CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems
By Kushal Chawla, Jaysa Ramirez, Rene Clever, Gale M. Lucas, Jonathan May, Jonathan Gratch. 2021
84 citations recorded by the source corpus.
Automated systems that negotiate with humans have broad applications in pedagogy and conversational AI. To advance the development of practical negotiation systems, we present CaSiNo: a novel corpus of over a thousand negotiation dialogues in English. Participants take the role of campsite neighbors and negotiate for food, water, and firewood packages for their upcoming trip. Our design results in diverse and linguistically rich negotiations while maintaining a tractable, closed-domain environment. Inspired by the literature in human-human negotiations, we annotate persuasion strategies and perform correlation analysis to understand how the dialogue behaviors are associated with the negotiation performance. We further propose and evaluate a multi-task framework to recognize these strategies in a given utterance. We find that multi-task learning substantially improves the performance for all strategy labels, especially for the ones that are the most skewed. We release the dataset, annotations, and the code to propel future work in human-machine negotiations: https://github.com/kushalchawla/CaSiNo
Subfields: Artificial Intelligence, Sociology and Political Science, Natural Language Processing, Dialogue & Conversational AI
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Chitta Baral
- Hannaneh Hajishirzi
- Yejin Choi
- Swaroop Mishra
- Daniel Khashabi
- Noah A. Smith
- Luke S. Zettlemoyer
- Mohit Bansal
In Sociology and Political Science
- Noah A. Smith
- Yejin Choi
- Hannaneh Hajishirzi
- Maarten Sap
- Yulia Tsvetkov
- Diyi Yang
- Torsten Schaub
- Martin Gebser
In Natural Language Processing
- Chitta Baral
- Hannaneh Hajishirzi
- Swaroop Mishra
- Yejin Choi
- Daniel Khashabi
- Noah A. Smith
- Luke S. Zettlemoyer
- Mihir Parmar
In Dialogue & Conversational AI
Citations in the corpus
- Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks (2022, neutral): “N AT I NST adopted from Chawla et al. (2021).”
- Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks (2022, methodology): “Evaluation Instances Figure 1: An example from N AT I NST v 2 adopted from Chawla et al. (2021).”