activity
20192022
most citedTowards duration robust weakly supervised sound event detection

50 citations · 78 across the 10 of their papers we have counts for

collaborators

16 papers

cs.CL20221 cited

OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue

Zhi Chen, Yuncong Liu, Lu Chen +3

This paper presents an ontology-aware pretrained language model (OPAL) for end-to-end task-oriented dialogue (TOD). Unlike chit-chat dialogue models, task-oriented dialogue models…

cs.CL20222 cited

Symptom Identification for Interpretable Detection of Multiple Mental Disorders

Zhiling Zhang, Siyuan Chen, Mengyue Wu +1

Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability, due to lack of symptom modeling. This paper introduces PsySym, the fi…

cs.CL20222 cited

Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression

Zhiling Zhang, Siyuan Chen, Mengyue Wu +1

Depression is a prominent health challenge to the world, and early risk detection (ERD) of depression from online posts can be a promising technique for combating the threat. Early…

cs.SD2022

Audio-text Retrieval in Context

Siyu Lou, Xuenan Xu, Mengyue Wu +1

Audio-text retrieval based on natural language descriptions is a challenging task. It involves learning cross-modality alignments between long sequences under inadequate data condi…

cs.SD20213 cited

Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging

Zhiling Zhang, Zelin Zhou, Haifeng Tang +3

Audio tagging aims at predicting sound events occurred in a recording. Traditional models require enormous laborious annotations, otherwise performance degeneration will be the nor…

cs.CL20213 cited

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL

Zhi Chen, Lu Chen, Hanqi Li +4

Recently, Text-to-SQL for multi-turn dialogue has attracted great interest. Here, the user input of the current turn is parsed into the corresponding SQL query of the appropriate d…