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PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for
  Perturbation-Robust Slot Filling

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling

24 August 2022
Guanting Dong
Daichi Guo
Liwen Wang
Xuefeng Li
Zechen Wang
Chen Zeng
Keqing He
Jinzheng Zhao
Hao Lei
Xinyue Cui
Yi Huang
Junlan Feng
Weiran Xu
ArXivPDFHTML

Papers citing "PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling"

23 / 23 papers shown
Title
Text Smoothing: Enhance Various Data Augmentation Methods on Text
  Classification Tasks
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Xing Wu
Chaochen Gao
Meng Lin
Liangjun Zang
Zhongyuan Wang
Songlin Hu
40
27
0
28 Feb 2022
Bridge to Target Domain by Prototypical Contrastive Learning and Label
  Confusion: Re-explore Zero-Shot Learning for Slot Filling
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling
Liwen Wang
Xuefeng Li
Jiachi Liu
Keqing He
Yuanmeng Yan
Weiran Xu
VLM
93
25
0
07 Oct 2021
RockNER: A Simple Method to Create Adversarial Examples for Evaluating
  the Robustness of Named Entity Recognition Models
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models
Bill Yuchen Lin
Wenyang Gao
Jun Yan
Ryan Rene Moreno
Xiang Ren
AAML
76
42
0
12 Sep 2021
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language
  Understanding
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding
Lingyun Feng
Jianwei Yu
Deng Cai
Songxiang Liu
Haitao Zheng
Yan Wang
ELM
112
14
0
30 Aug 2021
Evaluating the Robustness of Neural Language Models to Input
  Perturbations
Evaluating the Robustness of Neural Language Models to Input Perturbations
M. Moradi
Matthias Samwald
AAML
78
102
0
27 Aug 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence
  Representation Transfer
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Yuanmeng Yan
Rumei Li
Sirui Wang
Fuzheng Zhang
Wei Wu
Weiran Xu
SSL
108
556
0
25 May 2021
Robustness Testing of Language Understanding in Task-Oriented Dialog
Robustness Testing of Language Understanding in Task-Oriented Dialog
Jiexi Liu
Ryuichi Takanobu
Jiaxin Wen
Dazhen Wan
Hongguang Li
Weiran Nie
Cheng Li
Wei Peng
Minlie Huang
ELM
87
48
0
30 Dec 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural
  Language Understanding and Generation
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation
Dinghan Shen
Ming Zheng
Yelong Shen
Yanru Qu
Weizhu Chen
AAML
69
130
0
29 Sep 2020
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition
  Errors in the Dialog History? An Empirical Study
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical Study
Karthik Gopalakrishnan
Behnam Hedayatnia
Longshaokan Wang
Yang Liu
Dilek Z. Hakkani-Tür
28
24
0
18 Aug 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Marco Tulio Ribeiro
Tongshuang Wu
Carlos Guestrin
Sameer Singh
ELM
206
1,103
0
08 May 2020
Conditional Augmentation for Aspect Term Extraction via Masked
  Sequence-to-Sequence Generation
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
Kun Li
Chengbo Chen
Xiaojun Quan
Qing Ling
Yan Song
64
97
0
30 Apr 2020
Interpretability Analysis for Named Entity Recognition to Understand
  System Predictions and How They Can Improve
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve
Oshin Agarwal
Yinfei Yang
Byron C. Wallace
A. Nenkova
31
37
0
09 Apr 2020
Learning ASR-Robust Contextualized Embeddings for Spoken Language
  Understanding
Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding
Chao-Wei Huang
Yun-Nung Chen
41
43
0
24 Sep 2019
A Novel Bi-directional Interrelated Model for Joint Intent Detection and
  Slot Filling
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
Haihong E
Peiqing Niu
Zhongfu Chen
Meina Song
38
242
0
30 Jun 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason W. Wei
Kai Zou
105
1,953
0
31 Jan 2019
MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for
  Task-Oriented Dialogue Modelling
MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
Paweł Budzianowski
Tsung-Hsien Wen
Bo-Hsiang Tseng
I. Casanueva
Stefan Ultes
Osman Ramadan
Milica Gasic
154
1,314
0
29 Sep 2018
Sequence-to-Sequence Data Augmentation for Dialogue Language
  Understanding
Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding
Yutai Hou
Yijia Liu
Wanxiang Che
Ting Liu
63
151
0
04 Jul 2018
Snips Voice Platform: an embedded Spoken Language Understanding system
  for private-by-design voice interfaces
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
A. Coucke
Alaa Saade
Adrien Ball
Théodore Bluche
A. Caulier
...
Thibault Gisselbrecht
F. Caltagirone
Thibaut Lavril
Maël Primet
Joseph Dureau
SyDa
113
824
0
25 May 2018
Synthetic and Natural Noise Both Break Neural Machine Translation
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov
Yonatan Bisk
111
740
0
06 Nov 2017
Joint Online Spoken Language Understanding and Language Modeling with
  Recurrent Neural Networks
Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks
Bing-Quan Liu
Ian Lane
45
105
0
06 Sep 2016
Neural Architectures for Named Entity Recognition
Neural Architectures for Named Entity Recognition
Guillaume Lample
Miguel Ballesteros
Sandeep Subramanian
Kazuya Kawakami
Chris Dyer
219
2
0
04 Mar 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
264
19,045
0
20 Dec 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
447
7,660
0
03 Jul 2012
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