Incorporate user representation for personal question answer selection using Siamese Network

Zihao Qi; Dario Bertero; Ian Wood; Pascale Fung

doi:10.1109/icassp.2019.8682663

Incorporate user representation for personal question answer selection using Siamese Network

Zihao Qi, Dario Bertero, Ian Wood, Pascale Fung

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

2 Citations (Scopus)

Abstract

Many natural language questions are inherently subjective. They can not be answered properly if we do not know the personal preferences of the answerer. For example, Do you like cats? There is no the only correct answer to this question. To answer it, the model has to be able to capture the persona of the answerers. However, the users usually do not answer different questions with equal chance. Instead, while some are answered with a high frequency, others are hardly answered by anyone. To deal with this imbalanced sparsity in data, we first introduce a Siamese Network to capture the preferences patterns of the users. Then the model is ensembled with an additional dense layer to predict the answers of the users. Applying to an online dating dataset, our approach achieves a high accuracy of 78.7%.

Original language	English
Title of host publication	2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	7540-7544
Number of pages	5
ISBN (Electronic)	9781479981311
DOIs	https://doi.org/10.1109/icassp.2019.8682663
Publication status	Published - 2019
Externally published	Yes
Event	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019

Conference

Conference	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/Territory	United Kingdom
City	Brighton
Period	12/05/19 → 17/05/19

Keywords

Personal Question Answer Selection
Preference Learning
Siamese Network
User Representation

Access to Document

10.1109/icassp.2019.8682663

Cite this

Qi, Z., Bertero, D., Wood, I., & Fung, P. (2019). Incorporate user representation for personal question answer selection using Siamese Network. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (pp. 7540-7544). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/icassp.2019.8682663

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abstract = "Many natural language questions are inherently subjective. They can not be answered properly if we do not know the personal preferences of the answerer. For example, Do you like cats? There is no the only correct answer to this question. To answer it, the model has to be able to capture the persona of the answerers. However, the users usually do not answer different questions with equal chance. Instead, while some are answered with a high frequency, others are hardly answered by anyone. To deal with this imbalanced sparsity in data, we first introduce a Siamese Network to capture the preferences patterns of the users. Then the model is ensembled with an additional dense layer to predict the answers of the users. Applying to an online dating dataset, our approach achieves a high accuracy of 78.7%.",

keywords = "Personal Question Answer Selection, Preference Learning, Siamese Network, User Representation",

author = "Zihao Qi and Dario Bertero and Ian Wood and Pascale Fung",

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doi = "10.1109/icassp.2019.8682663",

language = "English",

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booktitle = "2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings",

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note = "44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 ; Conference date: 12-05-2019 Through 17-05-2019",

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Qi, Z, Bertero, D, Wood, I & Fung, P 2019, Incorporate user representation for personal question answer selection using Siamese Network. in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 7540-7544, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton, United Kingdom, 12/05/19. https://doi.org/10.1109/icassp.2019.8682663

Incorporate user representation for personal question answer selection using Siamese Network. / Qi, Zihao; Bertero, Dario; Wood, Ian et al.
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 7540-7544.

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

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T1 - Incorporate user representation for personal question answer selection using Siamese Network

AU - Qi, Zihao

AU - Bertero, Dario

AU - Wood, Ian

AU - Fung, Pascale

PY - 2019

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N2 - Many natural language questions are inherently subjective. They can not be answered properly if we do not know the personal preferences of the answerer. For example, Do you like cats? There is no the only correct answer to this question. To answer it, the model has to be able to capture the persona of the answerers. However, the users usually do not answer different questions with equal chance. Instead, while some are answered with a high frequency, others are hardly answered by anyone. To deal with this imbalanced sparsity in data, we first introduce a Siamese Network to capture the preferences patterns of the users. Then the model is ensembled with an additional dense layer to predict the answers of the users. Applying to an online dating dataset, our approach achieves a high accuracy of 78.7%.

AB - Many natural language questions are inherently subjective. They can not be answered properly if we do not know the personal preferences of the answerer. For example, Do you like cats? There is no the only correct answer to this question. To answer it, the model has to be able to capture the persona of the answerers. However, the users usually do not answer different questions with equal chance. Instead, while some are answered with a high frequency, others are hardly answered by anyone. To deal with this imbalanced sparsity in data, we first introduce a Siamese Network to capture the preferences patterns of the users. Then the model is ensembled with an additional dense layer to predict the answers of the users. Applying to an online dating dataset, our approach achieves a high accuracy of 78.7%.

KW - Personal Question Answer Selection

KW - Preference Learning

KW - Siamese Network

KW - User Representation

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M3 - Conference proceeding contribution

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BT - 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 12 May 2019 through 17 May 2019

ER -

Incorporate user representation for personal question answer selection using Siamese Network

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