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05/22/2023
An Abstract Specification of VoxML as an Annotation Language
VoxML is a modeling language used to map natural language expressions in...
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03/27/2023
Causal schema induction for knowledge discovery
Making sense of familiar yet new situations typically involves making ge...
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10/20/2022
Dense Paraphrasing for Textual Enrichment
Understanding inferences and answering questions from text requires more...
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12/14/2021
Representing Inferences and their Lexicalization
We have recently begun a project to develop a more effective and efficie...
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05/12/2021
Designing Multimodal Datasets for NLP Challenges
In this paper, we argue that the design and development of multimodal da...
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12/05/2020
Neurosymbolic AI for Situated Language Understanding
In recent years, data-intensive AI, particularly the domain of natural l...
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07/13/2020
Situated Multimodal Control of a Mobile Robot: Navigation through a Virtual Environment
We present a new interface for controlling a navigation robot in novel e...
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07/03/2020
Exploration and Discovery of the COVID-19 Literature through Semantic Visualization
We are developing semantic visualization techniques in order to enhance ...
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07/01/2020
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
To combat COVID-19, both clinicians and scientists need to digest the va...
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03/16/2020
A Formal Analysis of Multimodal Referring Strategies Under Common Ground
In this paper, we present an analysis of computationally generated mixed...
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10/09/2019
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction
Predicting which patients are more likely to be readmitted to a hospital...
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09/18/2019
Multimodal Continuation-style Architectures for Human-Robot Interaction
We present an architecture for integrating real-time, multimodal input i...
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04/05/2019
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records
Recently natural language processing (NLP) tools have been developed to ...
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02/05/2019
Situational Grounding within Multimodal Simulations
In this paper, we argue that simulation platforms enable a novel type of...
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11/27/2018
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise
Many modern machine learning approaches require vast amounts of training...
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10/01/2018
Multimodal Interactive Learning of Primitive Actions
We describe an ongoing project in learning to perform primitive actions ...
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09/15/2018
Analysis of Risk Factor Domains in Psychosis Patient Health Records
Readmission after discharge from a hospital is disruptive and costly, re...
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10/02/2017
Learning event representation: As sparse as possible, but not sparser
Selecting an optimal event representation is essential for event classif...
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09/30/2017
Fine-grained Event Learning of Human-Object Interaction with LSTM-CRF
Event learning is one of the most important problems in AI. However, not...
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10/06/2016
Generating Simulations of Motion Events from Verbal Descriptions
In this paper, we describe a computational model for motion events in na...
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10/05/2016
VoxML: A Visualization Modeling Language
We present the specification for a modeling language, VoxML, which encod...
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10/05/2016
ECAT: Event Capture Annotation Tool
This paper introduces the Event Capture Annotation Tool (ECAT), a user-f...
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10/03/2016
Multimodal Semantic Simulations of Linguistically Underspecified Motion Events
In this paper, we describe a system for generating three-dimensional vis...
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07/10/2016