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Johnny Tian-Zheng Wei
Johnny Tian-Zheng Wei
Подтвержден адрес электронной почты в домене usc.edu - Главная страница
Название
Процитировано
Процитировано
Год
Results of the WMT19 metrics shared task: Segment-level and strong MT systems pose big challenges
Q Ma, JTZ Wei, O Bojar, Y Graham
WMT 2019, 2019
1892019
Results of the WMT20 metrics shared task
N Mathur, J Wei, M Freitag, Q Ma, O Bojar
WMT 2020, 2020
1312020
Better automatic evaluation of open-domain dialogue systems with contextualized embeddings
S Ghazarian, JTZ Wei, A Galstyan, N Peng
NeuralGen at ACL 2019, 2019
902019
MathBot: A personalized conversational agent for learning math
W Cai, J Grossman, Z Lin, H Sheng, JTZ Wei, JJ Williams, S Goel
86*2019
Twitter universal dependency parsing for African-American and mainstream American English
SL Blodgett, J Wei, B O’Connor
ACL 2018, 2018
682018
A dataset and classifier for recognizing social media english
SL Blodgett, J Wei, B O’Connor
WNUT at EMNLP 2017, 2017
282017
The statistical advantage of automatic NLG metrics at the system level
JTZ Wei, R Jia
ACL 2021, 2021
152021
Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema.
HS Chang, A Munir, A Liu, JTZ Wei, A Traylor, A Nagesh, N Monath, ...
TAC 2016, 2016
102016
Searching for a higher power in the human evaluation of MT
JTZ Wei, T Kocmi, C Federmann
WMT 2022, 2022
42022
Evaluating grammaticality in seq2seq models with a broad coverage HPSG grammar: A case study on machine translation
J Wei, K Pham, B O’Connor, BW Dillon
BlackboxNLP at EMNLP 2018, 2018
42018
Operationalizing content moderation "accuracy'' in the Digital Services Act
JTZ Wei, F Zufall, R Jia
arXiv preprint arXiv:2305.09601, 2023
22023
Proving membership in LLM pretraining data via data watermarks
JTZ Wei, RY Wang, R Jia
arXiv preprint arXiv:2402.10892, 2024
2024
On conducting better validation studies of automatic metrics in natural language generation evaluation
JTZ Wei
2019
Grammaticality in neural natural language generation
JTZ Wei
2019
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Статьи 1–14