activity
20172021
collaborators

10 papers

cs.CL2021

MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations

Yao Dou, Maxwell Forbes, Ari Holtzman +1

We study conversational dialog in which there are many possible responses to a given history. We present the MultiTalk Dataset, a corpus of over 320,000 sentences of written conver…

cs.CL2020

Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences

Denis Emelin, Ronan Le Bras, Jena D. Hwang +2

In social settings, much of human behavior is governed by unspoken rules of conduct. For artificial systems to be fully integrated into social environments, adherence to such norms…

cs.CL2020

Social Chemistry 101: Learning to Reason about Social and Moral Norms

Maxwell Forbes, Jena D. Hwang, Vered Shwartz +2

Social norms -- the unspoken commonsense rules about acceptable social behavior -- are crucial in understanding the underlying causes and intents of people's actions in narratives.…

cs.CL2020

Paragraph-level Commonsense Transformers with Recurrent Memory

Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz +3

Human understanding of narrative texts requires making commonsense inferences beyond what is stated explicitly in the text. A recent model, COMET, can generate such implicit common…

cs.CL2019

Neural Naturalist: Generating Fine-Grained Image Comparisons

Maxwell Forbes, Christine Kaeser-Chen, Piyush Sharma +1

We introduce the new Birds-to-Words dataset of 41k sentences describing fine-grained differences between photographs of birds. The language collected is highly detailed, while rema…

cs.CL2019

Do Neural Language Representations Learn Physical Commonsense?

Maxwell Forbes, Ari Holtzman, Yejin Choi

Humans understand language based on the rich background knowledge about how the physical world works, which in turn allows us to reason about the physical world through language. I…