Abstract is missing.
- Scoring Persuasive Essays Using Opinions and their TargetsNoura Farra, Swapna Somasundaran, Jill Burstein. [doi]
- Front Matter [doi]
- Candidate evaluation strategies for improved difficulty prediction of language testsLisa Beinborn, Torsten Zesch, Iryna Gurevych. 1-11 [doi]
- Feature selection for automated speech scoringAnastassia Loukina, Klaus Zechner, Lei Chen 0004, Michael Heilman. 12-19 [doi]
- Incorporating Coherence of Topics as a Criterion in Automatic Response-to-Text Assessment of the Organization of WritingZahra Rahimi, Diane J. Litman, Elaine Wang, Richard Correnti. 20-30 [doi]
- Automatic morphological analysis of learner HungarianScott Ledbetter, Markus Dickinson. 31-41 [doi]
- Automated Scoring of Picture-based Story NarrationSwapna Somasundaran, Chong Min Lee, Martin Chodorow, Xinhao Wang. 42-48 [doi]
- Measuring Feature Diversity in Native Language IdentificationShervin Malmasi, Aoife Cahill. 49-55 [doi]
- Automated Evaluation of Scientific Writing: AESW Shared Task ProposalVidas Daudaravicius. 56-63 [doi]
- Towards Automatic Description of Knowledge ComponentsCyril Goutte, Guillaume Durand, Serge Léger. 75-80 [doi]
- The Impact of Training Data on Automated Short Answer Scoring PerformanceMichael Heilman, Nitin Madnani. 81-85 [doi]
- Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue SystemEvan Jaffe, Michael White, William Schuler, Eric Fosler-Lussier, Alex Rosenfeld, Douglas Danforth. 86-96 [doi]
- Identifying Patterns For Short Answer Scoring Using Graph-based Lexico-Semantic Text MatchingLakshmi Ramachandran, Jian Cheng, Peter W. Foltz. 97-106 [doi]
- Lark Trills for Language Drills: Text-to-speech technology for language learnersElena Volodina, Dijana Pijetlovic. 107-117 [doi]
- The Jinan Chinese Learner CorpusMaolin Wang, Shervin Malmasi, Mingxuan Huang. 118-123 [doi]
- Reducing Annotation Efforts in Supervised Short Answer ScoringTorsten Zesch, Michael Heilman, Aoife Cahill. 124-132 [doi]
- Annotation and Classification of Argumentative Writing RevisionsFan Zhang, Diane J. Litman. 133-143 [doi]
- Embarrassed or Awkward? Ranking Emotion Synonyms for ESL Learners' Appropriate WordingWei-Fan Chen, Mei-hua Chen, Lun-Wei Ku. 144-153 [doi]
- RevUP: Automatic Gap-Fill Question Generation from Educational TextsGirish Kumar, Rafael E. Banchs, Luis Fernando D'Haro. 154-161 [doi]
- Preliminary Experiments on Crowdsourced Evaluation of Feedback GranularityNitin Madnani, Martin Chodorow, Aoife Cahill, Melissa Lopez, Yoko Futagi, Yigal Attali. 162-171 [doi]
- Oracle and Human Baselines for Native Language IdentificationShervin Malmasi, Joel R. Tetreault, Mark Dras. 172-178 [doi]
- Using PEGWriting to Support the Writing Motivation and Writing Quality of Eighth-Grade Students: A Quasi-Experimental StudyJoshua Wilson, Trish Martin. 179-189 [doi]
- Towards Creating Pedagogic Views from Encyclopedic ResourcesDitty Mathew, Dhivya Eswaran, Sutanu Chakraborti. 190-195 [doi]
- Judging the Quality of Automatically Generated Gap-fill Question using Active LearningNobal Bikram Niraula, Vasile Rus. 196-206 [doi]
- Generating Reference Texts for Short Answer Scoring Using Graph-based SummarizationLakshmi Ramachandran, Peter W. Foltz. 207-212 [doi]
- Evaluating the performance of Automated Text Scoring systemsHelen Yannakoudakis, Ronan Cummins. 213-223 [doi]
- Task-Independent Features for Automated Essay GradingTorsten Zesch, Michael Wojatzki, Dirk Scholten-Akoun. 224-232 [doi]
- Using Learner Data to Improve Error Correction in Adjective-Noun CombinationsEkaterina Kochmar, Ted Briscoe. 233-242 [doi]
- Using NLP to Support Scalable Assessment of Short Free Text ResponsesAlistair Willis. 243-253 [doi]
- Automatically Scoring Freshman Writing: A Preliminary InvestigationCourtney Napoles, Chris Callison-Burch. 254-263 [doi]