Sound of silence

昨天上英语课,老外Erik播放了Folk音乐《The Sound of Silence》,歌曲中蕴含的深意与英语教学结合,激发学生思考与表达。歌词探讨了沉默的力量、沟通的困境以及现代社会中人们之间的疏离感。

Folk Music

昨天上英语课,那个老外Erik让我们听的歌,他很好,说的我大多能听懂,可惜我水平还不够,第一次上课

有点跟不上节奏,不过我会努力的,尽量多学,让自己更好,听的懂,看的懂,最好能唱出来哈啊哈

hello darkness my old friend.
I've come to talk with you again.
because a vision softly creeping
left its seeds while I was sleeping.
and the vision that was planted in my brain
still remains with the sound of silence

In restless dreams I walk alone
narrow streets of cobblestone
Neath the halo of a street lamp,
I turned my collar to the cold and damp
when my eyes were stabbled by the flash of a neon light
that split the night
and touched the sound of silence

And in the naked night I saw ten thousand people may be more
people talking without speaking
people hearing without listening
people writing songs that voices never share
No one dare disturb the sound of silence

"Fool" said I "you do not know
silence like a cancer grows
hear my words that I might teach you
take my arms that I might reach you
but my words like silent rain-drops fell
and echoed in the wells of silence

And the people bowed and prayed
to the neon god they made
and the sign flashed out its warning
In the words that it was forming
and the sings said "the words of the prophets are
written on the subway walls and tenement halls"
and whispered in the sounds of silence


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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