Oh, Jeez! Or Uh-Huh? A Listener-Aware Backchannel Predictor On Asr Transcriptions

This paper presents our latest investigation on modeling backchannel in conversations. Motivated by a proactive backchanneling theory, we aim at developing a system which acts as a proactive listener by inserting backchannels, such as continuers and asses
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