A syntactic parse-key tree-based approach for english grammar question retrieval

Lanting Fang; Luu Anh Tuan; Lenan Wu; Siu Cheung Hui

doi:10.1007/978-3-319-59569-6_44

A syntactic parse-key tree-based approach for english grammar question retrieval

Lanting Fang^*
, Luu Anh Tuan
, Lenan Wu
, Siu Cheung Hui

^*Corresponding author for this work

Southeast University, Nanjing
Nanyang Technological University

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

1 Citation (Scopus)

Abstract

Grammar question retrieval aims to find relevant grammar questions that have similar grammatical structure and usage as the input question query. Previous work on text and sentence retrieval which is mainly based on statistical analysis approach and syntactic analysis approach is not effective in finding relevant grammar questions with similar grammatical focus. In this paper, we propose a syntactic parse-key tree based approach for English grammar question retrieval which can find relevant grammar questions with similar grammatical focus effectively. In particular, we propose a syntactic parse-key tree to capture the grammatical focus of grammar questions according to the blank or answer position of the questions. Then we propose a novel method to compute the parse-key tree similarity between the parse-trees of the question query and the database questions for question retrieval. The performance results have shown that our proposed approach outperforms other classical text and sentence retrieval methods in accuracy.

Original language	English
Title of host publication	Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings
Editors	Flavius Frasincar, Ashwin Ittoo, Elisabeth Metais, Le Minh Nguyen
Publisher	Springer Verlag
Pages	353-365
Number of pages	13
ISBN (Print)	9783319595689
DOIs	https://doi.org/10.1007/978-3-319-59569-6_44
Publication status	Published - 2017
Externally published	Yes
Event	22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017 - Liege, Belgium Duration: 21 Jun 2017 → 23 Jun 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10260 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017
Country/Territory	Belgium
City	Liege
Period	21/06/17 → 23/06/17

Access to Document

10.1007/978-3-319-59569-6_44

Cite this

Fang, L., Tuan, L. A., Wu, L., & Hui, S. C. (2017). A syntactic parse-key tree-based approach for english grammar question retrieval. In F. Frasincar, A. Ittoo, E. Metais, & L. M. Nguyen (Eds.), Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings (pp. 353-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10260 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-59569-6_44

Fang, Lanting ; Tuan, Luu Anh ; Wu, Lenan et al. / A syntactic parse-key tree-based approach for english grammar question retrieval. Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings. editor / Flavius Frasincar ; Ashwin Ittoo ; Elisabeth Metais ; Le Minh Nguyen. Springer Verlag, 2017. pp. 353-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1a3784cc2b3444f884ffd9396d02d96c,

title = "A syntactic parse-key tree-based approach for english grammar question retrieval",

abstract = "Grammar question retrieval aims to find relevant grammar questions that have similar grammatical structure and usage as the input question query. Previous work on text and sentence retrieval which is mainly based on statistical analysis approach and syntactic analysis approach is not effective in finding relevant grammar questions with similar grammatical focus. In this paper, we propose a syntactic parse-key tree based approach for English grammar question retrieval which can find relevant grammar questions with similar grammatical focus effectively. In particular, we propose a syntactic parse-key tree to capture the grammatical focus of grammar questions according to the blank or answer position of the questions. Then we propose a novel method to compute the parse-key tree similarity between the parse-trees of the question query and the database questions for question retrieval. The performance results have shown that our proposed approach outperforms other classical text and sentence retrieval methods in accuracy.",

author = "Lanting Fang and Tuan, \{Luu Anh\} and Lenan Wu and Hui, \{Siu Cheung\}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017 ; Conference date: 21-06-2017 Through 23-06-2017",

year = "2017",

doi = "10.1007/978-3-319-59569-6\_44",

language = "English",

isbn = "9783319595689",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "353--365",

editor = "Flavius Frasincar and Ashwin Ittoo and Elisabeth Metais and Nguyen, \{Le Minh\}",

booktitle = "Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings",

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}

Fang, L, Tuan, LA, Wu, L & Hui, SC 2017, A syntactic parse-key tree-based approach for english grammar question retrieval. in F Frasincar, A Ittoo, E Metais & LM Nguyen (eds), Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10260 LNCS, Springer Verlag, pp. 353-365, 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liege, Belgium, 21/06/17. https://doi.org/10.1007/978-3-319-59569-6_44

A syntactic parse-key tree-based approach for english grammar question retrieval. / Fang, Lanting; Tuan, Luu Anh; Wu, Lenan et al.
Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings. ed. / Flavius Frasincar; Ashwin Ittoo; Elisabeth Metais; Le Minh Nguyen. Springer Verlag, 2017. p. 353-365 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10260 LNCS).

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

TY - GEN

T1 - A syntactic parse-key tree-based approach for english grammar question retrieval

AU - Fang, Lanting

AU - Tuan, Luu Anh

AU - Wu, Lenan

AU - Hui, Siu Cheung

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - Grammar question retrieval aims to find relevant grammar questions that have similar grammatical structure and usage as the input question query. Previous work on text and sentence retrieval which is mainly based on statistical analysis approach and syntactic analysis approach is not effective in finding relevant grammar questions with similar grammatical focus. In this paper, we propose a syntactic parse-key tree based approach for English grammar question retrieval which can find relevant grammar questions with similar grammatical focus effectively. In particular, we propose a syntactic parse-key tree to capture the grammatical focus of grammar questions according to the blank or answer position of the questions. Then we propose a novel method to compute the parse-key tree similarity between the parse-trees of the question query and the database questions for question retrieval. The performance results have shown that our proposed approach outperforms other classical text and sentence retrieval methods in accuracy.

AB - Grammar question retrieval aims to find relevant grammar questions that have similar grammatical structure and usage as the input question query. Previous work on text and sentence retrieval which is mainly based on statistical analysis approach and syntactic analysis approach is not effective in finding relevant grammar questions with similar grammatical focus. In this paper, we propose a syntactic parse-key tree based approach for English grammar question retrieval which can find relevant grammar questions with similar grammatical focus effectively. In particular, we propose a syntactic parse-key tree to capture the grammatical focus of grammar questions according to the blank or answer position of the questions. Then we propose a novel method to compute the parse-key tree similarity between the parse-trees of the question query and the database questions for question retrieval. The performance results have shown that our proposed approach outperforms other classical text and sentence retrieval methods in accuracy.

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DO - 10.1007/978-3-319-59569-6_44

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AN - SCOPUS:85021721423

SN - 9783319595689

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 353

EP - 365

BT - Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings

A2 - Frasincar, Flavius

A2 - Ittoo, Ashwin

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PB - Springer Verlag

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Y2 - 21 June 2017 through 23 June 2017

ER -

Fang L, Tuan LA, Wu L, Hui SC. A syntactic parse-key tree-based approach for english grammar question retrieval. In Frasincar F, Ittoo A, Metais E, Nguyen LM, editors, Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Proceedings. Springer Verlag. 2017. p. 353-365. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-59569-6_44

A syntactic parse-key tree-based approach for english grammar question retrieval

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