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Modeling Human Mental States with an Entity-based Narrative Graph
Understanding narrative text requires capturing characters' motivations,...
04/14/2021 ∙ by I-ta Lee, et al. ∙
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Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model
Multiview representation learning of data can help construct coherent an...
04/07/2021 ∙ by Tunazzina Islam, et al. ∙
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Randomized Deep Structured Prediction for Discourse-Level Processing
Expressive text encoders such as RNNs and Transformer Networks have been...
01/25/2021 ∙ by Manuel Widmoser, et al. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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