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Front matter |
pages |
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The Effect of Multiple Grammatical Errors on Processing Non-Native Writing
Courtney Napoles, Aoife Cahill and Nitin Madnani |
pp. 1–11 |
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Text Readability Assessment for Second Language Learners
Menglin Xia, Ekaterina Kochmar and Ted Briscoe |
pp. 12–22 |
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Automatic Generation of Context-Based Fill-in-the-Blank Exercises Using Co-occurrence Likelihoods and Google n-grams
Jennifer Hill and Rahul Simha |
pp. 23–30 |
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Automated classification of collaborative problem solving interactions in simulated science tasks
Michael Flor, Su-Youn Yoon, Jiangang Hao, Lei Liu and Alina von Davier |
pp. 31–41 |
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Computer-assisted stylistic revision with incomplete and noisy feedback. A pilot study
Christian M. Meyer and Johann Frerik Koch |
pp. 42–52 |
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A Report on the Automatic Evaluation of Scientific Writing Shared Task
Vidas Daudaravicius, Rafael E. Banchs, Elena Volodina and Courtney Napoles |
pp. 53–62 |
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Topicality-Based Indices for Essay Scoring
Beata Beigman Klebanov, Michael Flor and Binod Gyawali |
pp. 63–72 |
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Predicting the Spelling Difficulty of Words for Language Learners
Lisa Beinborn, Torsten Zesch and Iryna Gurevych |
pp. 73–83 |
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Characterizing Text Difficulty with Word Frequencies
Xiaobin Chen and Detmar Meurers |
pp. 84–94 |
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Unsupervised Modeling of Topical Relevance in L2 Learner Text
Ronan Cummins, Helen Yannakoudakis and Ted Briscoe |
pp. 95–104 |
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UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection
Dan Flickinger, Michael Goodman and Woodley Packard |
pp. 105–111 |
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Shallow Semantic Reasoning from an Incomplete Gold Standard for Learner Language
Levi King and Markus Dickinson |
pp. 112–121 |
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The NTNU-YZU System in the AESW Shared Task: Automated Evaluation of Scientific Writing Using a Convolutional Neural Network
Lung-Hao Lee, Bo-Lin Lin, Liang-Chih Yu and Yuen-Hsien Tseng |
pp. 122–129 |
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Automated scoring across different modalities
Anastassia Loukina and Aoife Cahill |
pp. 130–135 |
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Model Combination for Correcting Preposition Selection Errors
Nitin Madnani, Michael Heilman and Aoife Cahill |
pp. 136–141 |
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Pictogrammar: an AAC device based on a semantic grammar
Fernando Martínez-Santiago, Miguel Ángel García Cumbreras, Arturo Montejo Ráez and Manuel Carlos Díaz Galiano |
pp. 142–150 |
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Detecting Context Dependence in Exercise Item Candidates Selected from Corpora
Ildikó Pilán |
pp. 151–161 |
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Feature-Rich Error Detection in Scientific Writing Using Logistic Regression
Madeline Remse, Mohsen Mesgar and Michael Strube |
pp. 162–171 |
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Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises
Michael Wojatzki, Oren Melamud and Torsten Zesch |
pp. 172–181 |
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Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context
Rajendra Banjade, Nabin Maharjan, Nobal Bikram Niraula, Dipesh Gautam, Borhan Samei and Vasile Rus |
pp. 182–187 |
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Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language Learners
Maria Chinkina and Detmar Meurers |
pp. 188–198 |
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Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student Writing
Beata Beigman Klebanov, Jill Burstein, Judith Harackiewicz, Stacy Priniski and Matthew Mulholland |
pp. 199–205 |
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Cost-Effectiveness in Building a Low-Resource Morphological Analyzer for Learner Language
Scott Ledbetter and Markus Dickinson |
pp. 206–216 |
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Automatically Scoring Tests of Proficiency in Music Instruction
Nitin Madnani, Aoife Cahill and Brian Riordan |
pp. 217–222 |
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Combined Tree Kernel-based classifiers for Assessing Quality of Scientific Text
Liliana Mamani Sanchez and Hector-Hugo Franco-Penya |
pp. 223–228 |
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Augmenting Course Material with Open Access Textbooks
Smitha Milli and Marti A. Hearst |
pp. 229–234 |
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Exploring the Intersection of Short Answer Assessment, Authorship Attribution, and Plagiarism Detection
Björn Rudzewitz |
pp. 235–241 |
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Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction
Allen Schmaltz, Yoon Kim, Alexander M. Rush and Stuart Shieber |
pp. 242–251 |
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Combining Off-the-shelf Grammar and Spelling Tools for the Automatic Evaluation of Scientific Writing (AESW) Shared Task 2016
René Witte and Bahar Sateli |
pp. 252–255 |
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Candidate re-ranking for SMT-based grammatical error correction
Zheng Yuan, Ted Briscoe and Mariano Felice |
pp. 256–266 |
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Spoken Text Difficulty Estimation Using Linguistic Features
Su-Youn Yoon, Yeonsuk Cho and Diane Napolitano |
pp. 267–276 |
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Automatically Extracting Topical Components for a Response-to-Text Writing Assessment
Zahra Rahimi and Diane Litman |
pp. 277–282 |
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Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essays
Marek Rei and Ronan Cummins |
pp. 283–288 |
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Insights from Russian second language readability classification: complexity-dependent training requirements, and feature evaluation of multiple categories
Robert Reynolds |
pp. 289–300 |
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Investigating Active Learning for Short-Answer Scoring
Andrea Horbach and Alexis Palmer |
pp. 301–311 |
Last modified on June 10, 2016, 11:44 p.m.