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议会议事录辩论演讲集

A Sentiment-labelled Corpus of Hansard Parliamentary Debate Speeches
课程网址: http://videolectures.net/parlaCLARIN2018_abercrombie_debate_speec...  
主讲教师: Gavin Abercrombie
开课单位: 曼彻斯特大学
开课时间: 2018-05-30
课程语种: 英语
中文简介:
会议记录提供了议员们对许多重要问题的意见,但人们很难有效处理。立法会议事录辩论中用于情绪分析的现有语料库依赖于发言者的投票作为情绪极性标签,但众所周知,这些投票受到发言者所属政党的限制。在两轮手动注释中,我们开发了一个注释方案,并创建了一个新的语料库,用于自动情感分析系统的评估,该系统使用自动和手动应用的语音情感类标签。在观察了辩论动议(提案)中不同情绪极性对言语情绪的影响后,我们还将情绪标签应用于辩论动议。我们发现,在这些辩论中,人类能够在识别情绪极性方面达成高度一致,而且手动应用和自动检索的类别标签也有所不同,这表明演讲内容并不总是反映议会议员的投票行为。
课程简介: Hansard transcripts provide access to the opinions of MPs on many important issues, but are rather difficult for people to effectively process. Existing corpora for sentiment analysis in Hansard debates rely on speakers' votes as sentiment polarity labels, but these votes are known to be constrained by speakers' party affiliations. Over two rounds of manual annotation, we develop an annotation scheme and create a novel corpus designed for use in the evaluation of automatic sentiment analysis systems using both automatically and manually applied speech sentiment polarity class labels. Following observations of the effects on speech sentiment of differing sentiment polarities in debate motions (proposals), we also apply sentiment labels to the debate motions. We find that humans are able to reach high agreement in identifying sentiment polarity in these debates, and also that manually applied and automatically retrieved class labels differ somewhat, suggesting that speech content does not always reflect the voting behaviour of Members of the Parliament.
关 键 词: 会议记录; 会议事录辩论; 自动情感分析系统
课程来源: 视频讲座网
数据采集: 2021-12-26:zkj
最后编审: 2021-12-26:zkj
阅读次数: 55