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Efficient Elicitation of Annotations for Human Evaluation of Machine Translation
Keisuke Sakaguchi
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Matt Post
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Benjamin Van Durme
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland, USA
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
A Reassessment of Reference-Based Grammatical Error Correction Metrics
Shamil Chollampatt
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Hwee Tou Ng
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Human Effort and Machine Learnability in Computer Aided Translation
Spence Green
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Sida I. Wang
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Jason Chuang
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Jeffrey Heer
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Sebastian Schuster
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Christopher D. Manning
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Human Evaluation of Grammatical Error Correction Systems
Roman Grundkiewicz
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Marcin Junczys-Dowmunt
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Edward Gillian
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ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks
Rohit Gupta
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Constantin Orăsan
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Josef van Genabith
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IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations
Naoki Otani
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Toshiaki Nakazawa
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Daisuke Kawahara
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Sadao Kurohashi
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JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction
Courtney Napoles
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Keisuke Sakaguchi
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Joel Tetreault
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Grammatical Error Correction with Neural Reinforcement Learning
Keisuke Sakaguchi
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Matt Post
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Benjamin Van Durme
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A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Juraj Juraska
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Panagiotis Karagiannis
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Kevin Bowden
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Marilyn Walker
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Ground Truth for Grammatical Error Correction Metrics
Courtney Napoles
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Keisuke Sakaguchi
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Matt Post
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Joel Tetreault
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Efficient Online Scalar Annotation with Bounded Support
Keisuke Sakaguchi
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Benjamin Van Durme
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Automatic Metric Validation for Grammatical Error Correction
Leshem Choshen
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Omri Abend
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Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality
Keisuke Sakaguchi
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Courtney Napoles
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Matt Post
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Joel Tetreault
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Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.
Gerasimos Lampouras
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Andreas Vlachos
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Towards Efficient Machine Translation Evaluation by Modelling Annotators
Nitika Mathur
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Timothy Baldwin
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Trevor Cohn
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Findings of the 2014 Workshop on Statistical Machine Translation
Ondřej Bojar
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Christian Buck
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Christian Federmann
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Barry Haddow
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Philipp Koehn
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Johannes Leveling
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Christof Monz
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Pavel Pecina
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Matt Post
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Herve Saint-Amand
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Radu Soricut
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Lucia Specia
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Aleš Tamchyna
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Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral
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Sheila Castilho
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Ke Hu
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Andy Way
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End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
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Falcon Dai
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Henry Elder
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Alexander Rush
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Char2char Generation with Reranking for the E2E NLG Challenge
Shubham Agarwal
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Marc Dymetman
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Éric Gaussier
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E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language
Henry Elder
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Sebastian Gehrmann
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Alexander O’Connor
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Qun Liu
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E2E NLG Challenge: Neural Models vs. Templates
Yevgeniy Puzikov
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Iryna Gurevych
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The E2E NLG Challenge: A Tale of Two Systems
Charese Smiley
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Elnaz Davoodi
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Dezhao Song
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Frank Schilder
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No URLs Found
Field Of Study
Task
Machine Translation
Approach
Bayesian Model
Graphical Model
Language
English
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