论文标题
请问你哪位？在呼叫中心成绩单上指定的实体识别法规合规性
May I Ask Who's Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance
论文作者
论文摘要
我们在新类型的用户生成的文本上使用命名实体识别进行调查：呼叫中心对话。这些对话结合了从自发的语音与问题的问题结合在一起，到新颖的语音识别，包括不正确的识别，以及来自嘈杂的用户生成的文本中的其他常见问题。使用我们自己的语料库和新的注释，训练自定义上下文字符串嵌入以及应用Bilstm-CRF，我们在新任务上匹配最先进的结果。
We investigate using Named Entity Recognition on a new type of user-generated text: a call center conversation. These conversations combine problems from spontaneous speech with problems novel to conversational Automated Speech Recognition, including incorrect recognition, alongside other common problems from noisy user-generated text. Using our own corpus with new annotations, training custom contextual string embeddings, and applying a BiLSTM-CRF, we match state-of-the-art results on our novel task.
