A Corpus-Based Study of Accept and Assessment in SWBD-DAMSL
نویسندگان
چکیده
A series of studies have focused on backwards functions in conversation, especially to explore the distinction among backchannel/acknowledgement, accept and yes-answer, while for accept and assessment/appreciation, little attention has been obtained. This paper describes a quantitative investigation into two dialogue acts accept and assessment/appreciation, exhibiting their similarities and differences in the preceding contexts and lexical realization, which is expected to help the automatic detection of dialogue acts.
منابع مشابه
Collaborative Annotation of Dialogue Acts: Application of a New ISO Standard to the Switchboard Corpus
This article reports some initial results from the collaborative work on converting SWBD-DAMSL annotation scheme used in the Switchboard Dialogue Act Corpus to ISO DA annotation framework, as part of our on-going research on the interoperability of standardized linguistic annotations. A qualitative assessment of the conversion between the two annotation schemes was performed to verify the appli...
متن کاملIssues in the addition of ISO standard annotations to the Switchboard corpus
This paper analyzes the issues that arise when trying to add annotations to the dialogues in the Switchboard corpus according to ISO standard 24617-2, exploiting the existing SWBD-DAMSL annotations. These issues relate to differences between the two tag sets; to the highly multidimensional view that underlies the ISO standard; to differences in segmenting the dialogues into functional units; to...
متن کاملDialogue Acts: One or More Dimensions?
This report surveys the main theories of dialogue and communication that have been used to devise dialogue act tagsets, distinguishing theories that deal with a specific level of communication from theories that integrate several levels. The report proceeds to analyse four dialogue act tagsets that have been used to annotate large scale dialogue corpora (damsl, swbd-damsl, icsi-mrda and maltus)...
متن کاملDimensionality of dialogue act tagsets
This article compares one-dimensional and multi-dimensional dialogue act tagsets used for automatic labeling of utterances. The influence of tagset dimensionality on tagging accuracy is first discussed theoretically, then based on empirical data from human and automatic annotations of large scale resources, using four existing tagsets: DAMSL, SWBD-DAMSL, ICSI-MRDA and MALTUS. The Dominant Funct...
متن کاملAnalyzing and Predicting Patterns of DAMSL Utterance Tags
We have been annotating TRAINS dialogs with dialog acts in order to produce training data for a dialog act predictor, and to study how language is used in these dialogs. We are using DAMSL dialog acts which consist of 15 independent attributes. For the purposes of this paper, infrequent attributes such as Unintelligible and Self-Talk were set aside to concentrate on the eight major DAMSL tag se...
متن کامل