Swabha Swayamdipta

is this you? claim profile

∙ 0 followers
Carnegie Mellon University ∙ University of Washington ∙ Allen Institute for Artificial Intelligence

Contrastive Explanations for Model Interpretability

Contrastive explanations clarify why an event occurred in contrast to an...
03/02/2021 ∙ by Alon Jacovi, et al. ∙ 35 ∙ share

read it
MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation

Despite major advances in open-ended text generation, there has been lim...
02/02/2021 ∙ by Krishna Pillutla, et al. ∙ 0 ∙ share

read it
Challenges in Automated Debiasing for Toxic Language Detection

Biased associations have been a challenge in the development of classifi...
01/29/2021 ∙ by Xuhui Zhou, et al. ∙ 0 ∙ share

read it
G-DAUG: Generative Data Augmentation for Commonsense Reasoning

Recent advances in commonsense reasoning depend on large-scale human-ann...
04/24/2020 ∙ by Yiben Yang, et al. ∙ 0 ∙ share

read it
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Language models pretrained on text from a wide variety of sources form t...
04/23/2020 ∙ by Suchin Gururangan, et al. ∙ 0 ∙ share

read it
The Right Tool for the Job: Matching Model and Instance Complexities

As NLP models become larger, executing a trained model requires signific...
04/16/2020 ∙ by Roy Schwartz, et al. ∙ 0 ∙ share

read it
Adversarial Filters of Dataset Biases

Large neural models have demonstrated human-level performance on languag...
02/10/2020 ∙ by Ronan Le Bras, et al. ∙ 14 ∙ share

read it
Shallow Syntax in Deep Water

Shallow syntax provides an approximation of phrase-syntactic structure o...
08/29/2019 ∙ by Swabha Swayamdipta, et al. ∙ 0 ∙ share

read it
Syntactic Scaffolds for Semantic Structures

We introduce the syntactic scaffold, an approach to incorporating syntac...
08/30/2018 ∙ by Swabha Swayamdipta, et al. ∙ 0 ∙ share

read it
Polyglot Semantic Role Labeling

Previous approaches to multilingual semantic dependency parsing treat la...
05/29/2018 ∙ by Phoebe Mulcaire, et al. ∙ 0 ∙ share

read it
Learning Joint Semantic Parsers from Disjoint Data

We present a new approach to learning semantic parsers from multiple dat...
04/17/2018 ∙ by Hao Peng, et al. ∙ 0 ∙ share

read it
Annotation Artifacts in Natural Language Inference Data

Large-scale datasets for natural language inference are created by prese...
03/06/2018 ∙ by Suchin Gururangan, et al. ∙ 0 ∙ share

read it
Multi-Mention Learning for Reading Comprehension with Neural Cascades

Reading comprehension is a challenging task, especially when executed ac...
11/02/2017 ∙ by Swabha Swayamdipta, et al. ∙ 0 ∙ share

read it
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold

We present a new, efficient frame-semantic parser that labels semantic a...
06/29/2017 ∙ by Swabha Swayamdipta, et al. ∙ 0 ∙ share

read it
DyNet: The Dynamic Neural Network Toolkit

We describe DyNet, a toolkit for implementing neural network models base...
01/15/2017 ∙ by Graham Neubig, et al. ∙ 0 ∙ share

read it
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs

We present a transition-based parser that jointly produces syntactic and...
06/29/2016 ∙ by Swabha Swayamdipta, et al. ∙ 0 ∙ share

read it

Swabha Swayamdipta

Featured Co-authors

Graham Neubig

Noah A. Smith

Yejin Choi

Yoav Goldberg

Luke Zettlemoyer

Chris Dyer

Hao Peng

Samuel R. Bowman

Trevor Cohn

Antonios Anastasopoulos

Omer Levy

Contrastive Explanations for Model Interpretability

MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation

Challenges in Automated Debiasing for Toxic Language Detection

G-DAUG: Generative Data Augmentation for Commonsense Reasoning

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

The Right Tool for the Job: Matching Model and Instance Complexities

Adversarial Filters of Dataset Biases

Shallow Syntax in Deep Water

Syntactic Scaffolds for Semantic Structures

Polyglot Semantic Role Labeling

Learning Joint Semantic Parsers from Disjoint Data

Annotation Artifacts in Natural Language Inference Data

Multi-Mention Learning for Reading Comprehension with Neural Cascades

Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold

DyNet: The Dynamic Neural Network Toolkit

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs