https://scholars.lib.ntu.edu.tw/handle/123456789/581358
Title: | Enhancing Intent Detection in Customer Service with Social Media Data | Authors: | Huang J Liou Y.-R Chen H.-H. HSIN-HSI CHEN |
Keywords: | Social networking (online); World Wide Web; Customer services; Dialog systems; Financial industry; High quality service; Intent detection; Self-training approaches; Social media; Social media datum; Service industry | Issue Date: | 2021 | Start page/Pages: | 274-275 | Source: | The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021 | Abstract: | Intent detection plays an important role in customer service dialog systems for providing high-quality service in the financial industry. The lack of publicly available datasets and high annotation cost are two challenging issues in this research direction. To overcome these challenges, we propose a social media enhanced self-Training approach for intent detection by using label names only. The experimental results show the effectiveness of the proposed method. ? 2021 ACM. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107675583&doi=10.1145%2f3442442.3451377&partnerID=40&md5=d09357c474e542e7dd70024cdfe50ee1 https://scholars.lib.ntu.edu.tw/handle/123456789/581358 |
DOI: | 10.1145/3442442.3451377 |
Appears in Collections: | 資訊工程學系 |
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