Abstract is missing.
- Front Matter [doi]
- The Effect of Multiple Grammatical Errors on Processing Non-Native WritingCourtney Napoles, Aoife Cahill, Nitin Madnani. 1-11 [doi]
- Text Readability Assessment for Second Language LearnersMenglin Xia, Ekaterina Kochmar, Ted Briscoe. 12-22 [doi]
- Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-gramsJennifer Hill, Rahul Simha. 23-30 [doi]
- Automated classification of collaborative problem solving interactions in simulated science tasksMichael Flor, Su-Youn Yoon, Jiangang Hao, Lei Liu, Alina Von Davier. 31-41 [doi]
- Computer-assisted stylistic revision with incomplete and noisy feedback. A pilot studyChristian M. Meyer, Johann Frerik Koch. 42-52 [doi]
- A Report on the Automatic Evaluation of Scientific Writing Shared TaskVidas Daudaravicius, Rafael E. Banchs, Elena Volodina, Courtney Napoles. 53-62 [doi]
- Topicality-Based Indices for Essay ScoringBeata Beigman Klebanov, Michael Flor, Binod Gyawali. 63-72 [doi]
- Predicting the Spelling Difficulty of Words for Language LearnersLisa Beinborn, Torsten Zesch, Iryna Gurevych. 73-83 [doi]
- Characterizing Text Difficulty with Word FrequenciesXiaobin Chen, Detmar Meurers. 84-94 [doi]
- Unsupervised Modeling of Topical Relevance in L2 Learner TextRonan Cummins, Helen Yannakoudakis, Ted Briscoe. 95-104 [doi]
- UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error DetectionDan Flickinger, Michael Goodman, Woodley Packard. 105-111 [doi]
- Shallow Semantic Reasoning from an Incomplete Gold Standard for Learner LanguageLevi King, Markus Dickinson. 112-121 [doi]
- The NTNU-YZU System in the AESW Shared Task: Automated Evaluation of Scientific Writing Using a Convolutional Neural NetworkLung-Hao Lee, Bo-Lin Lin, Liang-Chih Yu, Yuen-Hsien Tseng. 122-129 [doi]
- Automated scoring across different modalitiesAnastassia Loukina, Aoife Cahill. 130-135 [doi]
- Model Combination for Correcting Preposition Selection ErrorsNitin Madnani, Michael Heilman, Aoife Cahill. 136-141 [doi]
- Pictogrammar: an AAC device based on a semantic grammarFernando Martínez Santiago, Miguel Ángel García Cumbreras, Arturo Montejo Ráez, Manuel Carlos Díaz-Galiano. 142-150 [doi]
- Detecting Context Dependence in Exercise Item Candidates Selected from CorporaIldikó Pilán. 151-161 [doi]
- Feature-Rich Error Detection in Scientific Writing Using Logistic RegressionMadeline Remse, Mohsen Mesgar, Michael Strube. 162-171 [doi]
- Bundled Gap Filling: A New Paradigm for Unambiguous Cloze ExercisesMichael Wojatzki, Oren Melamud, Torsten Zesch. 172-181 [doi]
- Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue ContextRajendra Banjade, Nabin Maharjan, Nobal Bikram Niraula, Dipesh Gautam, Borhan Samei, Vasile Rus. 182-187 [doi]
- Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language LearnersMaria Chinkina, Detmar Meurers. 188-198 [doi]
- Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student WritingBeata Beigman Klebanov, Jill Burstein, Judith Harackiewicz, Stacy Priniski, Matthew Mulholland. 199-205 [doi]
- Cost-Effectiveness in Building a Low-Resource Morphological Analyzer for Learner LanguageScott Ledbetter, Markus Dickinson. 206-216 [doi]
- Automatically Scoring Tests of Proficiency in Music InstructionNitin Madnani, Aoife Cahill, Brian Riordan. 217-222 [doi]
- Combined Tree Kernel-based classifiers for Assessing Quality of Scientific TextLiliana Mamani Sanchez, Hector-Hugo Franco-Penya. 223-228 [doi]
- Augmenting Course Material with Open Access TextbooksSmitha Milli, Marti A. Hearst. 229-234 [doi]
- Exploring the Intersection of Short Answer Assessment, Authorship Attribution, and Plagiarism DetectionBjörn Rudzewitz. 235-241 [doi]
- Sentence-Level Grammatical Error Identification as Sequence-to-Sequence CorrectionAllen Schmaltz, Yoon Kim, Alexander M. Rush, Stuart M. Shieber. 242-251 [doi]
- Combining Off-the-shelf Grammar and Spelling Tools for the Automatic Evaluation of Scientific Writing (AESW) Shared Task 2016René Witte, Bahar Sateli. 252-255 [doi]
- Candidate re-ranking for SMT-based grammatical error correctionZheng Yuan, Ted Briscoe, Mariano Felice. 256-266 [doi]
- Spoken Text Difficulty Estimation Using Linguistic FeaturesSu-Youn Yoon, Yeonsuk Cho, Diane Napolitano. 267-276 [doi]
- Automatically Extracting Topical Components for a Response-to-Text Writing AssessmentZahra Rahimi, Diane J. Litman. 277-282 [doi]
- Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner EssaysMarek Rei, Ronan Cummins. 283-288 [doi]
- Insights from Russian second language readability classification: complexity-dependent training requirements, and feature evaluation of multiple categoriesRobert Reynolds. 289-300 [doi]
- Investigating Active Learning for Short-Answer ScoringAndrea Horbach, Alexis Palmer. 301-311 [doi]