379 citations · 438 across the 20 of their papers we have counts for
44 papers
Multiview Contextual Commonsense Inference: A New Dataset and Task
Siqi Shen, Deepanway Ghosal, Navonil Majumder +3
Contextual commonsense inference is the task of generating various types of explanations around the events in a dyadic dialogue, including cause, motivation, emotional reaction, an…
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering
Deepanway Ghosal, Navonil Majumder, Rada Mihalcea +1
We propose a simple refactoring of multi-choice question answering (MCQA) tasks as a series of binary classifications. The MCQA task is generally performed by scoring each (questio…
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
Zhijing Jin, Sydney Levine, Fernando Gonzalez +6
AI systems are becoming increasingly intertwined with human life. In order to effectively collaborate with humans and ensure safety, AI systems need to be able to understand, inter…
WildQA: In-the-Wild Video Question Answering
Santiago Castro, Naihao Deng, Pingxuan Huang +2
Existing video understanding datasets mostly focus on human interactions, with little attention being paid to the "in the wild" settings, where the videos are recorded outdoors. We…
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
Deepanway Ghosal, Siqi Shen, Navonil Majumder +2
This paper addresses the problem of dialogue reasoning with contextualized commonsense inference. We curate CICERO, a dataset of dyadic conversations with five types of utterance-l…
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
Oana Ignat, Santiago Castro, Yuhang Zhou +3
We consider the task of temporal human action localization in lifestyle vlogs. We introduce a novel dataset consisting of manual annotations of temporal localization for 13,000 nar…