DEBISS：个体、半结构化和口语辩论语料库
DEBISS: a Corpus of Individual, Semi-structured and Spoken Debates
AI总结：
本文提出DEBISS语料库，包含半结构化口语辩论，用于支持多种NLP任务，如语音转文本、说话人识别、论点挖掘和辩论者质量评估。
摘要：
辩论过程在我们的日常生活中至关重要，无论是在学习、工作活动、日常简单讨论、电视政治辩论还是社交媒体上的在线讨论。辩论的应用范围广泛。由于辩论的应用、结构和格式各不相同，开发能够涵盖这些变化的语料库具有挑战性，而目前的辩论语料库稀缺。为此，本文提出了DEBISS语料库：一个包含口语和个体辩论的语料库，具有半结构化特征。该语料库包含广泛适用于多种NLP任务的标注，如语音转文本、说话人识别、论点挖掘和辩论者质量评估。
英文摘要：
The process of debating is essential in our daily lives, whether in studying, work activities, simple everyday discussions, political debates on TV, or online discussions on social networks. The range of uses for debates is broad. Due to the diverse applications, structures, and formats of debates, developing corpora that account for these variations can be challenging, and the scarcity of debate corpora in the state of the art is notable. For this reason, the current research proposes the DEBISS corpus: a collection of spoken and individual debates with semi-structured features. With a broad range of NLP task annotations, such as speech-to-text, speaker diarization, argument mining, and debater quality assessment.
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。
