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A Comparison of Techniques to Automatically Identify Complex Words.
Matthew Shardlow
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
Citations
URL
Understanding the Lexical Simplification Needs of Non-Native Speakers of English
Gustavo Paetzold
|
Lucia Specia
|
Collecting and Exploring Everyday Language for Predicting Psycholinguistic Properties of Words
Gustavo Paetzold
|
Lucia Specia
|
Personalized Text Retrieval for Learners of Chinese as a Foreign Language
Chak Yan Yeung
|
John Lee
|
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Mounica Maddela
|
Wei Xu
|
Evaluating Lexical Simplification and Vocabulary Knowledge for Learners of French: Possibilities of Using the FLELex Resource
Anaïs Tack
|
Thomas François
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Anne-Laure Ligozat
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Cédrick Fairon
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Benchmarking Lexical Simplification Systems
Gustavo Paetzold
|
Lucia Specia
|
Korean L2 Vocabulary Prediction: Can a Large Annotated Corpus be Used to Train Better Models for Predicting Unknown Words?
Kevin Yancey
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Yves Lepage
|
Reliable Lexical Simplification for Non-Native Speakers
Gustavo Paetzold
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Simplification Using Paraphrases and Context-Based Lexical Substitution
Reno Kriz
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Eleni Miltsakaki
|
Marianna Apidianaki
|
Chris Callison-Burch
|
Towards Generating Personalized Hospitalization Summaries
Sabita Acharya
|
Barbara Di Eugenio
|
Andrew Boyd
|
Richard Cameron
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Karen Dunn Lopez
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Pamela Martyn-Nemeth
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Carolyn Dickens
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Amer Ardati
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SemEval 2016 Task 11: Complex Word Identification
Gustavo Paetzold
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Lucia Specia
|
USAAR at SemEval-2016 Task 11: Complex Word Identification with Sense Entropy and Sentence Perplexity
José Manuel Martínez Martínez
|
Liling Tan
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Sensible at SemEval-2016 Task 11: Neural Nonsense Mangled in Ensemble Mess
Gillin Nat
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SV000gg at SemEval-2016 Task 11: Heavy Gauge Complex Word Identification with System Voting
Gustavo Paetzold
|
Lucia Specia
|
Melbourne at SemEval 2016 Task 11: Classifying Type-level Word Complexity using Random Forests with Corpus and Word List Features
Julian Brooke
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Alexandra Uitdenbogerd
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Timothy Baldwin
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MAZA at SemEval-2016 Task 11: Detecting Lexical Complexity Using a Decision Stump Meta-Classifier
Shervin Malmasi
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Marcos Zampieri
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LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles
Shervin Malmasi
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Mark Dras
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Marcos Zampieri
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MacSaar at SemEval-2016 Task 11: Zipfian and Character Features for ComplexWord Identification
Marcos Zampieri
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Liling Tan
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Josef van Genabith
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Garuda & Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models
Prafulla Choubey
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Shubham Pateria
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TALN at SemEval-2016 Task 11: Modelling Complex Words by Contextual, Lexical and Semantic Features
Francesco Ronzano
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Ahmed Abura’ed
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Luis Espinosa-Anke
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Horacio Saggion
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IIIT at SemEval-2016 Task 11: Complex Word Identification using Nearest Centroid Classification
Ashish Palakurthi
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Radhika Mamidi
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The CW Corpus: A New Resource for Evaluating the Identification of Complex Words
Matthew Shardlow
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Complex Word Identification: Challenges in Data Annotation and System Performance
Marcos Zampieri
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Shervin Malmasi
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Gustavo Paetzold
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Lucia Specia
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A Report on the Complex Word Identification Shared Task 2018
Seid Muhie Yimam
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Chris Biemann
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Shervin Malmasi
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Gustavo Paetzold
|
Lucia Specia
|
Sanja Štajner
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Anaïs Tack
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Marcos Zampieri
|
Towards Single Word Lexical Complexity Prediction
David Alfter
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Elena Volodina
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Cross-lingual complex word identification with multitask learning
Joachim Bingel
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Johannes Bjerva
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UnibucKernel: A kernel-based learning method for complex word identification
Andrei Butnaru
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Radu Tudor Ionescu
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CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting
Sian Gooding
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Ekaterina Kochmar
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Complex Word Identification Based on Frequency in a Learner Corpus
Tomoyuki Kajiwara
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Mamoru Komachi
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Deep Learning Architecture for Complex Word Identification
Dirk De Hertog
|
Anaïs Tack
|
http://morphadorner.northwestern.edu/
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