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03/14/2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
Generative commonsense reasoning (GCR) in natural language is to reason ...
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06/08/2021
TIMEDIAL: Temporal Commonsense Reasoning in Dialog
Everyday conversations require understanding everyday events, which in t...
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10/14/2020
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach
Given a document and a target aspect (e.g., a topic of interest), aspect...
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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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04/07/2020
Evaluating Machines by their Real-World Language Use
There is a fundamental gap between how humans understand and use languag...
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11/10/2019
Social Bias Frames: Reasoning about Social and Power Implications of Language
Language has the power to reinforce stereotypes and project social biase...
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09/09/2019
Counterfactual Story Reasoning and Generation
Counterfactual reasoning requires predicting how alternative events, con...
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06/06/2019
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
Although neural conversation models are effective in learning how to pro...
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09/04/2018
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
We introduce Texar, an open-source toolkit aiming to support the broad s...
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06/26/2018
Deep Generative Models with Learnable Knowledge Constraints
The broad set of deep generative models (DGMs) has achieved remarkable a...
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05/09/2018
Automatic Article Commenting: the Task and Dataset
Comments of online articles provide extended views and improve user enga...
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04/01/2017
