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A Neural Pairwise Ranking Model for Readability Assessment ...
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Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
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Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
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Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities ...
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Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling? ...
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Are You Being Rhetorical? An Open Corpus of Machine Annotated Rhetorical Moves
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Knight, Simon; Abel, Sophie; Shibani, Antonette; Goh, Yoong Kuan; Conijn, Rianne; Gibson, Andrew; Vajjala, Sowmya; Cotos, Elena; Sándor, Ágnes; Buckingham Shum, Simon
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In: English Publications (2020)
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Abstract:
Writing analytics has emerged as a sub-field of learning analytics, with applications including the provision of formative feedback to students in developing their writing capacities. Rhetorical markers in writing have become a key feature in this feedback, with a number of tools being developed across research and teaching contexts. However, there is no shared corpus of texts annotated by these tools, nor is it clear how the tool annotations compare. Thus, resources are scarce for comparing tools for both tool development and pedagogic purposes. In this paper, we conduct such a comparison and introduce a sample corpus of texts representative of the particular genres, a subset of which has been annotated using three rhetorical analysis tools (one of which has two versions). This paper aims to provide both a description of the tools and a shared dataset in order to support extensions of existing analyses and tool design in support of writing skill development. We intend the description of these tools, which share a focus on rhetorical structures, alongside the corpus, to be a preliminary step to enable further research, with regard to both tool development and tool interaction.
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Keyword:
and Research; Corpus analysis; Educational Assessment; Educational Methods; Evaluation; Modern Literature; Open data; Rhetoric and Composition; Rhetorical moves; Technical and Professional Writing; Writing analytics
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URL: https://lib.dr.iastate.edu/engl_pubs/285 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1286&context=engl_pubs
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Linguistic Metrics for Patent Disclosure: Evidence from University versus Corporate Patents
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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Experiments with Universal CEFR Classification
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In: English Conference Papers, Posters and Proceedings (2018)
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