Supporting ESL Writing by Prompting Crowdsourced Structural Feedback

Yi Ching Huang; Jiunn Chia Huang; Hao Chuan Wang; Jane Yung Jen Hsu

Supporting ESL Writing by Prompting Crowdsourced Structural Feedback

Yi Ching Huang, Jiunn Chia Huang, Hao Chuan Wang, Jane Yung Jen Hsu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Writing is challenging, especially for non-native speakers. To support English as a Second Language (ESL) writing, we propose StructFeed, which allows native speakers to annotate topic sentence and relevant keywords in texts and generate writing hints based on the principle of paragraph unity. First, we compared our crowd-based method with three naïve machine learning (ML) methods and got the best performance on the identification of topic sentence and irrelevant sentence in the article. Next, we evaluated the StructFeed system with two feedback-generation mechanisms including feedback generated by one expert and by one crowd worker. The results showed that people who received feedback by Struct- Feed got the highest improvement after revision.

Original language	English
Title of host publication	Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017
Editors	Steven Dow, Adam Tauman
Publisher	AAAI Press
Pages	71-78
Number of pages	8
ISBN (Electronic)	9781577357933
State	Published - 27 10 2017
Externally published	Yes
Event	5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017 - Quebec City, Canada Duration: 24 10 2017 → 26 10 2017

Publication series

Name	Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017

Conference

Conference	5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017
Country/Territory	Canada
City	Quebec City
Period	24/10/17 → 26/10/17

Bibliographical note

Publisher Copyright:
Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

Cite this

Huang, Y. C., Huang, J. C., Wang, H. C., & Hsu, J. Y. J. (2017). Supporting ESL Writing by Prompting Crowdsourced Structural Feedback. In S. Dow, & A. Tauman (Eds.), Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017 (pp. 71-78). (Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017). AAAI Press.

Huang, Yi Ching ; Huang, Jiunn Chia ; Wang, Hao Chuan et al. / Supporting ESL Writing by Prompting Crowdsourced Structural Feedback. Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017. editor / Steven Dow ; Adam Tauman. AAAI Press, 2017. pp. 71-78 (Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017).

@inproceedings{8e5c5ecab75d4439a7826c5306ba9350,

title = "Supporting ESL Writing by Prompting Crowdsourced Structural Feedback",

abstract = "Writing is challenging, especially for non-native speakers. To support English as a Second Language (ESL) writing, we propose StructFeed, which allows native speakers to annotate topic sentence and relevant keywords in texts and generate writing hints based on the principle of paragraph unity. First, we compared our crowd-based method with three na{\"i}ve machine learning (ML) methods and got the best performance on the identification of topic sentence and irrelevant sentence in the article. Next, we evaluated the StructFeed system with two feedback-generation mechanisms including feedback generated by one expert and by one crowd worker. The results showed that people who received feedback by Struct- Feed got the highest improvement after revision.",

author = "Huang, {Yi Ching} and Huang, {Jiunn Chia} and Wang, {Hao Chuan} and Hsu, {Jane Yung Jen}",

note = "Publisher Copyright: Copyright {\textcopyright} 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017 ; Conference date: 24-10-2017 Through 26-10-2017",

year = "2017",

month = oct,

day = "27",

language = "英语",

series = "Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017",

publisher = "AAAI Press",

pages = "71--78",

editor = "Steven Dow and Adam Tauman",

booktitle = "Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017",

}

Huang, YC, Huang, JC, Wang, HC & Hsu, JYJ 2017, Supporting ESL Writing by Prompting Crowdsourced Structural Feedback. in S Dow & A Tauman (eds), Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017. Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017, AAAI Press, pp. 71-78, 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017, Quebec City, Canada, 24/10/17.

Supporting ESL Writing by Prompting Crowdsourced Structural Feedback. / Huang, Yi Ching; Huang, Jiunn Chia; Wang, Hao Chuan et al.
Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017. ed. / Steven Dow; Adam Tauman. AAAI Press, 2017. p. 71-78 (Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Writing is challenging, especially for non-native speakers. To support English as a Second Language (ESL) writing, we propose StructFeed, which allows native speakers to annotate topic sentence and relevant keywords in texts and generate writing hints based on the principle of paragraph unity. First, we compared our crowd-based method with three naïve machine learning (ML) methods and got the best performance on the identification of topic sentence and irrelevant sentence in the article. Next, we evaluated the StructFeed system with two feedback-generation mechanisms including feedback generated by one expert and by one crowd worker. The results showed that people who received feedback by Struct- Feed got the highest improvement after revision.

AB - Writing is challenging, especially for non-native speakers. To support English as a Second Language (ESL) writing, we propose StructFeed, which allows native speakers to annotate topic sentence and relevant keywords in texts and generate writing hints based on the principle of paragraph unity. First, we compared our crowd-based method with three naïve machine learning (ML) methods and got the best performance on the identification of topic sentence and irrelevant sentence in the article. Next, we evaluated the StructFeed system with two feedback-generation mechanisms including feedback generated by one expert and by one crowd worker. The results showed that people who received feedback by Struct- Feed got the highest improvement after revision.

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BT - Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2017

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Y2 - 24 October 2017 through 26 October 2017

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Supporting ESL Writing by Prompting Crowdsourced Structural Feedback

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