NLPExplorer
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WS - 2017
Total Papers:- 1406
Total Papers accross all years:- 21866
Total Citations :- 3170
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UHH Submission to the WMT17 Metrics Shared Task
Melania Duma |
Wolfgang Menzel |
LIMSI Submission for WMT’17 Shared Task on Bandit Learning
Guillaume Wisniewski |
Variable Mini-Batch Sizing and Pre-Trained Embeddings
Mostafa Abdou |
Vladan Glončák |
Ondřej Bojar |
The AFRL WMT17 Neural Machine Translation Training Task Submission
Jeremy Gwinnup |
Grant Erdmann |
Katherine Young |
Using a Graph-based Coherence Model in Document-Level Machine Translation
Leo Born |
Mohsen Mesgar |
Michael Strube |
A BiLSTM-based System for Cross-lingual Pronoun Prediction
Sara Stymne |
Sharid Loáiciga |
Fabienne Cap |
Predicting Pronouns with a Convolutional Network and an N-gram Model
Christian Hardmeier |
Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models
Harsh Jhamtani |
Varun Gangal |
Eduard Hovy |
Eric Nyberg |
Differences in type-token ratio and part-of-speech frequencies in male and female Russian written texts
Tatiana Litvinova |
Pavel Seredin |
Olga Litvinova |
Olga Zagorovskaya |
Stylistic Variation in Television Dialogue for Natural Language Generation
Grace Lin |
Marilyn Walker |
Approximating Style by N-gram-based Annotation
Melanie Andresen |
Heike Zinsmeister |
Continuous fluency tracking and the challenges of varying text complexity
Beata Beigman Klebanov |
Anastassia Loukina |
John Sabatini |
Tenaha O’Reilly |
Predicting Audience’s Laughter During Presentations Using Convolutional Neural Network
Lei Chen |
Chong Min Lee |
Exploring Relationships Between Writing & Broader Outcomes With Automated Writing Evaluation
Jill Burstein |
Dan McCaffrey |
Beata Beigman Klebanov |
Guangming Ling |
An Investigation into the Pedagogical Features of Documents
Emily Sheng |
Prem Natarajan |
Jonathan Gordon |
Gully Burns |
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