565 citations · 1.2k across the 68 of their papers we have counts for
10 papers · 2 filters
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses
Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal +1
Empirical research in Natural Language Processing (NLP) has adopted a narrow set of principles for assessing hypotheses, relying mainly on p-value computation, which suffers from s…
"Going on a vacation" takes longer than "Going for a walk": A Study of Temporal Commonsense Understanding
Ben Zhou, Daniel Khashabi, Qiang Ning +1
Understanding time is crucial for understanding events expressed in natural language. Because people rarely say the obvious, it is often necessary to have commonsense knowledge abo…
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Peter Clark, Oren Etzioni, Daniel Khashabi +11
AI has achieved remarkable mastery over games such as Chess, Go, and Poker, and even Jeopardy, but the rich variety of standardized exams has remained a landmark challenge. Even in…
Reasoning-Driven Question-Answering for Natural Language Understanding
Daniel Khashabi
Natural language understanding (NLU) of text is a fundamental challenge in AI, and it has received significant attention throughout the history of NLP research. This primary goal h…
Solving Hard Coreference Problems
Haoruo Peng, Daniel Khashabi, Dan Roth
Coreference resolution is a key problem in natural language understanding that still escapes reliable solutions. One fundamental difficulty has been that of resolving instances inv…
Zero-Shot Open Entity Typing as Type-Compatible Grounding
Ben Zhou, Daniel Khashabi, Chen-Tse Tsai +1
The problem of entity-typing has been studied predominantly in supervised learning fashion, mostly with task-specific annotations (for coarse types) and sometimes with distant supe…
PerspectroScope: A Window to the World of Diverse Perspectives
Sihao Chen, Daniel Khashabi, Chris Callison-Burch +1
This work presents PerspectroScope, a web-based system which lets users query a discussion-worthy natural language claim, and extract and visualize various perspectives in support…
Question Answering as Global Reasoning over Semantic Abstractions
Daniel Khashabi, Tushar Khot, Ashish Sabharwal +1
We propose a novel method for exploiting the semantic structure of text to answer multiple-choice questions. The approach is especially suitable for domains that require reasoning…
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
Sihao Chen, Daniel Khashabi, Wenpeng Yin +2
One key consequence of the information revolution is a significant increase and a contamination of our information supply. The practice of fact checking won't suffice to eliminate…
On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections
Daniel Khashabi, Erfan Sadeqi Azer, Tushar Khot +2
Systems for language understanding have become remarkably strong at overcoming linguistic imperfections in tasks involving phrase matching or simple reasoning. Yet, their accuracy…