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1410.5877
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Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
21 October 2014
Michael Bloodgood
Chris Callison-Burch
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Papers citing
"Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation"
21 / 21 papers shown
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
International Conference on Computational Linguistics (COLING), 2024
Abdul Hameed Azeemi
I. Qazi
Agha Ali Raza
AI4CE
252
9
0
14 Mar 2024
Active Learning for NLP with Large Language Models
Xuesong Wang
134
3
0
14 Jan 2024
Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages
Zhong Zhou
Jan Niehues
Alexander Waibel
236
0
0
05 May 2023
COMET-QE and Active Learning for Low-Resource Machine Translation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
E. Chimoto
Bruce A. Bassett
271
13
0
27 Oct 2022
A Survey of Active Learning for Natural Language Processing
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
350
80
0
18 Oct 2022
Impact of Stop Sets on Stopping Active Learning for Text Classification
International Computer Science Conference (ICSC), 2022
Luke Kurlandski
Michael Bloodgood
271
3
0
08 Jan 2022
Phrase-level Active Learning for Neural Machine Translation
Conference on Machine Translation (WMT), 2021
Junjie Hu
Graham Neubig
AI4CE
353
14
0
21 Jun 2021
Active
2
^2
2
Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Rishi Hazra
Parag Dutta
Shubham Gupta
Mohammed Abdul Qaathir
Ambedkar Dukkipati
VLM
220
9
0
11 Mar 2021
A Survey of Deep Active Learning
ACM Computing Surveys (ACM CSUR), 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
511
1,416
0
30 Aug 2020
Active Imitation Learning with Noisy Guidance
Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Kianté Brantley
Amr Sharaf
Hal Daumé
247
25
0
26 May 2020
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
AAAI Conference on Artificial Intelligence (AAAI), 2020
Mingjun Zhao
Haijiang Wu
Di Niu
Xiaoli Wang
217
46
0
13 Apr 2020
Early Forecasting of Text Classification Accuracy and F-Measure with Active Learning
International Computer Science Conference (ICSC), 2020
T. Orth
Michael Bloodgood
AI4TS
101
2
0
20 Jan 2020
Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios
Otilia Stretcu
Graham Neubig
Barnabás Póczós
Tom Michael Mitchell
344
400
0
23 Mar 2019
The ARIEL-CMU Systems for LoReHLT18
Aditi Chaudhary
Siddharth Dalmia
Junjie Hu
Xinjian Li
Austin Matthews
...
Shabnam Tafreshi
Mona T. Diab
Efsun Sarioglu Kayi
N. Farra
Kathleen McKeown
VLM
226
5
0
24 Feb 2019
The Use of Unlabeled Data versus Labeled Data for Stopping Active Learning for Text Classification
Garrett Beatty
Ethan Kochis
Michael Bloodgood
90
20
0
26 Jan 2019
Stopping Active Learning based on Predicted Change of F Measure for Text Classification
Michael Altschuler
Michael Bloodgood
108
24
0
26 Jan 2019
Active Learning for Interactive Neural Machine Translation of Data Streams
Álvaro Peris
F. Casacuberta
AI4CE
270
61
0
30 Jul 2018
Support Vector Machine Active Learning Algorithms with Query-by-Committee versus Closest-to-Hyperplane Selection
Michael Bloodgood
111
24
0
24 Jan 2018
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection
Michael Bloodgood
Benjamin Strauss
213
5
0
25 Feb 2016
Translation Memory Retrieval Methods
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2014
Michael Bloodgood
Benjamin Strauss
99
23
0
21 May 2015
Analysis of Stopping Active Learning based on Stabilizing Predictions
Michael Bloodgood
John Grothendieck
113
22
0
23 Apr 2015
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