A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

Shen Liu; Meirong Ma; Hao Yuan; Jianchao Zhu; Yuanbin Wu; Man Lan

doi:10.1007/978-3-030-88480-2_55

A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

Shen Liu, Meirong Ma, Hao Yuan, Jianchao Zhu, Yuanbin Wu, Man Lan

School of Computer Science and Technology

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

1 Scopus citations

Abstract

Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different meanings of the punning word. Most previous studies adopt limited word senses obtained by WSD(Word Sense Disambiguation) technique or pronunciation information in isolation to address pun location. For the task of pun interpretation, related work pays attention to various WSD algorithms. In this paper, a model called DANN (Dual-Attentive Neural Network) is proposed for pun location, effectively integrates word senses and pronunciation with context information to address two kinds of pun at the same time. Furthermore, we treat pun interpretation as a classification task and construct pun-gloss pairs as processing data to solve this task. Experiments on the two benchmark datasets show that our proposed methods achieve new state-of-the-art results. Our source code is available in the public code repository (https://github.com/LawsonAbs/pun ).

Original language	English
Title of host publication	Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Proceedings
Editors	Lu Wang, Yansong Feng, Yu Hong, Ruifang He
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	688-699
Number of pages	12
ISBN (Print)	9783030884796
DOIs	https://doi.org/10.1007/978-3-030-88480-2_55
State	Published - 2021
Event	10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021 - Qingdao, China Duration: 13 Oct 2021 → 17 Oct 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13028 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021
Country/Territory	China
City	Qingdao
Period	13/10/21 → 17/10/21

Keywords

Pronunciation
Pun interpretation
Pun location
Pun-gloss pairs
Word Sense Disambiguation

Access to Document

10.1007/978-3-030-88480-2_55

Cite this

Liu, S., Ma, M., Yuan, H., Zhu, J., Wu, Y., & Lan, M. (2021). A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation. In L. Wang, Y. Feng, Y. Hong, & R. He (Eds.), Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Proceedings (pp. 688-699). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13028 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-88480-2_55

Liu, Shen ; Ma, Meirong ; Yuan, Hao et al. / A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation. Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Proceedings. editor / Lu Wang ; Yansong Feng ; Yu Hong ; Ruifang He. Springer Science and Business Media Deutschland GmbH, 2021. pp. 688-699 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{48f5868ec34d4b49ad327209b78cf28a,

title = "A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation",

abstract = "Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different meanings of the punning word. Most previous studies adopt limited word senses obtained by WSD(Word Sense Disambiguation) technique or pronunciation information in isolation to address pun location. For the task of pun interpretation, related work pays attention to various WSD algorithms. In this paper, a model called DANN (Dual-Attentive Neural Network) is proposed for pun location, effectively integrates word senses and pronunciation with context information to address two kinds of pun at the same time. Furthermore, we treat pun interpretation as a classification task and construct pun-gloss pairs as processing data to solve this task. Experiments on the two benchmark datasets show that our proposed methods achieve new state-of-the-art results. Our source code is available in the public code repository (https://github.com/LawsonAbs/pun ).",

keywords = "Pronunciation, Pun interpretation, Pun location, Pun-gloss pairs, Word Sense Disambiguation",

author = "Shen Liu and Meirong Ma and Hao Yuan and Jianchao Zhu and Yuanbin Wu and Man Lan",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021 ; Conference date: 13-10-2021 Through 17-10-2021",

year = "2021",

doi = "10.1007/978-3-030-88480-2\_55",

language = "英语",

isbn = "9783030884796",

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

publisher = "Springer Science and Business Media Deutschland GmbH",

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}

Liu, S, Ma, M, Yuan, H, Zhu, J, Wu, Y & Lan, M 2021, A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation. in L Wang, Y Feng, Y Hong & R He (eds), Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13028 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 688-699, 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, Qingdao, China, 13/10/21. https://doi.org/10.1007/978-3-030-88480-2_55

A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation. / Liu, Shen; Ma, Meirong; Yuan, Hao et al.
Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Proceedings. ed. / Lu Wang; Yansong Feng; Yu Hong; Ruifang He. Springer Science and Business Media Deutschland GmbH, 2021. p. 688-699 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13028 LNAI).

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

TY - GEN

T1 - A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

AU - Liu, Shen

AU - Ma, Meirong

AU - Yuan, Hao

AU - Zhu, Jianchao

AU - Wu, Yuanbin

AU - Lan, Man

PY - 2021

Y1 - 2021

N2 - Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different meanings of the punning word. Most previous studies adopt limited word senses obtained by WSD(Word Sense Disambiguation) technique or pronunciation information in isolation to address pun location. For the task of pun interpretation, related work pays attention to various WSD algorithms. In this paper, a model called DANN (Dual-Attentive Neural Network) is proposed for pun location, effectively integrates word senses and pronunciation with context information to address two kinds of pun at the same time. Furthermore, we treat pun interpretation as a classification task and construct pun-gloss pairs as processing data to solve this task. Experiments on the two benchmark datasets show that our proposed methods achieve new state-of-the-art results. Our source code is available in the public code repository (https://github.com/LawsonAbs/pun ).

AB - Pun location is to identify the punning word (usually a word or a phrase that makes the text ambiguous) in a given short text, and pun interpretation is to find out two different meanings of the punning word. Most previous studies adopt limited word senses obtained by WSD(Word Sense Disambiguation) technique or pronunciation information in isolation to address pun location. For the task of pun interpretation, related work pays attention to various WSD algorithms. In this paper, a model called DANN (Dual-Attentive Neural Network) is proposed for pun location, effectively integrates word senses and pronunciation with context information to address two kinds of pun at the same time. Furthermore, we treat pun interpretation as a classification task and construct pun-gloss pairs as processing data to solve this task. Experiments on the two benchmark datasets show that our proposed methods achieve new state-of-the-art results. Our source code is available in the public code repository (https://github.com/LawsonAbs/pun ).

KW - Pronunciation

KW - Pun interpretation

KW - Pun location

KW - Pun-gloss pairs

KW - Word Sense Disambiguation

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DO - 10.1007/978-3-030-88480-2_55

M3 - 会议稿件

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SN - 9783030884796

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

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EP - 699

BT - Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Proceedings

A2 - Wang, Lu

A2 - Feng, Yansong

A2 - Hong, Yu

A2 - He, Ruifang

PB - Springer Science and Business Media Deutschland GmbH

T2 - 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021

Y2 - 13 October 2021 through 17 October 2021

ER -

Liu S, Ma M, Yuan H, Zhu J, Wu Y, Lan M. A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation. In Wang L, Feng Y, Hong Y, He R, editors, Natural Language Processing and Chinese Computing - 10th CCF International Conference, NLPCC 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 688-699. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-88480-2_55

A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

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Keywords

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