Automatic Detection of Nonreferential It in Spoken Multi-Party Dialog

We present an implemented machine learning system for the automatic detection of nonreferential it in spoken dialog. The system builds on shallow features extracted from dialog transcripts. Our experiments indicate a level of performance that makes the system usable as a preprocessing filter for a coreference resolution system. We also report results of an annotation study dealing with the classification of it by naive subjects.

• Type: Conference
• Year: 2006
• Where: EACL
• Authors: Christoph Müller
• Keywords: Coreference Resolution System, Dialog Transcripts, EACL 2006, Natural Language Processing, Spoken Dialog