Flor Paper in Proceedings of best the 51st Annual meeting of the Association for Computational Linguistics (Volume 1: Long Papers). The authors describe a new representation of the content vocabulary in a text, which they refer to as "word association profile." The paper presents a study of the relationship between quality of writing and word association profiles. Learn more about this publication robust Systems for Preposition Error Correction Using wikipedia revisions. Napolitano In Proceedings of the conference of the north American Chapter of the Association for Computational Linguistics: Human Language technologies,. This paper addresses the lack of generalizability in preposition error correction systems across different test sets. The authors then present a large new annotated corpus to be used in training such systems, and illustrate the use of the corpus in training systems across three separate test sets. Learn more about this publication detecting Missing Hyphens in learner Text. Madnani In Proceedings of the eighth Workshop on Innovative use of nlp for building Educational Applications,.
Paper in Proceedings of coling 2014, the 25th International Conference on Computational Linguistics: Technical Papers,. 950961 Researchers investigated a technique known as lexical chaining for measuring discourse coherence quality in test-taker essays. In this paper, they describe the contexts in which they achieved the best system performance. Learn more about this publication applying Argumentation Schemes for Essay scoring. Deane paper in Proceedings of the first Workshop on Argumentation Mining,. 6978 In this paper, the authors develop an annotation approach based on the theory of argumentation schemes to needed analyze the structure of arguments and implement an nlp system for automatically predicting where critical questions are raised in essays. Learn more about this publication 2013 Handbook of Automated Essay evaluation: Current Applications and New Directions. Burstein This comprehensive, interdisciplinary handbook reviews the latest methods and technologies used in automated essay evaluation (AEE) methods and technologies. Learn more about this publication word Association Profiles and their Use for Automated Scoring of Essays.
Beigman Paper in Proceedings of the 52nd Annual meeting of the Association for Computational Linguistics, (Short Papers. 390396 This paper addresses cases in annotated datasets that are difficult to annotate reliably. Using a semantic annotation task, the authors provide empirical evidence that difficult cases can thwart supervised machine learning on the one hand and provide valuable insights into the characteristics of the data representation chosen for the task on the other. Learn more about this publication different Texts, same metaphors: Unigrams and beyond. Flor (2014) Paper in Proceedings of the second Workshop on Metaphor in nlp,. 1117 This paper describes the development of a supervised learning system to classify all content words in a running text as either being used metaphorically or not. Learn more about this publication lexical Chaining for measuring Discourse coherence quality in Test-taker Essays. Chodorow In The 25th International Conference on Computational Linguistics (coling dublin, Ireland, august 2329, 2014.
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Learn more about this publication using Writing Process and Product features to Assess Writing quality and Explore how Those features Relate to Other Literacy tasks. Deane ets research Report. Rr-14-03 This report explores automated methods for measuring features of student writing and determining its relationship to writing quality and other features of literacy, such as reading test scores. The e-rater automated essay-scoring system and keystroke logging are a central focus. Learn more about this publication predicting Grammaticality on an Ordinal Scale. Tetreault analysis Paper in Proceedings of the 52nd Annual meeting of the Association for Computational Linguistics, (Short Papers.
174180 This paper describes a system for predicting the grammaticality typewriter of sentences on an ordinal scale. Such a system could be used in educational applications such as essay scoring. Learn more about this publication an Explicit feedback system for Preposition Errors based on wikipedia revisions. Cahill Paper in Proceedings of the ninth Workshop on Innovative use of nlp for building Educational Applications,. 7988 In this paper, the authors describe a novel tool they developed to provide automated explicit feedback to language learners based on data mined from wikipedia revisions. They demonstrate how the tool works for the task of identifying preposition selection errors. Learn more about this publication difficult Cases: From Data to learning and Back.
handbook of Writing Research, 2nd Edition guilford Press. The authors present automated writing evaluation in terms of the categories of evidence that are used to demonstrate that these systems are useful in teaching and assessing writing. Learn more about this publication automated Analysis of Text in Graduate School Recommendations. Ets research Report. Rr-15-23, this report explores evaluation of sentiment in letters of recommendation.
Researchers developed and evaluated an approach to analyzing recommendations that involves (a) identifying which sentences are actually about the student; (b) measuring specificity; (c) measuring sentiment; and (d) predicting recommender ratings. Learn more about this publication patterns of Misspellings in L2 and L1 English: a view from the ets spelling Corpus. Bergen Language and Linguistics Studies, vol. This paper presents a study of misspellings, based on annotated data from etss spelling corpus. Researchers examined data from the toefl and gre tests and found that the rate of misspellings decreased as writing proficiency (essay score) increased for test takers in both testing programs. Learn more about this publication 2014 Content Importance models for Scoring Writing From sources. Somasundaran Paper in Proceedings of the 52nd Annual meeting of the Association for Computational Linguistics (Short Papers. 247252 This paper describes an integrative summarization task used in an assessment of English proficiency for nonnative speakers applying to higher education institutions in the United States. Researchers evaluate a variety of content importance models that help predict which parts of the source material the test taker would need to include in a successful response.
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Learn more about this publication automated Scoring of Picture-based Story narration. Paper in Proceedings of the tenth Workshop on Innovative use of nlp for building Educational Applications,. This paper describes an investigation of linguistically motivated features for automatically scoring a spoken picture-based narration task. Learn more about this publication scoring Persuasive essays Using Opinions and their Targets. In this work, researchers investigate whether the analysis of opinion expressions can help in scoring persuasive essays. Experiments on test taker essays show that homework essay scores produced using opinion features are indeed correlated with human scores. Learn more about this publication automated Writing evaluation: a growing Body of Knowledge.
relative sophistication of vocabulary) sentence. Ets has an active research agenda that investigates new automated scoring features for genres of writing beyond traditional essay genres, and now includes source-based and argumentative writing tasks found on assessments, as well as lab reports or social science papers. Featured Publications, below are some recent or significant publications that our researchers have authored that highlight research in automated writing evaluation. 2016, informing Automated Writing evaluation Using the lens of Genre: Two Studies. To construct-relevant systems used for writing instruction and assessment, researchers conducted two investigations of post-secondary writing requirements and faculty perceptions of student writing proficiency. Study results suggested ways that the role of automated writing evaluation might be expanded and aligned with instruction in higher education. Learn more about this publication 2015, supervised Word-level Metaphor Detection: Experiments with Concreteness and Reweighting of Examples. Paper in Proceedings of the Third Workshop on Metaphor in nlp,. The authors discuss a supervised machine learning system that classifies all content words in a running text as either metaphorical or nonmetaphorical.
This is especially important in this modern era where instant communications can take place in the blink of an eye, many forms of letter writing communication seem to fall away. With emailing being so easy, text and instant messaging being so well instant, and social media so visible, writing styles have changed rapidly in relation to the type of communication and whos reading. The art of formal letter writing might in fact be dead, however a good, well presented, hand written letter is now seen as special with all the noise of communication out there. A personal letter makes people sit up and listen when they receive a letter pressed envelope through the post. The e-rater automated writing evaluation engine is ets's patented capability for automated evaluation of expository, persuasive and summary essays. Multiple assessment programs use the engine. The engine is used in combination with human raters restaurant to score the writing sections of the toefl ibt and gre tests. The e-rater engine is also used as the sole score in learning contexts, such as formative use in a classroom setting with ets's Criterion online essay evaluation system. In the Criterion application, the engine is used to generate individualized feedback for students, addressing an increasingly important need for automated essay evaluation that is reliable, valid, fast and flexible.
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