Learning Structured Knowledge from Real-World Data without Excessive Annotations

Enriching Open-Domain Dialogue Models with Predictive Social Commonsense

Leveraging Diverse Data Generation for Domain-Adaptable Dialogue State Tracking

Automating Biomedical Abstract Screening using Network Embedding

Language as a Subtyping Tool and a Potential Predictor of Treatment Outcome in Depression: Using Large Language Models to Harvest the Predictive Power of Language

Contextual Embedding Representations for Retrieval-Based and Generation-Based Dialogue Systems

Attention-enhanced Deep Learning Models for Data Cleaning and Integration

Computational Structures as Neural Symbolic Representation

Overcoming Spatiotemporal Trade-offs in Calcium Imaging Using Deep Learning-based Dynamics Modeling

Knowledge-Aware User Intent Inference for Web Search and Conversational Agents

Predicting Time-to-Event and Clinical Outcomes from High-Dimensional Unstructured Data

A framework for gestational development tracking using 1D-Doppler ultrasound signals in rural Guatemala

Neural Networks for Cancer Survival Analysis Using High-Dimensional Data

Identification of Kidney Transplant Recipients at High-Risk for Post-Transplant Hospitalization using Natural Language Processing

Matching is not an Emergent Property of the Operant Reserve

Modeling Rich Interactions for Web Search Intent Inference, Ranking and Evaluation

New Insights Into the Similarity and Difference of Propositional Models Via Symmetry

Modeling User Attention and Interaction on the Web

Enabling Relational Databases for Effective CSP Solving