TY - GEN
T1 - Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks
AU - Feng, Xiachong
AU - Feng, Xiaocheng
AU - Qin, Bing
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Abstractive dialogue summarization is the task of capturing the highlights of a dialogue and rewriting them into a concise version. In this paper, we present a novel multi-speaker dialogue summarizer to demonstrate how large-scale commonsense knowledge can facilitate dialogue understanding and summary generation. In detail, we consider utterance and commonsense knowledge as two different types of data and design a Dialogue Heterogeneous Graph Network (D-HGN) for modeling both information. Meanwhile, we also add speakers as heterogeneous nodes to facilitate information flow. Experimental results on the SAMSum dataset show that our model can outperform various methods. We also conduct zero-shot setting experiments on the Argumentative Dialogue Summary Corpus, the results show that our model can better generalized to the new domain.
AB - Abstractive dialogue summarization is the task of capturing the highlights of a dialogue and rewriting them into a concise version. In this paper, we present a novel multi-speaker dialogue summarizer to demonstrate how large-scale commonsense knowledge can facilitate dialogue understanding and summary generation. In detail, we consider utterance and commonsense knowledge as two different types of data and design a Dialogue Heterogeneous Graph Network (D-HGN) for modeling both information. Meanwhile, we also add speakers as heterogeneous nodes to facilitate information flow. Experimental results on the SAMSum dataset show that our model can outperform various methods. We also conduct zero-shot setting experiments on the Argumentative Dialogue Summary Corpus, the results show that our model can better generalized to the new domain.
KW - Commonsense knowledge
KW - Dialogue summarization
KW - Graph neural networks
UR - https://www.scopus.com/pages/publications/85113509480
U2 - 10.1007/978-3-030-84186-7_9
DO - 10.1007/978-3-030-84186-7_9
M3 - 会议稿件
AN - SCOPUS:85113509480
SN - 9783030841850
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 127
EP - 142
BT - Chinese Computational Linguistics - 20th China National Conference, CCL 2021, Proceedings
A2 - Li, Sheng
A2 - Sun, Maosong
A2 - Liu, Yang
A2 - Wu, Hua
A2 - Kang, Liu
A2 - Che, Wanxiang
A2 - He, Shizhu
A2 - Rao, Gaoqi
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th China National Conference on Computational Linguistics, CCL 2021
Y2 - 13 August 2021 through 15 August 2021
ER -