SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance

You-En Lin, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen

Abstract
When recalling life experiences, people often forget or confuse life events, which necessitates information recall services. Previous work on information recall focuses on providing such assistance reactively, i.e., by retrieving the life event of a given query. Proactively detecting the need for information recall services is rarely discussed. In this paper, we use a human-annotated life experience retelling dataset to detect the right time to trigger the information recall service. We propose a pilot model—structured event enhancement network (SEEN) that detects life event inconsistency, additional information in life events, and forgotten events. A fusing mechanism is also proposed to incorporate event graphs of stories and enhance the textual representations. To explain the need detection results, SEEN simultaneously provides support evidence by selecting the related nodes from the event graph. Experimental results show that SEEN achieves promising performance in detecting information needs. In addition, the extracted evidence can be served as complementary information to remind users what events they may want to recall.
Anthology ID:
2022.emnlp-main.365
Volume:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates
Editors:
Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
5438–5451
Language:
URL:
https://aclanthology.org/2022.emnlp-main.365
DOI:
10.18653/v1/2022.emnlp-main.365
Bibkey:
Cite (ACL):
You-En Lin, An-Zi Yen, Hen-Hsen Huang, and Hsin-Hsi Chen. 2022. SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5438–5451, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Cite (Informal):
SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance (Lin et al., EMNLP 2022)
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