arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.10832cs.CL
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亨利·詹姆斯《螺丝在拧紧》中的歧义

Sensing Ambiguity in Henry James' "The Turn of the Screw"

Ben-Gurion University of the Negev(内盖夫本-古里安大学)

Victor Makarenkov, Yael Segalovitz

摘要:

语言哲学、大陆哲学和文学研究等领域长期以来一直认为,人类语言在本质上是模糊的,这种性质虽然对交流具有挑战性,但丰富了语言,并指出了人类思想的复杂性。另一方面,在NLP领域,一直在努力消除各种下游任务的歧义。这项工作将计算文本分析和文学分析结合在一起,以证明某些文本中的歧义在形成意义方面发挥着关键作用,因此需要分析而不是消除。我们重新讨论,众所周知的人文学科,关于角色的歧义在亨利詹姆斯的19世纪的中篇小说,螺丝的转动。我们模型的中篇小说的两个相互竞争的解释作为一个主题和计算证明,它们之间的二元性始终存在于整个工作和形状,而不是模糊,它的意义。我们还表明,余弦相似性和词移动的距离是足够敏感的,以检测在其最微妙的文学形式的歧义,尽管文学学者提出了相反的怀疑。我们的分析是建立在主题词列表和词嵌入从各种来源。我们首先声称,然后经验表明,计算分析和人类专家进行的仔细阅读之间的相互依赖关系。

英文摘要:

Fields such as the philosophy of language, continental philosophy, and literary studies have long established that human language is, at its essence, ambiguous and that this quality, although challenging to communication, enriches language and points to the complexity of human thought. On the other hand, in the NLP field there have been ongoing efforts aimed at disambiguation for various downstream tasks. This work brings together computational text analysis and literary analysis to demonstrate the extent to which ambiguity in certain texts plays a key role in shaping meaning and thus requires analysis rather than elimination. We revisit the discussion, well known in the humanities, about the role ambiguity plays in Henry James' 19th century novella, The Turn of the Screw. We model each of the novella's two competing interpretations as a topic and computationally demonstrate that the duality between them exists consistently throughout the work and shapes, rather than obscures, its meaning. We also demonstrate that cosine similarity and word mover's distance are sensitive enough to detect ambiguity in its most subtle literary form, despite doubts to the contrary raised by literary scholars. Our analysis is built on topic word lists and word embeddings from various sources. We first claim, and then empirically show, the interdependence between computational analysis and close reading performed by a human expert.

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。

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