| Challenge: | KODIS is a dyadic dispute resolution corpus containing thousands of dialogues from over 75 countries. |
| Approach: | They propose to use a dyadic dispute resolution corpus to examine how conflicts escalate through conversation rather than deal-making. |
| Outcome: | The proposed corpus contains thousands of dialogues from over 75 countries. |
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| Challenge: | Existing systems that negotiate with humans have broad applications in pedagogy and conversational AI. |
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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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WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community (D18-1)
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A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation (N19-1)
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| Challenge: | a corpus of anaphoric information (coreference) is crowdsourced through a game-with-a-purpose . its main feature is the large number of judgments per markable: 20 on average, and over 2.2M in total. |
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Dialogue Act-based Breakdown Detection in Negotiation Dialogues (2021.eacl-main)
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A Lightweight Modeling Middleware for Corpus Processing (L18-1)
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| Challenge: | Present-day empirical research in computational or theoretical linguistics has richly annotated and diverse corpus resources. |
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Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems (2021.naacl-main)
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| Challenge: | Existing goal-oriented dialogue datasets focus on identifying slots and values, but in reality, customer service agents follow multi-step procedures derived from explicit company policies. |
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