Search Results for author:
Found 7 papers, 2 papers with code
Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models
In this paper, we propose a mixture model-based end-to-end method to model the syntactic-semantic dependency correlation in Semantic Role Labeling (SRL).
Constituents Correspond to Word Sequence Patterns among Sentences with Equivalent Predicate-Argument Structures: Unsupervised Constituency Parsing by Span Matching
In this study, we empirically verify that \textbf{constituents correspond to word sequence patterns in the PAS-equivalent sentence set}.
Task Selection and Assignment for Multi-modal Multi-task Dialogue Act Classification with Non-stationary Multi-armed Bandits
Our proposed method is significantly superior in terms of UAR and F1 to the single-task and multi-task baselines with p-values < 0. 05.
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era
Speech is the fundamental mode of human communication, and its synthesis has long been a core priority in human-computer interaction research.
Depression Diagnosis and Forecast based on Mobile Phone Sensor Data
Previous studies have shown the correlation between sensor data collected from mobile phones and human depression states.
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting
Digital health applications are becoming increasingly important for assessing and monitoring the wellbeing of people suffering from mental health conditions like depression.
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
Emotional Voice Conversion (EVC) aims to convert the emotional style of a source speech signal to a target style while preserving its content and speaker identity information.
