋势分析、ESG维度细分类别研究,以及企业可持续性事件的时序演变追踪。研究者可利用数据集内提供的新闻摘要、情感标签与维度分类,深入考察企业在不同时期的环境、社会及治理表现。此外,借助Bertopic等主题建模方法,能够从数据中识别出与企业相关的核心ESG议题,并观察这些议题随时间的演进轨迹。该资源以其开放获取特性与连续的时间覆盖,为探究企业可持续性表现的动态变化提供了系统化的数据基础。 资源来源于网络分享,仅用于学习交流使用,请勿用于商业,如有侵权请联系我删除!
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