This paper introduces our system designed for Track 2, which focuses on
...
Knowledge Graph (KG)-to-Text generation aims at generating fluent
natura...
Taxonomy expansion is the process of incorporating a large number of
add...
Semantic parsing is a technique aimed at constructing a structured
repre...
Knowledge tracing (KT) aims to leverage students' learning histories to
...
The present paper proposes a waveform boundary detection system for audi...
Target-speaker voice activity detection is currently a promising approac...
Multi-modal knowledge graphs (MKGs) include not only the relation triple...
Inductive link prediction (ILP) is to predict links for unseen entities ...
This paper proposes an online target speaker voice activity detection sy...
Recently, the target speech separation or extraction techniques under th...
Text simplification is the task of rewriting a text so that it is readab...
There has been an increasing interest in incorporating Artificial
Intell...
In this paper, we present the speaker diarization system for the
Multi-c...
Sources of complementary information are connected when we link user acc...
This paper introduces an online speaker diarization system that can hand...
This report describes the submission of the DKU-DukeECE-Lenovo team to t...
Diabetes prediction is an important data science application in the soci...
In this paper, we present the submitted system for the third DIHARD Spee...
Predicting (1) when the next hospital admission occurs and (2) what will...
In this paper, we propose an iterative framework for self-supervised spe...
Sequential user behavior modeling plays a crucial role in online
user-or...
Electronic medical record (EMR) data contains historical sequences of vi...
Graph embedding methods transform high-dimensional and complex graph con...