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ORCID12th BEA@EMNLP 2017: Copenhagen, Denmark
- Joel R. Tetreault, Jill Burstein, Claudia Leacock, Helen Yannakoudakis:
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-85-2 - Ulrike Padó:
Question Difficulty - How to Estimate Without Norming, How to Use for Automated Grading. 1-10 - Lifeng Jin, Michael White, Evan Jaffe
, Laura Zimmerman, Douglas Danforth:
Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System. 11-21 - Beata Beigman Klebanov, Anastassia Loukina, John Sabatini, Tenaha O'Reilly:
Continuous fluency tracking and the challenges of varying text complexity. 22-32 - Marek Rei, Helen Yannakoudakis:
Auxiliary Objectives for Neural Error Detection Models. 33-43 - Robyn Loughnane, Kate McCurdy, Peter Kolb, Stefan Selent:
Linked Data for Language-Learning Applications. 44-51 - Luca Lugini, Diane J. Litman:
Predicting Specificity in Classroom Discussion. 52-61 - Shervin Malmasi, Keelan Evanini, Aoife Cahill, Joel R. Tetreault, Robert A. Pugh, Christopher Hamill, Diane Napolitano, Yao Qian:
A Report on the 2017 Native Language Identification Shared Task. 62-75 - Arief Yudha Satria, Takenobu Tokunaga:
Evaluation of Automatically Generated Pronoun Reference Questions. 76-85 - Lei Chen, Chong Min Lee:
Predicting Audience's Laughter During Presentations Using Convolutional Neural Network. 86-90 - Andrew Caines, Emma Flint, Paula Buttery:
Collecting fluency corrections for spoken learner English. 91-100 - Jill Burstein, Dan McCaffrey, Beata Beigman Klebanov, Guangming Ling:
Exploring Relationships Between Writing & Broader Outcomes With Automated Writing Evaluation. 101-108 - Emily Sheng, Prem Natarajan, Jonathan Gordon, Gully Burns:
An Investigation into the Pedagogical Features of Documents. 109-120 - Victoria Yaneva, Constantin Orasan, Richard Evans, Omid Rohanian:
Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities. 121-132 - Arseny Tolmachev, Sadao Kurohashi:
Automatic Extraction of High-Quality Example Sentences for Word Learning Using a Determinantal Point Process. 133-142 - Shu Jiang, John Lee:
Distractor Generation for Chinese Fill-in-the-blank Items. 143-148 - Youmna Farag, Marek Rei, Ted Briscoe:
An Error-Oriented Approach to Word Embedding Pre-Training. 149-158 - Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch, Chong Min Lee:
Investigating neural architectures for short answer scoring. 159-168 - Anaïs Tack, Thomas François, Sophie Roekhaut, Cédrick Fairon:
Human and Automated CEFR-based Grading of Short Answers. 169-179 - Keisuke Sakaguchi, Courtney Napoles, Joel R. Tetreault:
GEC into the future: Where are we going and how do we get there? 180-187 - Marek Rei:
Detecting Off-topic Responses to Visual Prompts. 188-197 - Pavel Ircing, Jan Svec, Zbynek Zajíc, Barbora Hladká, Martin Holub:
Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques. 198-209 - Elham Mohammadi, Hadi Veisi, Hessam Amini:
Native Language Identification Using a Mixture of Character and Word N-grams. 210-216 - Sophia Chan, Maryam Honari Jahromi, Benjamin Benetti, Aazim Lakhani, Alona Fyshe:
Ensemble Methods for Native Language Identification. 217-223 - Radu Tudor Ionescu, Marius Popescu:
Can string kernels pass the test of time in Native Language Identification? 224-234 - Johannes Bjerva, Gintare Grigonyte, Robert Östling, Barbara Plank:
Neural Networks and Spelling Features for Native Language Identification. 235-239 - Sowmya Vajjala, Sagnik Banerjee:
