Rhetorical Structure in Dialog
Summary
The paper reports on an early effort to apply Rhetorical Structure Theory (RST) to complex, mixed-initiative, task-oriented spoken dialog. The goal is to support content planning for conversational agents such as the TRIPS system. The author's pilot study annotated one dialog from the Monroe corpus. Two annotators worked independently with O'Donnell's RST tool, using Mann and Thompson's relations plus some dialog- and domain-specific ones. Their tree structures largely agreed, but their relation labels diverged sharply. Neither annotation covered the whole dialog, and some observed structure fit no available relation.
In response, the pilot was halted and a new annotation scheme for "argumentation acts" was designed. The scheme does four things:
- It guides annotators with decision trees, simplified definitions, examples and discourse cues.
- It drops overly broad relations.
- It adds adjacency-pair relations that may cross turns.
- It labels presentational and subject-matter relations separately, together with content types.
The work matters because rhetorical goals, not only task goals, explain many contributions in dialog. Turn-internal analysis or existing dialog schemes miss this structure.
Key points
- Corpora: the Monroe corpus is the main target, with reference to TRAINS and the HCRC Maptask corpus. The annotation manual is being refined on TRAINS-93 dialogs.
- Pilot problems: the motivate/justify and elaboration/motivation distinctions were ambiguous, and elaboration and joint were too broad. In the new scheme, joint is removed and elaboration is replaced by finer subtypes.
- Adjacency pairs such as question-answer and proposal-accept become relations. They can be bi-nuclear and can span multiple turns. Other relations, such as elaboration and sequence, may also cross speakers.
- Annotators may mark three things for a span: a presentational relation, a subject-matter relation, and a content type (e.g., time, location, number). This departs from Mann and Thompson's rule that subject-matter relations take precedence.
- In 8 DAMSL-tagged dialogs, 40% of utterances were statements. The author argues this justifies modeling rhetorical structure separately, unlike DAMSL, the Maptask scheme or COCONUT.
Cited by
- Discourse Markers in Speech: Distinctive Features and Corpus Annotation
- Implicit Discourse Relation Identification for Open-domain Dialogues
Cite
@inproceedings{stent2000rhetorical,
title = {{Rhetorical Structure in Dialog}},
author = {Stent, Amanda},
booktitle = {INLG'2000 Proceedings of the First International Conference on Natural Language Generation},
year = {2000},
doi = {10.3115/1118253.1118288},
url = {https://doi.org/10.3115/1118253.1118288}
}References
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