Chat language is often referred to as Computer-mediated communication (CMC). Most of the previous studies on chat language has been dedicated to collecting”chat room” data as it is the kind of data which is the most accessible on the WEB. This kind of data falls under the informal register whereas we are interested in this paper in understanding the mechanisms of a more formal kind of CMC: dialog chat in contact centers. The particularities of this type of dialogs and the type of language used by customers and agents is the focus of this paper towards understanding this new kind of CMC data. The challenges for processing chat data comes from the fact that Natural Language Processing tools such as syntactic parsers and part of speech taggers are typically trained on mismatched conditions, we describe in this study the impact of such a mismatch for a syntactic parsing task.
CITATION STYLE
Nasr, A., Damnati, G., Guerraz, A., & Bechet, F. (2016). Syntactic parsing of chat language in contact center conversation corpus. In SIGDIAL 2016 - 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference (pp. 175–184). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-3621
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