activity
20172019
most cited"How May I Help You?": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts

19 citations · 19 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CL2019

An Empirical Study of Factors Affecting Language-Independent Models

Xiaotong Liu, Yingbei Tong, Anbang Xu +1

Scaling existing applications and solutions to multiple human languages has traditionally proven to be difficult, mainly due to the language-dependent nature of preprocessing and f…

cs.LG2018

Characterizing machine learning process: A maturity framework

Rama Akkiraju, Vibha Sinha, Anbang Xu +5

Academic literature on machine learning modeling fails to address how to make machine learning models work for enterprises. For example, existing machine learning processes cannot…

cs.AI2018

Challenge AI Mind: A Crowd System for Proactive AI Testing

Siwei Fu, Anbang Xu, Xiaotong Liu +2

Artificial Intelligence (AI) has burrowed into our lives in various aspects; however, without appropriate testing, deployed AI systems are often being criticized to fail in critica…

cs.CL2018

Don't get Lost in Negation: An Effective Negation Handled Dialogue Acts Prediction Algorithm for Twitter Customer Service Conversations

Mansurul Bhuiyan, Amita Misra, Saurabh Tripathy +2

In the last several years, Twitter is being adopted by the companies as an alternative platform to interact with the customers to address their concerns. With the abundance of such…

cs.HC2018

Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media

Tianran Hu, Anbang Xu, Zhe Liu +5

Chatbot has become an important solution to rapidly increasing customer care demands on social media in recent years. However, current work on chatbot for customer care ignores a k…

cs.CL201719 cited

"How May I Help You?": Modeling Twitter Customer Service Conversations Using Fine-Grained Dialogue Acts

Shereen Oraby, Pritam Gundecha, Jalal Mahmud +2

Given the increasing popularity of customer service dialogue on Twitter, analysis of conversation data is essential to understand trends in customer and agent behavior for the purp…