David Traum, Cassidy Henry, Stephanie Lukin, Ron Artstein, Felix Gervits, Kimberly Pollard, Claire Bonial, Su Lei, Clare Voss, Matthew Marge, Cory Hayes, Susan Hill
| Challenge: | Existing annotation schemes do not address dialogue structure. |
| Approach: | They propose an annotation scheme for meso-level dialogue structure that clusters utterances from multiple participants and floors into units according to realization of an initiator's intent. |
| Outcome: | The proposed annotation scheme is used to annotate a corpus of human-robot interaction dialogues. |
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Jon Cai, Brendan King, Peyton Cameron, Susan Windisch Brown, Miriam Eckert, Dananjay Srinivas, George Arthur Baker, V Kate Everson, Martha Palmer, James Martin, Jeffrey Flanigan
| Challenge: | Understanding speaker intentions remains a challenge in NLP . a number of corpora annotated using theoretical frameworks of dialogue focus on utterance-level labeling of speaker intent, missing wider context, or the rhetorical structure of a dialogue. |
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Dialogue Act Annotation in a Multimodal Corpus of First Encounter Dialogues (2020.lrec-1)
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| Challenge: | a method used to annotate dialogue acts in a multimodal corpus is described . the annotations allow for analysis of how multimodal signals contribute to the structure and content of the dialogues. |
| Approach: | They propose to annotate dialogue acts in a multimodal corpus of first encounter dialogues . they focus on which dialogue acts often follow each other across speakers and which overlap gestural behaviour . |
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A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations (L18-1)
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| Challenge: | Recent interest in Argumentation Mining has brought to the fore the need for corpora annotated with argument information, which can be used as training data. |
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Construction and Analysis of a Multimodal Chat-talk Corpus for Dialog Systems Considering Interpersonal Closeness (2020.lrec-1)
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| Challenge: | a large-scale multimodal dialog corpus is needed to accelerate research on dialog systems that can handle social signals and verbal information. |
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Structural Characterization for Dialogue Disentanglement (2022.acl-long)
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| Challenge: | tangled multi-party dialogues lead to difficulties in understanding the dialogue history for both human and machine. |
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Collection of Multimodal Dialog Data and Analysis of the Result of Annotation of Users’ Interest Level (L18-1)
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Masahiro Araki, Sayaka Tomimasu, Mikio Nakano, Kazunori Komatani, Shogo Okada, Shinya Fujie, Hiroaki Sugiyama
| Challenge: | a group of researchers is building a corpus for evaluating elements of multimodal dialogue systems. |
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Dialog Intent Structure: A Hierarchical Schema of Linked Dialog Acts (L18-1)
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| Challenge: | a schema for dialog representation captures the pragmatic intents of the conversation independently from any semantic representation. |
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| Challenge: | modal expressions are used to communicate and align world knowledge, but there is no obvious manner to ground them in the shared environment. |
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A Brief Survey of Textual Dialogue Corpora (2022.lrec-1)
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| Challenge: | Several dialogue corpora are available for research purposes, but they do not cover all the necessities of real-world applications. |
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MATILDA - Multi-AnnoTator multi-language InteractiveLight-weight Dialogue Annotator (2021.eacl-demos)
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| Challenge: | MATILDA is the first multi-annotator, multi-language dialogue annotation tool . it allows the creation of corpora, the management of users, the annotation of dialogues, the quick adaptation of the user interface to any language and the resolution of interannotation disagreement. |
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