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09/18/2023
Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization
Video summarization remains a huge challenge in computer vision due to t...
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09/16/2021
Sister Help: Data Augmentation for Frame-Semantic Role Labeling
While FrameNet is widely regarded as a rich resource of semantics in nat...
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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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03/02/2021
Contrastive Explanations for Model Interpretability
Contrastive explanations clarify why an event occurred in contrast to an...
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02/02/2021
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation
Despite major advances in open-ended text generation, there has been lim...
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01/29/2021
Challenges in Automated Debiasing for Toxic Language Detection
Biased associations have been a challenge in the development of classifi...
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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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04/23/2020
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Language models pretrained on text from a wide variety of sources form t...
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04/16/2020
The Right Tool for the Job: Matching Model and Instance Complexities
As NLP models become larger, executing a trained model requires signific...
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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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08/29/2019
Shallow Syntax in Deep Water
Shallow syntax provides an approximation of phrase-syntactic structure o...
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08/30/2018
Syntactic Scaffolds for Semantic Structures
We introduce the syntactic scaffold, an approach to incorporating syntac...
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05/29/2018
Polyglot Semantic Role Labeling
Previous approaches to multilingual semantic dependency parsing treat la...
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04/17/2018
Learning Joint Semantic Parsers from Disjoint Data
We present a new approach to learning semantic parsers from multiple dat...
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03/06/2018
Annotation Artifacts in Natural Language Inference Data
Large-scale datasets for natural language inference are created by prese...
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11/02/2017
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Reading comprehension is a challenging task, especially when executed ac...
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06/29/2017
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold
We present a new, efficient frame-semantic parser that labels semantic a...
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01/15/2017
DyNet: The Dynamic Neural Network Toolkit
We describe DyNet, a toolkit for implementing neural network models base...
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06/29/2016