26 citations · 59 across the 7 of their papers we have counts for
8 papers
Analyzing and Learning from User Interactions for Search Clarification
Hamed Zamani, Bhaskar Mitra, Everest Chen +5
Asking clarifying questions in response to search queries has been recognized as a useful technique for revealing the underlying intent of the query. Clarification has applications…
Learning with Weak Supervision for Email Intent Detection
Kai Shu, Subhabrata Mukherjee, Guoqing Zheng +3
Email remains one of the most frequently used means of online communication. People spend a significant amount of time every day on emails to exchange information, manage tasks and…
Characterizing Reading Time on Enterprise Emails
Xinyi Li, Chia-Jung Lee, Milad Shokouhi +1
Email is an integral part of people's work and life, enabling them to perform activities such as communicating, searching, managing tasks and storing information. Modern email clie…
Meta Label Correction for Noisy Label Learning
Guoqing Zheng, Ahmed Hassan Awadallah, Susan Dumais
Leveraging weak or noisy supervision for building effective machine learning models has long been an important research problem. Its importance has further increased recently due t…
Detecting Fake News with Weak Social Supervision
Kai Shu, Ahmed Hassan Awadallah, Susan Dumais +1
Limited labeled data is becoming the largest bottleneck for supervised learning systems. This is especially the case for many real-world tasks where large scale annotated examples…
Characterizing and Predicting Email Deferral Behavior
Bahareh Sarrafzadeh, Ahmed Hassan Awadallah, Christopher H. Lin +3
Email triage involves going through unhandled emails and deciding what to do with them. This familiar process can become increasingly challenging as the number of unhandled email g…