Home
Catalogue search
Refine your search:
Keyword
Creator / Publisher:
Shi, Haoyue (5)
Gimpel, Kevin (2)
Hu, Junfeng (2)
Shi, Haoyue Freda (2)
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (2)
Zettlemoyer, Luke (2)
Gupta, Vikram (1)
Jiang, Yuning (1)
Li, Caihua (1)
Livescu, Karen (1)
more
Year:
2021 (3)
2020 (1)
2018 (2)
2017 (1)
Medium
Type
BLLDB-Access
Search in the Catalogues and Directories
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
Sort by
creator [A → Z]
'
creator [Z → A]
'
publishing year ↑ (asc)
'
publishing year ↓ (desc)
'
title [A → Z]
'
title [Z → A]
'
Simple Search
Hits 1 – 7 of 7
1
Substructure Substitution: Structured Data Augmentation for NLP ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Gimpel, Kevin
;
Livescu, Karen
;
Shi, Haoyue Freda
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.findings-acl.307 Abstract: We study a family of data augmentation methods, substructure substitution (SUB2), that generalizes prior methods. SUB2 generates new examples by substituting substructures (e.g., subtrees or subsequences) with others having the same label. This idea can be applied to many structured NLP tasks such as part-of-speech tagging and parsing. For more general tasks (e.g., text classification) which do not have explicitly annotated substructures, we present variations of SUB2 based on text spans or parse trees, introducing structure-aware data augmentation methods to general NLP tasks. For most cases, training with a dataset augmented by SUB2 achieves better performance than training with the original training set. Further experiments show that SUB2 has more consistent performance than other investigated augmentation methods, across different tasks and sizes of the seed dataset. ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
Deep Learning
;
Electromagnetism
;
FOS Physical sciences
;
Information and Knowledge Engineering
;
Neural Network
;
Semantics
URL:
https://dx.doi.org/10.48448/j5e6-f206
https://underline.io/lecture/26398-substructure-substitution-structured-data-augmentation-for-nlp
BASE
Hide details
2
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ...
Shi, Haoyue
;
Zettlemoyer, Luke
;
Wang, Sida I.
. - : arXiv, 2021
BASE
Show details
3
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Shi, Haoyue Freda
;
Wang, Sida
. - : Underline Science Inc., 2021
BASE
Show details
4
Deep Clustering of Text Representations for Supervision-free Probing of Syntax ...
Gupta, Vikram
;
Shi, Haoyue
;
Gimpel, Kevin
. - : arXiv, 2020
BASE
Show details
5
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis ...
Shi, Haoyue
;
Sun, Yuqi
;
Hu, Junfeng
. - : arXiv, 2018
BASE
Show details
6
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples ...
Shi, Haoyue
;
Mao, Jiayuan
;
Xiao, Tete
. - : arXiv, 2018
BASE
Show details
7
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation ...
Shi, Haoyue
;
Li, Caihua
;
Hu, Junfeng
. - : arXiv, 2017
BASE
Show details
Mobile view
All
Catalogues
UB Frankfurt Linguistik
0
IDS Mannheim
0
OLC Linguistik
0
UB Frankfurt Retrokatalog
0
DNB Subject Category Language
0
Institut für Empirische Sprachwissenschaft
0
Leibniz-Centre General Linguistics (ZAS)
0
Bibliographies
BLLDB
0
BDSL
0
IDS Bibliografie zur deutschen Grammatik
0
IDS Bibliografie zur Gesprächsforschung
0
IDS Konnektoren im Deutschen
0
IDS Präpositionen im Deutschen
0
IDS OBELEX meta
0
MPI-SHH Linguistics Collection
0
MPI for Psycholinguistics
0
Linked Open Data catalogues
Annohub
0
Online resources
Link directory
0
Journal directory
0
Database directory
0
Dictionary directory
0
Open access documents
BASE
7
Linguistik-Repository
0
IDS Publikationsserver
0
Online dissertations
0
Language Description Heritage
0
© 2013 - 2024 Lin|gu|is|tik
|
Imprint
|
Privacy Policy
|
Datenschutzeinstellungen ändern