mlsanityData to 7 Oct 2026

CASPR: A Commonsense Reasoning-based Conversational Socialbot

arXiv 2110.05387 ↗First posted 11 Oct 2021cs.AI cs.HC cs.LOcited by 6

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Abstract (arXiv)

We report on the design and development of the CASPR system, a socialbot designed to compete in the Amazon Alexa Socialbot Challenge 4. CASPR's distinguishing characteristic is that it will use automated commonsense reasoning to truly "understand" dialogs, allowing it to converse like a human. Three main requirements of a socialbot are that it should be able to "understand" users' utterances, possess a strategy for holding a conversation, and be able to learn new knowledge. We developed techniques such as conversational knowledge template (CKT) to approximate commonsense reasoning needed to hold a conversation on specific topics. We present the philosophy behind CASPR's design as well as details of its implementation. We also report on CASPR's performance as well as discuss lessons learned.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 13 of its 37 references that are in the map. First posted on arXiv 11 Oct 2021.

Builds on

13 of 37 references.

References · 13

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1 more
  1. 2021DiscASP: A Graph-based ASP System for Finding Relevant Consistent Concepts with Applications to Conversational Socialbotscited by 2

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Cited by year

Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 0; 2025: 2.

6 papers.

  1. 2023Reliable Natural Language Understanding with Large Language Models and Answer Set Programmingcited by 12
  2. 2023Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogscited by 12
  3. 2021Towards Dynamic Consistency Checking in Goal-directed Predicate Answer Set Programmingcited by 1
  4. 2023Let's Get Personal: Personal Questions Improve SocialBot Performance in the Alexa Prizecited by 0
  5. 2025Reliable Conversational Agents under ASP Control that Understand Natural Languagecited by 0
  6. 2025Reliable Collaborative Conversational Agent System Based on LLMs and Answer Set Programmingcited by 0