@inproceedings{lee-2024-leveraging,
title = "Leveraging Linguistic Structural Information for Improving the Model{'}s Semantic Understanding Ability",
author = "Lee, Sangmyeong",
editor = "Inoue, Koji and
Fu, Yahui and
Axelsson, Agnes and
Ohashi, Atsumoto and
Madureira, Brielen and
Zenimoto, Yuki and
Mohapatra, Biswesh and
Stricker, Armand and
Khosla, Sopan",
booktitle = "Proceedings of the 20th Workshop of Young Researchers' Roundtable on Spoken Dialogue Systems",
month = sep,
year = "2024",
address = "Kyoto, Japan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.yrrsds-1.25",
pages = "68--69",
abstract = "This position paper describes research interests of the author (semantic structure comprehension in multimodal dialogue environments), his point of view on Spoken Dialogue System research that a new wave is to be carried out for coexistence with LLMs, and discussion topic proposals. Those three topics are as follows: 1) How to keep up with, or manipulate LLM for academia research, 2) How representational languages for semantic structural information could be used in this new era, and 3) how to deal with disambiguating the user{'}s language during the actual dialogue scenario.",
}
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<abstract>This position paper describes research interests of the author (semantic structure comprehension in multimodal dialogue environments), his point of view on Spoken Dialogue System research that a new wave is to be carried out for coexistence with LLMs, and discussion topic proposals. Those three topics are as follows: 1) How to keep up with, or manipulate LLM for academia research, 2) How representational languages for semantic structural information could be used in this new era, and 3) how to deal with disambiguating the user’s language during the actual dialogue scenario.</abstract>
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%0 Conference Proceedings
%T Leveraging Linguistic Structural Information for Improving the Model’s Semantic Understanding Ability
%A Lee, Sangmyeong
%Y Inoue, Koji
%Y Fu, Yahui
%Y Axelsson, Agnes
%Y Ohashi, Atsumoto
%Y Madureira, Brielen
%Y Zenimoto, Yuki
%Y Mohapatra, Biswesh
%Y Stricker, Armand
%Y Khosla, Sopan
%S Proceedings of the 20th Workshop of Young Researchers’ Roundtable on Spoken Dialogue Systems
%D 2024
%8 September
%I Association for Computational Linguistics
%C Kyoto, Japan
%F lee-2024-leveraging
%X This position paper describes research interests of the author (semantic structure comprehension in multimodal dialogue environments), his point of view on Spoken Dialogue System research that a new wave is to be carried out for coexistence with LLMs, and discussion topic proposals. Those three topics are as follows: 1) How to keep up with, or manipulate LLM for academia research, 2) How representational languages for semantic structural information could be used in this new era, and 3) how to deal with disambiguating the user’s language during the actual dialogue scenario.
%U https://aclanthology.org/2024.yrrsds-1.25
%P 68-69
Markdown (Informal)
[Leveraging Linguistic Structural Information for Improving the Model’s Semantic Understanding Ability](https://aclanthology.org/2024.yrrsds-1.25) (Lee, YRRSDS-WS 2024)
ACL