A Distance-Aware Multi-Task Framework for Conversational Discourse Parsing
Year: 2022
Type: other
Abstract: We focus on conversational discourse parsing. And we propose a Distance-Aware Multi-Task framework (DAMT) for conversational discourse parsing that allows one paradigm to explicitly facilitate the decoding process of the other from the encoding and decoding process, respectively. We present our work in four parts: intorduction, methodology, experimentation, and Conclusion.
Source: Underline Science Inc.
DOI: 10.48448/qp5b-0w87
Authors: International Committee for Computational Linguistics 2022, FAN, Yaxin, Kong, Fang, Li, Peifeng, Zhu, Qiaoming
Institution: Soochow University
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6910587050
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