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Leveraging Lead Bias for Zero-shot Abstractive News Summarization
Chenguang Zhu, Ziyi Yang, Robert Gmyr +2
A typical journalistic convention in news articles is to deliver the most salient information in the beginning, also known as the lead bias. While this phenomenon can be exploited…
SIM: A Slot-Independent Neural Model for Dialogue State Tracking
Chenguang Zhu, Michael Zeng, Xuedong Huang
Dialogue state tracking is an important component in task-oriented dialogue systems to identify users' goals and requests as a dialogue proceeds. However, as most previous models a…
Meeting Transcription Using Virtual Microphone Arrays
Takuya Yoshioka, Zhuo Chen, Dimitrios Dimitriadis +4
We describe a system that generates speaker-annotated transcripts of meetings by using a virtual microphone array, a set of spatially distributed asynchronous recording devices suc…
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
Chenguang Zhu, Michael Zeng, Xuedong Huang
Conversational question answering (CQA) is a novel QA task that requires understanding of dialogue context. Different from traditional single-turn machine reading comprehension (MR…