Identifying the addressee in human-human-robot interactions based on head pose and speech
Proceedings of the 6th international conference on Multimodal interfaces
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
The CALO meeting assistant system
IEEE Transactions on Audio, Speech, and Language Processing
Annotating participant reference in English spoken conversation
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Hand gestures in disambiguating types of you expressions in multiparty meetings
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
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This paper examines the resolution of the second person English pronoun you in multi-party dialogue. Following previous work, we attempt to classify instances as generic or referential, and in the latter case identify the singular or plural addressee. We show that accuracy and robustness can be improved by use of simple lexical features, capturing the intuition that different uses and addressees are associated with different vocabularies; and we show that there is an advantage to treating referentiality and addressee identification as separate (but connected) problems.