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Coupled Representation Learning for Domains, Intents and Slots in Spoken
  Language Understanding

Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding

13 December 2018
Jihwan Lee
Dongchan Kim
R. Sarikaya
Young-Bum Kim
ArXiv (abs)PDFHTML

Papers citing "Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding"

6 / 6 papers shown
Explainable and Accurate Natural Language Understanding for Voice
  Assistants and Beyond
Explainable and Accurate Natural Language Understanding for Voice Assistants and BeyondInternational Conference on Information and Knowledge Management (CIKM), 2023
Kalpa Gunaratna
Vijay Srinivasan
Hongxia Jin
309
0
0
25 Sep 2023
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter
  Dataset
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset
Yu Wang
Hongxia Jin
197
0
0
18 Dec 2022
Explainable Slot Type Attentions to Improve Joint Intent Detection and
  Slot Filling
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot FillingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kalpa Gunaratna
Vijay Srinivasan
Akhila Yerukola
Hongxia Jin
191
10
0
19 Oct 2022
A survey of joint intent detection and slot-filling models in natural
  language understanding
A survey of joint intent detection and slot-filling models in natural language understanding
H. Weld
Xiaoqi Huang
Siqi Long
Josiah Poon
S. Han
VLM
329
2
0
20 Jan 2021
Prior Knowledge Driven Label Embedding for Slot Filling in Natural
  Language Understanding
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language UnderstandingIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
Su Zhu
Zijian Zhao
Rao Ma
Kai Yu
124
11
0
22 Mar 2020
Iterative Delexicalization for Improved Spoken Language Understanding
Iterative Delexicalization for Improved Spoken Language UnderstandingInterspeech (Interspeech), 2019
Avik Ray
Yilin Shen
Hongxia Jin
139
8
0
15 Oct 2019
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