@inproceedings{han-etal-2019-level,
title = "Level-Up: Learning to Improve Proficiency Level of Essays",
author = "Han, Wen-Bin and
Chen, Jhih-Jie and
Yang, Chingyu and
Chang, Jason",
editor = "Costa-juss{\`a}, Marta R. and
Alfonseca, Enrique",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-3033",
doi = "10.18653/v1/P19-3033",
pages = "207--212",
abstract = "We introduce a method for generating suggestions on a given sentence for improving the proficiency level. In our approach, the sentence is transformed into a sequence of grammatical elements aimed at providing suggestions of more advanced grammar elements based on originals. The method involves parsing the sentence, identifying grammatical elements, and ranking related elements to recommend a higher level of grammatical element. We present a prototype tutoring system, Level-Up, that applies the method to English learners{'} essays in order to assist them in writing and reading. Evaluation on a set of essays shows that our method does assist user in writing.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="han-etal-2019-level">
<titleInfo>
<title>Level-Up: Learning to Improve Proficiency Level of Essays</title>
</titleInfo>
<name type="personal">
<namePart type="given">Wen-Bin</namePart>
<namePart type="family">Han</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jhih-Jie</namePart>
<namePart type="family">Chen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Chingyu</namePart>
<namePart type="family">Yang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jason</namePart>
<namePart type="family">Chang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2019-07</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations</title>
</titleInfo>
<name type="personal">
<namePart type="given">Marta</namePart>
<namePart type="given">R</namePart>
<namePart type="family">Costa-jussà</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Enrique</namePart>
<namePart type="family">Alfonseca</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Florence, Italy</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>We introduce a method for generating suggestions on a given sentence for improving the proficiency level. In our approach, the sentence is transformed into a sequence of grammatical elements aimed at providing suggestions of more advanced grammar elements based on originals. The method involves parsing the sentence, identifying grammatical elements, and ranking related elements to recommend a higher level of grammatical element. We present a prototype tutoring system, Level-Up, that applies the method to English learners’ essays in order to assist them in writing and reading. Evaluation on a set of essays shows that our method does assist user in writing.</abstract>
<identifier type="citekey">han-etal-2019-level</identifier>
<identifier type="doi">10.18653/v1/P19-3033</identifier>
<location>
<url>https://aclanthology.org/P19-3033</url>
</location>
<part>
<date>2019-07</date>
<extent unit="page">
<start>207</start>
<end>212</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Level-Up: Learning to Improve Proficiency Level of Essays
%A Han, Wen-Bin
%A Chen, Jhih-Jie
%A Yang, Chingyu
%A Chang, Jason
%Y Costa-jussà, Marta R.
%Y Alfonseca, Enrique
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F han-etal-2019-level
%X We introduce a method for generating suggestions on a given sentence for improving the proficiency level. In our approach, the sentence is transformed into a sequence of grammatical elements aimed at providing suggestions of more advanced grammar elements based on originals. The method involves parsing the sentence, identifying grammatical elements, and ranking related elements to recommend a higher level of grammatical element. We present a prototype tutoring system, Level-Up, that applies the method to English learners’ essays in order to assist them in writing and reading. Evaluation on a set of essays shows that our method does assist user in writing.
%R 10.18653/v1/P19-3033
%U https://aclanthology.org/P19-3033
%U https://doi.org/10.18653/v1/P19-3033
%P 207-212
Markdown (Informal)
[Level-Up: Learning to Improve Proficiency Level of Essays](https://aclanthology.org/P19-3033) (Han et al., ACL 2019)
ACL
- Wen-Bin Han, Jhih-Jie Chen, Chingyu Yang, and Jason Chang. 2019. Level-Up: Learning to Improve Proficiency Level of Essays. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 207–212, Florence, Italy. Association for Computational Linguistics.