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TweeNLP
API
Team
Yoonjung Choi
Number of Papers:- 11
Number of Citations:- 34
First ACL Paper:- 2013
Latest ACL Paper:- 2024
Venues:-
Findings
ACL
WMT
NAACL
WASSA
EMNLP
COLING
WS
*SEMEVAL
Co-Authors:-
Baeseong Park
Bishan Yang
Byeongwook Kim
Carmen Banea
Claire Cardie
Similar Authors:-
Suilen Hernandez Alvarado
Pedro Aniel Sanchez Mirabal
Yarelis Ruano Torres
Tatsuya Iwanari
Kohei Ohara
2024
2022
2021
2020
2014
2013
Modularized Multilingual NMT with Fine-grained Interlingua
NAACL
Sungjun Lim |
Yoonjung Choi |
Sangha Kim |
Data Augmentation for Inline Tag-Aware Neural Machine Translation
WMT
Yonghyun Ryu |
Yoonjung Choi |
Sangha Kim |
SRT’s Neural Machine Translation System for WMT22 Biomedical Translation Task
WMT
Yoonjung Choi |
Jiho Shin |
Yonghyun Ryu |
Sangha Kim |
Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement
EMNLP
WMT
HyoJung Han |
Seokchan Ahn |
Yoonjung Choi |
Insoo Chung |
Sangha Kim |
Kyunghyun Cho |
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task
EMNLP
WMT
Jiwan Kim |
Soyoon Park |
Sangha Kim |
Yoonjung Choi |
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation
EMNLP
Findings
Insoo Chung |
Byeongwook Kim |
Yoonjung Choi |
Se Jung Kwon |
Yongkweon Jeon |
Baeseong Park |
Sangha Kim |
Dongsoo Lee |
Joint Inference and Disambiguation of Implicit Sentiments via Implicature Constraints
COLING
Lingjia Deng |
Janyce Wiebe |
Yoonjung Choi |
+/-EffectWordNet: Sense-level Lexicon Acquisition for Opinion Inference
EMNLP
Yoonjung Choi |
Janyce Wiebe |
Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events
WASSA
WS
Yoonjung Choi |
Lingjia Deng |
Janyce Wiebe |
Benefactive/Malefactive Event and Writer Attitude Annotation
ACL
Lingjia Deng |
Yoonjung Choi |
Janyce Wiebe |
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge
*SEMEVAL
Carmen Banea |
Yoonjung Choi |
Lingjia Deng |
Samer Hassan |
Michael Mohler |
Bishan Yang |
Claire Cardie |
Rada Mihalcea |
Jan Wiebe |
Linguistic
Task
Approach
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