A study of N-gram and Embedding Representations for Native Language Identification. 240-248 - Yunita Sari, Muhammad Rifqi Fatchurrahman, Meisyarah Dwiastuti:
A Shallow Neural Network for Native Language Identification with Character N-grams. 249-254 - Taraka Rama, Çagri Çöltekin:
Fewer features perform well at Native Language Identification task. 255-260 - Jonathan Gordon, Stephen Aguilar, Emily Sheng, Gully Burns:
Structured Generation of Technical Reading Lists. 261-270 - Sanja Stajner, Victoria Yaneva, Ruslan Mitkov, Simone Paolo Ponzetto:
Effects of Lexical Properties on Viewing Time per Word in Autistic and Neurotypical Readers. 271-281 - Robert Östling, Gintare Grigonyte:
Transparent text quality assessment with convolutional neural networks. 282-286 - Marek Rei, Mariano Felice, Zheng Yuan, Ted Briscoe:
Artificial Error Generation with Machine Translation and Syntactic Patterns. 287-292 - Ekaterina Kochmar, Ekaterina Shutova:
Modelling semantic acquisition in second language learning. 293-302 - Katherine Stasaski, Marti A. Hearst:
Multiple Choice Question Generation Utilizing An Ontology. 303-312 - Magdalena Wolska, Yulia Clausen:
Simplifying metaphorical language for young readers: A corpus study on news text. 313-318 - Farah Nadeem, Mari Ostendorf:
Language Based Mapping of Science Assessment Items to Skills. 319-326 - Shamil Chollampatt, Hwee Tou Ng:
Connecting the Dots: Towards Human-Level Grammatical Error Correction. 327-333 - Maria Chinkina, Detmar Meurers:
Question Generation for Language Learning: From ensuring texts are read to supporting learning. 334-344 - Courtney Napoles, Chris Callison-Burch:
Systematically Adapting Machine Translation for Grammatical Error Correction. 345-356 - Andrea Horbach, Dirk Scholten-Akoun, Yuning Ding, Torsten Zesch:
Fine-grained essay scoring of a complex writing task for native speakers. 357-366 - Cyril Goutte, Serge Léger:
Exploring Optimal Voting in Native Language Identification. 367-373 - Ilia Markov, Lingzhen Chen, Carlo Strapparava, Grigori Sidorov:
CIC-FBK Approach to Native Language Identification. 374-381 - Artur Kulmizev, Bo Blankers, Johannes Bjerva, Malvina Nissim, Gertjan van Noord, Barbara Plank, Martijn Wieling:
The Power of Character N-grams in Native Language Identification. 382-389 - Wen Li, Liang Zou:
Classifier Stacking for Native Language Identification. 390-397 - Marcos Zampieri, Alina Maria Ciobanu, Liviu P. Dinu:
Native Language Identification on Text and Speech. 398-404 - Charese Smiley, Sandra Kübler:
Native Language Identification using Phonetic Algorithms. 405-412 - Yoo Rhee Oh, Hyung-Bae Jeon, Hwa Jeon Song, Yun-Kyung Lee, Jeon-Gue Park, Yun-Keun Lee:
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017. 413-422 - Fábio N. Kepler, Ramón Fernandez Astudillo, Alberto Abad:
Fusion of Simple Models for Native Language Identification. 423-429 - Andrea Cimino, Felice Dell'Orletta:
Stacked Sentence-Document Classifier Approach for Improving Native Language Identification. 430-437 - Ana Valeria González-Garduño, Anders Søgaard:
Using Gaze to Predict Text Readability. 438-443 - Ronja Laarmann-Quante, Katrin Ortmann, Anna Ehlert, Maurice Vogel, Stefanie Dipper:
Annotating Orthographic Target Hypotheses in a German L1 Learner Corpus. 444-456 - Nitin Madnani, Anastassia Loukina, Aoife Cahill:
A Large Scale Quantitative Exploration of Modeling Strategies for Content Scoring. 457-467
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