A Recorded Debating Dataset

LREC 2018 Shachar MirkinMichal JacoviTamar LaveeHong-Kwang KuoSamuel ThomasLeslie SagerLili KotlermanElad VenezianNoam Slonim

This paper describes an English audio and textual dataset of debating speeches, a unique resource for the growing research field of computational argumentation and debating technologies. We detail the process of speech recording by professional debaters, the transcription of the speeches with an Automatic Speech Recognition (ASR) system, their consequent automatic processing to produce a text that is more "NLP-friendly", and in parallel -- the manual transcription of the speeches in order to produce gold-standard "reference" transcripts... (read more)

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