Multiview Contextual Commonsense Inference: A New Dataset and Task

by   Siqi Shen, et al.
University of Michigan
Singapore University of Technology and Design

Contextual commonsense inference is the task of generating various types of explanations around the events in a dyadic dialogue, including cause, motivation, emotional reaction, and others. Producing a coherent and non-trivial explanation requires awareness of the dialogue's structure and of how an event is grounded in the context. In this work, we create CICEROv2, a dataset consisting of 8,351 instances from 2,379 dialogues, containing multiple human-written answers for each contextual commonsense inference question, representing a type of explanation on cause, subsequent event, motivation, and emotional reaction. We show that the inferences in CICEROv2 are more semantically diverse than other contextual commonsense inference datasets. To solve the inference task, we propose a collection of pre-training objectives, including concept denoising and utterance sorting to prepare a pre-trained model for the downstream contextual commonsense inference task. Our results show that the proposed pre-training objectives are effective at adapting the pre-trained T5-Large model for the contextual commonsense inference task.


CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

This paper addresses the problem of dialogue reasoning with contextualiz...

COMET-M: Reasoning about Multiple Events in Complex Sentences

Understanding the speaker's intended meaning often involves drawing comm...

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Commonsense inference to understand and explain human language is a fund...

Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge

Transformer models pre-trained with a masked-language-modeling objective...

CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation

Empathy is a trait that naturally manifests in human conversation. Theor...

Probing Commonsense Knowledge in Pre-trained Language Models with Sense-level Precision and Expanded Vocabulary

Progress on commonsense reasoning is usually measured from performance i...

What is More Likely to Happen Next? Video-and-Language Future Event Prediction

Given a video with aligned dialogue, people can often infer what is more...

Please sign up or login with your details

Forgot password? Click here to reset