Dan Goldwasser

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Purdue University

Using Natural Language Relations between Answer Choices for Machine Comprehension

When evaluating an answer choice for Reading Comprehension task, other a...
12/31/2020 ∙ by Rajkumar Pujari, et al. ∙ 0 ∙ share

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Understanding Politics via Contextualized Discourse Processing

Politicians often have underlying agendas when reacting to events. Argum...
12/31/2020 ∙ by Rajkumar Pujari, et al. ∙ 0 ∙ share

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Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information

Leveraging social media data to understand people's lifestyle choices is...
12/17/2020 ∙ by Tunazzina Islam, et al. ∙ 9 ∙ share

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Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information

Although yoga is a multi-component practice to hone the body and mind an...
12/05/2020 ∙ by Tunazzina Islam, et al. ∙ 6 ∙ share

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Semi-supervised Autoencoding Projective Dependency Parsing

We describe two end-to-end autoencoding models for semi-supervised graph...
11/02/2020 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Cross-Lingual Document Retrieval with Smooth Learning

Cross-lingual document search is an information retrieval task in which ...
11/02/2020 ∙ by Jiapeng Liu, et al. ∙ 0 ∙ share

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"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text

We examine a new commonsense reasoning task: given a narrative describin...
10/29/2020 ∙ by Keen You, et al. ∙ 0 ∙ share

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Modeling Content and Context with Deep Relational Learning

Building models for realistic natural language tasks requires dealing wi...
10/20/2020 ∙ by Maria Leonor Pacheco, et al. ∙ 0 ∙ share

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Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media

In this paper we suggest a minimally-supervised approach for identifying...
09/21/2020 ∙ by Shamik Roy, et al. ∙ 0 ∙ share

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An Anomaly Contribution Explainer for Cyber-Security Applications

In this paper, we introduce Anomaly Contribution Explainer or ACE, a too...
12/01/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

Various domain users are increasingly leveraging real-time social media ...
08/01/2019 ∙ by Luke S. Snyder, et al. ∙ 5 ∙ share

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Sentiment Tagging with Partial Labels using Modular Architectures

Many NLP learning tasks can be decomposed into several distinct sub-task...
06/03/2019 ∙ by Xiao Zhang, et al. ∙ 0 ∙ share

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Improving Natural Language Interaction with Robots Using Advice

Over the last few years, there has been growing interest in learning mod...
05/12/2019 ∙ by Nikhil Mehta, et al. ∙ 0 ∙ share

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Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols

Grammar-based fuzzing is a technique used to find software vulnerabiliti...
10/10/2018 ∙ by Samuel Jero, et al. ∙ 0 ∙ share

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Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text

The ability to comprehend wishes or desires and their fulfillment is imp...
11/30/2015 ∙ by Snigdha Chaturvedi, et al. ∙ 0 ∙ share

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Dan Goldwasser

Featured Co-authors

Xiao Wang

Xiao Zhang

Hal Daumé III

David S. Ebert

Morteza Karimzadeh

Snigdha Chaturvedi

Cristina Nita-Rotaru

Nikhil Mehta

Luke S. Snyder

Jiapeng Liu

Tunazzina Islam

Using Natural Language Relations between Answer Choices for Machine Comprehension

Understanding Politics via Contextualized Discourse Processing

Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information

Does Yoga Make You Happy? Analyzing Twitter User Happiness using Textual and Temporal Information

Semi-supervised Autoencoding Projective Dependency Parsing

Cross-Lingual Document Retrieval with Smooth Learning

"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text

Modeling Content and Context with Deep Relational Learning

Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media

An Anomaly Contribution Explainer for Cyber-Security Applications

Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness

Sentiment Tagging with Partial Labels using Modular Architectures

Improving Natural Language Interaction with Robots Using Advice

Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols

Ask, and shall you receive?: Understanding Desire Fulfillment in Natural Language Text