Seminar on Natural Language Processing 2019/20 fall

Topics

Introduction

1. Why grammar checker is impossible.
   Les Perelman. Grammar Checkers Do Not Work
   Submit your review here
   
2. Rule-based.
   Lionel Clément, Kim Gerdes, Renaud Marlet.
   A Grammar Correction Algorithm – Deep Parsing and Minimal Corrections for a Grammar Checker
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3. Classifiers.
   Alla Rozovskaya, Kai-Wei Chang, Mark Sammons and Dan Roth. 2013.
   The university of illinois system in the conll-2013 shared task
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4. Statistical MT
   Zheng Yuan and Mariano Felice. 2013.
   Constrained grammatical error correction using statistical machine translation
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5. NMT
   Marcin Junczys-Dowmunt, Roman Grundkiewicz, Shubha Guha, Kenneth Heafield: 2018
   Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
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6. Zero-shot NMT
   Elizaveta Korotkova, Agnes Luhtaru, Maksym Del, Krista Liin, Daiga Deksne, Mark Fishel
   Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation
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7. Hybrid.
   Yoav Kantor, Yoav Katz, Leshem Choshen, Edo Cohen-Karlik, Naftali Liberman, Assaf Toledo, Amir Menczel, Noam Slonim.
   Learning to combine Grammatical Error Corrections
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8. Hypotheses representation. (FST as sentence representation)
   Felix Stahlberg, Christopher Bryant, Bill Byrne
   Neural Grammatical Error Correction with Finite State Transducers
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9. Error types (noisy channel metaphore)
   Simon Flachs, Oph ́elie Lacroix, Anders Søgaard.
   Noisy Channel for Low Resource Grammatical Error Correction
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10. Evaluation metrics
    Christopher Bryant, Mariano Felice, and Ted Briscoe.
    Automatic annotation and evaluation of errortypes for grammatical error correction
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11. Training and development corpus
    Christopher Bryant, Mariano Felice, Øistein E. Andersen, Ted Briscoe
    The BEA-2019 Shared Task on Grammatical Error Correction
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12. Error synthesis
    Shuyao Xu, Jiehao Zhang, Jin Chen, Long Qin
    Erroneous data generation for Grammatical Error Correction
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