@inbook{tur2011human,
author = {Tur, Gokhan and Hakkani-Tür, Dilek},
title = {Human/Human Conversation Understanding},
booktitle = {Spoken Language Understanding - Systems for Extracting Semantic Information from Speech},
year = {2011},
month = {January},
abstract = {While the term spoken language understanding mostly refers to the understanding of spoken utterances directed at machines, as they are more constrained, recent progress in recognition and understanding the human/human conversations and multi-party meetings is not negligible. While there is significant amount of previous work on discourse processing especially in social sciences (such as in the field of conversation analysis), processing human/human conversations is a relatively newer area for spoken language processing. In this chapter we focus on two-party and multi-party human/human conversation understanding approaches, mainly focusing on  discourse modeling, speech act modeling, and argument diagramming. We also try to point the bridge studies using human/human conversations for building better human/machine conversational systems or using the approaches for human/machine understanding for better human/human understanding and vice versa.},
publisher = {Wiley},
url = {http://approjects.co.za/?big=en-us/research/publication/humanhuman-conversation-understanding/},
edition = {Spoken Language Understanding - Systems for Extracting Semantic Information from Speech},
}