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05/14/2022
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
Systems that can automatically define unfamiliar terms hold the promise ...
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10/14/2021
Delphi: Towards Machine Ethics and Norms
What would it take to teach a machine to behave ethically? While broad e...
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10/14/2021
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
The common practice for training commonsense models has gone from-human-...
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05/07/2021
On-the-Fly Controlled Text Generation with Experts and Anti-Experts
Despite recent advances in natural language generation, it remains chall...
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04/16/2021
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models
Scripts - standardized event sequences describing typical everyday activ...
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04/13/2021
"I'm Not Mad": Commonsense Implications of Negation and Contradiction
Natural language inference requires reasoning about contradictions, nega...
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03/24/2021
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
Commonsense AI has long been seen as a near impossible goal – until rece...
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01/02/2021
On-the-Fly Attention Modularization for Neural Generation
Despite considerable advancements with deep neural language models (LMs)...
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10/24/2020
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
Conditional text generation often requires lexical constraints, i.e., wh...
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10/16/2020
Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning
Pretrained Language Models (LMs) generate text with remarkable quality, ...
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10/15/2020
Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs
Natural language rationales could provide intuitive, higher-level explan...
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10/12/2020
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Recent years have brought about a renewed interest in commonsense repres...
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10/12/2020
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
Abductive and counterfactual reasoning, core abilities of everyday human...
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10/04/2020
Paragraph-Level Commonsense Transformers with Recurrent Memory
Human understanding of narrative texts requires making commonsense infer...
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04/24/2020
G-DAUG: Generative Data Augmentation for Commonsense Reasoning
Recent advances in commonsense reasoning depend on large-scale human-ann...
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04/22/2020
Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image
Even from a single frame of a still image, people can reason about the d...
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04/11/2020
Unsupervised Commonsense Question Answering with Self-Talk
Natural language understanding involves reading between the lines with i...
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02/10/2020
Adversarial Filters of Dataset Biases
Large neural models have demonstrated human-level performance on languag...
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10/07/2019
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion
Automatic KB completion for commonsense knowledge graphs (e.g., ATOMIC a...
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09/09/2019
Counterfactual Story Reasoning and Generation
Counterfactual reasoning requires predicting how alternative events, con...
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08/31/2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Understanding narratives requires reading between the lines, which in tu...
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08/15/2019
Abductive Commonsense Reasoning
Abductive reasoning is inference to the most plausible explanation. For ...
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07/24/2019
WINOGRANDE: An Adversarial Winograd Schema Challenge at Scale
The Winograd Schema Challenge (WSC), proposed by Levesque et al. (2011) ...
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07/01/2019
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
Claims are a fundamental unit of scientific discourse. The exponential g...
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10/31/2018
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
We present ATOMIC, an atlas of everyday commonsense reasoning, organized...
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06/20/2018
Ontology Alignment in the Biomedical Domain Using Entity Definitions and Context
Ontology alignment is the task of identifying semantically equivalent en...
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05/06/2018
Construction of the Literature Graph in Semantic Scholar
We describe a deployed scalable system for organizing published scientif...
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02/22/2018
Content-Based Citation Recommendation
We present a content-based method for recommending citations in an acade...
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04/29/2017
