利用社会-时间语境诱导群体内语言词典
Inducing lexicons of in-group language with socio-temporal context
AI总结:
本文提出融合社会-时间语境的群体内语言词典诱导方法,利用动态词与用户嵌入在反女性社区数据上超越现有方法,并构建了经专家验证的男圈语言词典。
摘要:
群体内语言是群体动态的重要标志。本文提出了一种诱导群体内语言词典的新方法,该方法融合了其社会-时间语境。现有的词典诱导方法既无法捕捉群体内语言的演变特性,也无法捕捉社区的社会结构。利用在在线反女性社区对话上训练的动态词嵌入和用户嵌入,我们的方法在词典诱导任务上优于先前的方法。我们为词典诱导任务构建了一个测试集,并构建了一个经人类专家验证的新的“男圈”(manosphere)语言词典,该词典量化了每个术语在给定时间点与特定子社区的相关性。最后,我们提出了关于群体内语言的新见解,展示了该方法的实用性。
英文摘要:
In-group language is an important signifier of group dynamics. This paper proposes a novel method for inducing lexicons of in-group language, which incorporates its socio-temporal context. Existing methods for lexicon induction do not capture the evolving nature of in-group language, nor the social structure of the community. Using dynamic word and user embeddings trained on conversations from online anti-women communities, our approach outperforms prior methods for lexicon induction. We develop a test set for the task of lexicon induction and a new lexicon of manosphere language, validated by human experts, which quantifies the relevance of each term to a specific sub-community at a given point in time. Finally, we present novel insights on in-group language which illustrate the utility of this approach.
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