| Automated Evaluation of Writing – 50 Years and Counting | 0 | 0.34 | 2020 |
| Detecting learning in noisy data - the case of oral reading fluency. | 0 | 0.34 | 2020 |
| Would you?: Could you? On a tablet? Analytics of Children's eBook Reading | 0 | 0.34 | 2019 |
| My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers. | 0 | 0.34 | 2019 |
| Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToRead | 0 | 0.34 | 2019 |
| Using exemplar responses for training and evaluating automated speech scoring systems. | 0 | 0.34 | 2018 |
| Metaphor: A Computational Perspective Tony Veale, Ekaterina Shutova, and Beata Beigman Klebanov (University College Dublin, University of Cambridge, Educational Testing Service)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 31), 2016, xi+148 pp; paperback, ISBN 9781627058506, $55.00; ebook, ISBN 9781627058513; doi: 10.2200/S00694ED1V01Y201601HLT031. | 0 | 0.34 | 2018 |
| Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers. | 1 | 0.35 | 2018 |
| A Corpus of Non-Native Written English Annotated for Metaphor. | 1 | 0.34 | 2018 |
| Towards Understanding Text Factors in Oral Reading. | 1 | 0.48 | 2018 |
| Catching Idiomatic Expressions in EFL Essays. | 0 | 0.34 | 2018 |
| A Report on the 2018 VUA Metaphor Detection Shared Task. | 1 | 0.38 | 2018 |
| Detecting Good Arguments In A Non-Topic-Specific Way: An Oxymoron? | 1 | 0.34 | 2017 |
| Exploring Relationships Between Writing & Broader Outcomes With Automated Writing Evaluation. | 0 | 0.34 | 2017 |
| Continuous fluency tracking and the challenges of varying text complexity. | 0 | 0.34 | 2017 |
| Reflective Writing About the Utility Value of Science as a Tool for Increasing STEM Motivation and Retention - Can AI Help Scale Up? | 0 | 0.34 | 2017 |
| Developing speech processing technologies for shared book reading with a computer. | 0 | 0.34 | 2017 |
| Argumentation: Content, Structure, and Relationship with Essay Quality. | 5 | 0.59 | 2016 |
| Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student Writing. | 1 | 0.34 | 2016 |
| Topicality-Based Indices for Essay Scoring. | 2 | 0.36 | 2016 |
| Semantic Classifications For Detection Of Verb Metaphors | 1 | 0.41 | 2016 |
| ETS Lexical Associations System for the COGALEX-4 Shared Task | 0 | 0.34 | 2014 |
| Difficult Cases: From Data To Learning, And Back | 0 | 0.34 | 2014 |
| Content Importance Models For Scoring Writing From Sources | 8 | 0.50 | 2014 |
| Applying Argumentation Schemes for Essay Scoring | 15 | 0.75 | 2014 |
| Using Pivot-Based Paraphrasing and Sentiment Profiles to Improve a Subjectivity Lexicon for Essay Data. | 1 | 0.35 | 2013 |
| Sentiment profiles of multiword expressions in test-taker essays: The case of noun-noun compounds | 3 | 0.41 | 2013 |
| Associative Texture is Lost in Translation | 2 | 0.39 | 2013 |
| Word Association Profiles and their Use for Automated Scoring of Essays. | 5 | 0.49 | 2013 |
| Measuring the use of factual information in test-taker essays | 3 | 0.51 | 2012 |
| Building subjectivity lexicon(s) from scratch for essay data | 5 | 0.47 | 2012 |
| A game-theoretic model of metaphorical bargaining | 0 | 0.34 | 2010 |
| Some empirical evidence for annotation noise in a benchmarked dataset | 2 | 0.44 | 2010 |
| Vocabulary choice as an indicator of perspective | 12 | 0.66 | 2010 |
| Learning with annotation noise | 8 | 0.72 | 2009 |
| From annotator agreement to noise models | 27 | 1.41 | 2009 |
| Reader-based exploration of lexical cohesion. | 0 | 0.34 | 2007 |
| Measuring semantic relatedness using people and WordNet | 3 | 0.42 | 2006 |
| On Lexical Cohesive Behavior of Heads of Definite Descriptions: A Case Study | 0 | 0.34 | 2006 |
| Reader-based exploration of lexical cohesion. | 2 | 0.42 | 2006 |
| Lexical Cohesion: Some Implications of an Empirical Study | 0 | 0.34 | 2005 |
| Using readers to identify lexical cohesive structures in texts | 3 | 0.48 | 2005 |
| Text Simplification for Information-Seeking Applications | 24 | 1.37 | 2004 |
