发明者
Noa Haas, Alexander Zicharevich, Oren Sar Shalom, Adi Shalev
发表日期
2022/8/23
专利局
US
专利号
11423900
专利申请号
16836886
简介
Systems and methods for automatically identifying problem-relevant sentences in a transcript are disclosed. In an example method, a transcript may be received of a first support call. A region of the first support call transcript may be identified, and first customer utterances may be detected in the region using a trained classification model. A trained regression model may estimate a relevancy to the problem statement of each of the first customer utterances, and one or more most problem-relevant statements may be selected from the first customer utterances, based on the estimated relevancies.
学术搜索中的文章
N Haas, A Zicharevich, OS Shalom, A Shalev - US Patent 11,423,900, 2022