Swabha Swayamdipta

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Carnegie Mellon University

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University of Washington

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Allen Institute for Artificial Intelligence

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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...

Ayush Pancholy, et al. ∙

∙ 05/07/2021

On-the-Fly Controlled Text Generation with Experts and Anti-Experts

Despite recent advances in natural language generation, it remains chall...

Alisa Liu, et al. ∙

∙ 03/02/2021

Contrastive Explanations for Model Interpretability

Contrastive explanations clarify why an event occurred in contrast to an...

Alon Jacovi, et al. ∙

∙ 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...

Krishna Pillutla, et al. ∙

∙ 01/29/2021

Challenges in Automated Debiasing for Toxic Language Detection

Biased associations have been a challenge in the development of classifi...

Xuhui Zhou, et al. ∙

∙ 04/24/2020

G-DAUG: Generative Data Augmentation for Commonsense Reasoning

Recent advances in commonsense reasoning depend on large-scale human-ann...

Yiben Yang, et al. ∙

∙ 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...

Suchin Gururangan, et al. ∙

∙ 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...

Roy Schwartz, et al. ∙

∙ 02/10/2020

Adversarial Filters of Dataset Biases

Large neural models have demonstrated human-level performance on languag...

Ronan Le Bras, et al. ∙

∙ 08/29/2019

Shallow Syntax in Deep Water

Shallow syntax provides an approximation of phrase-syntactic structure o...

Swabha Swayamdipta, et al. ∙

∙ 08/30/2018

Syntactic Scaffolds for Semantic Structures

We introduce the syntactic scaffold, an approach to incorporating syntac...

Swabha Swayamdipta, et al. ∙

∙ 05/29/2018

Polyglot Semantic Role Labeling

Previous approaches to multilingual semantic dependency parsing treat la...

Phoebe Mulcaire, et al. ∙

∙ 04/17/2018

Learning Joint Semantic Parsers from Disjoint Data

We present a new approach to learning semantic parsers from multiple dat...

Hao Peng, et al. ∙

∙ 03/06/2018

Annotation Artifacts in Natural Language Inference Data

Large-scale datasets for natural language inference are created by prese...

Suchin Gururangan, et al. ∙

∙ 11/02/2017

Multi-Mention Learning for Reading Comprehension with Neural Cascades

Reading comprehension is a challenging task, especially when executed ac...

Swabha Swayamdipta, et al. ∙

∙ 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...

Swabha Swayamdipta, et al. ∙

∙ 01/15/2017

DyNet: The Dynamic Neural Network Toolkit

We describe DyNet, a toolkit for implementing neural network models base...

Graham Neubig, et al. ∙

∙ 06/29/2016

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

We present a transition-based parser that jointly produces syntactic and...

Swabha Swayamdipta, et al. ∙