图 书 馆
从政治演讲自动记录中提取参考文献Extracting references from political speech auto-transcripts |
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| 课程网址: | https://videolectures.net/videos/kdd2017_roberts_political_speech |
| 主讲教师: | Brandon Roberts |
| 开课单位: | KDD 2017研讨会 |
| 开课时间: | 2017-12-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper presents an unsupervised method for counting references in noisy auto-transcribed political speeches. Transcriptions are vectorized using learned embeddings which are then clustered using k-means resulting in groups of words which represent highly granular, specific topics within the text. Words from each cluster are then extracted from each transcript, counted, and arranged for time-series analysis. The approach finds semantically coherent topics representing specific references despite transcription inaccuracies. We use this framework to extract references from over 400 political speech transcriptions from a 2016 U.S. presidential campaign. |
| 关 键 词: | 政治演讲; 自动记录; 参考文献 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2024-11-10：liyq |
| 最后编审: | 2024-11-10：liyq |
| 阅读次数: | 3 |