Exploiting semantic roles for asynchronous question answering in an educational setting

Dunwei Wen; John Cuzzola; Lorna Brown; Kinshuk

doi:10.1007/978-3-642-30353-1_39

Exploiting semantic roles for asynchronous question answering in an educational setting

Dunwei Wen
, John Cuzzola
, Lorna Brown
, Kinshuk

School of Computing and Information systems

Athabasca University

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

2 Citations (Scopus)

Abstract

Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) such as syntactic and semantic parsing in order to enhance the capability of selecting the most relevant answers to a given question. However, current NLP technology involves intensive computing and thus hard to meet the real-time demand of synchronous QA. To improve e-learning we introduce NLP into a QA system that specifically exploits the communication latency between student and instructor. We present how the system will fit for educational environment, and how semantic similarity matching between a question and its candidate answers can be improved by semantic roles. The designed system and its running results show the perspective and potential of this research.

Original language	English
Title of host publication	Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings
Pages	374-379
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-30353-1_39
Publication status	Published - 2012
Event	25th Canadian Conference on Artificial Intelligence, AI 2012 - Toronto, ON, Canada Duration: 28 May 2012 → 30 May 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7310 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	25th Canadian Conference on Artificial Intelligence, AI 2012
Country/Territory	Canada
City	Toronto, ON
Period	28/05/12 → 30/05/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

Keywords

asynchronous QA
e-learning
natural language processing
question answering
semantic role labeling

Access to Document

10.1007/978-3-642-30353-1_39

Cite this

Wen, D., Cuzzola, J., Brown, L., & Kinshuk (2012). Exploiting semantic roles for asynchronous question answering in an educational setting. In Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings (pp. 374-379). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7310 LNAI). https://doi.org/10.1007/978-3-642-30353-1_39

Wen, Dunwei ; Cuzzola, John ; Brown, Lorna et al. / Exploiting semantic roles for asynchronous question answering in an educational setting. Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings. 2012. pp. 374-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{2e4792437a834e969d395ddd72f87be6,

title = "Exploiting semantic roles for asynchronous question answering in an educational setting",

abstract = "Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) such as syntactic and semantic parsing in order to enhance the capability of selecting the most relevant answers to a given question. However, current NLP technology involves intensive computing and thus hard to meet the real-time demand of synchronous QA. To improve e-learning we introduce NLP into a QA system that specifically exploits the communication latency between student and instructor. We present how the system will fit for educational environment, and how semantic similarity matching between a question and its candidate answers can be improved by semantic roles. The designed system and its running results show the perspective and potential of this research.",

keywords = "asynchronous QA, e-learning, natural language processing, question answering, semantic role labeling",

author = "Dunwei Wen and John Cuzzola and Lorna Brown and Kinshuk",

year = "2012",

doi = "10.1007/978-3-642-30353-1\_39",

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

pages = "374--379",

booktitle = "Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings",

note = "25th Canadian Conference on Artificial Intelligence, AI 2012 ; Conference date: 28-05-2012 Through 30-05-2012",

}

Wen, D, Cuzzola, J, Brown, L & Kinshuk 2012, Exploiting semantic roles for asynchronous question answering in an educational setting. in Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7310 LNAI, pp. 374-379, 25th Canadian Conference on Artificial Intelligence, AI 2012, Toronto, ON, Canada, 28/05/12. https://doi.org/10.1007/978-3-642-30353-1_39

Exploiting semantic roles for asynchronous question answering in an educational setting. / Wen, Dunwei; Cuzzola, John; Brown, Lorna et al.
Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings. 2012. p. 374-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7310 LNAI).

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

TY - GEN

T1 - Exploiting semantic roles for asynchronous question answering in an educational setting

AU - Wen, Dunwei

AU - Cuzzola, John

AU - Brown, Lorna

AU - Kinshuk,

PY - 2012

Y1 - 2012

N2 - Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) such as syntactic and semantic parsing in order to enhance the capability of selecting the most relevant answers to a given question. However, current NLP technology involves intensive computing and thus hard to meet the real-time demand of synchronous QA. To improve e-learning we introduce NLP into a QA system that specifically exploits the communication latency between student and instructor. We present how the system will fit for educational environment, and how semantic similarity matching between a question and its candidate answers can be improved by semantic roles. The designed system and its running results show the perspective and potential of this research.

AB - Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) such as syntactic and semantic parsing in order to enhance the capability of selecting the most relevant answers to a given question. However, current NLP technology involves intensive computing and thus hard to meet the real-time demand of synchronous QA. To improve e-learning we introduce NLP into a QA system that specifically exploits the communication latency between student and instructor. We present how the system will fit for educational environment, and how semantic similarity matching between a question and its candidate answers can be improved by semantic roles. The designed system and its running results show the perspective and potential of this research.

KW - asynchronous QA

KW - e-learning

KW - natural language processing

KW - question answering

KW - semantic role labeling

UR - https://www.scopus.com/pages/publications/84861754434

U2 - 10.1007/978-3-642-30353-1_39

DO - 10.1007/978-3-642-30353-1_39

M3 - Published Conference contribution

AN - SCOPUS:84861754434

SN - 9783642303524

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

SP - 374

EP - 379

BT - Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings

T2 - 25th Canadian Conference on Artificial Intelligence, AI 2012

Y2 - 28 May 2012 through 30 May 2012

ER -

Wen D, Cuzzola J, Brown L, Kinshuk. Exploiting semantic roles for asynchronous question answering in an educational setting. In Advances in Artificial Intelligence - 25th Canadian Conference on Artificial Intelligence, Canadian AI 2012, Proceedings. 2012. p. 374-379. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-30353-1_39

Exploiting semantic roles for asynchronous question answering in an educational setting

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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