Research and Development

The Assessment of Language and the Evaluation of Natural Language Generation

Assessing Mathematics Exercises and Proofs

Automatic Assessment of Mathematics Exercises: Experiences and Future Prospects by Antti Rasila, Matti Harjula and Kai Zenger, Automatic Assessment of Problem-solving Skills in Mathematics by Cliff E. Beevers and Jane S. Paterson, Computer Aided Assessment of Mathematics by Chris Sangwin and Lurch: A Word Processor That Can Grade Students' Proofs by Nathan C. Carter and Kenneth G. Monks.

Assessing Essays and Open-ended Verbal Responses

Automated Analysis of Essays and Open-ended Verbal Responses by Arthur C. Graesser and Danielle S. McNamara, Use of Computers to Analyze and Score Essays and Open-ended Verbal Responses by Arthur C. Graesser and Danielle S. McNamara, Handbook of Automated Essay Evaluation: Current Applications and New Directions edited by Mark D. Shermis and Jill Burstein and Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features by Scott A. Crossley, Rod D. Roscoe and Danielle S. McNamara.

Assessing and Assisting Writing

Automated Writing Assessment in the Classroom by Mark Warschauer and Douglas Grimes, Automated Writing Assistance by Robert Dale, Checking in on Grammar Checking by Robert Dale, Identifying Writing Strategies through Text Analysis by Carel van Wijk and Ted Sanders, Text Structure as a Window on the Cognition of Writing by Ted Sanders and Joost Schilperoord and Rhetorical Structure Analysis as a Method for Understanding Writing Processes by Mark Torrance and Nadjet Bouayad-Agha.

Assessing Argumentation

Towards Automated Analysis of Student Arguments by Nancy L. Green, Foundations of Argumentative Text Processing by Pierre Coirier and Jerry Andriessen and Educational Technologies for Teaching Argumentation Skills by Niels Pinkwart and Bruce M. MacLaren.

Evaluating Natural Language Generation

Towards Evaluation in Natural Language Generation by Robert Dale and Chris Mellish, Evaluation in the Context of Natural Language Generation by Chris Mellish and Robert Dale, Evaluation Metrics for Generation by Srinivas Bangalore, Owen Rambow and Steve Whittaker, Comparing Automatic and Human Evaluation of NLG Systems by Anja Belz and Ehud Reiter, Evaluating the Effects of Natural Language Generation Techniques on Reader Satisfaction by Charles Callaway and James Lester and Survey of the State of the Art in Natural Language Generation: Core Tasks, Applications and Evaluation by Albert Gatt and Emiel Krahmer.