A Graph-Based Neural Model for End-to-End Frame Semantic Parsing

ZhiChao Lin, Yueheng Sun, Meishan Zhang


Abstract
Frame semantic parsing is a semantic analysis task based on FrameNet which has received great attention recently. The task usually involves three subtasks sequentially: (1) target identification, (2) frame classification and (3) semantic role labeling. The three subtasks are closely related while previous studies model them individually, which ignores their intern connections and meanwhile induces error propagation problem. In this work, we propose an end-to-end neural model to tackle the task jointly. Concretely, we exploit a graph-based method, regarding frame semantic parsing as a graph construction problem. All predicates and roles are treated as graph nodes, and their relations are taken as graph edges. Experiment results on two benchmark datasets of frame semantic parsing show that our method is highly competitive, resulting in better performance than pipeline models.
Anthology ID:
2021.emnlp-main.314
Volume:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2021
Address:
Online and Punta Cana, Dominican Republic
Editors:
Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3864–3874
Language:
URL:
https://aclanthology.org/2021.emnlp-main.314
DOI:
10.18653/v1/2021.emnlp-main.314
Bibkey:
Cite (ACL):
ZhiChao Lin, Yueheng Sun, and Meishan Zhang. 2021. A Graph-Based Neural Model for End-to-End Frame Semantic Parsing. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 3864–3874, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing (Lin et al., EMNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.emnlp-main.314.pdf
Video:
 https://aclanthology.org/2021.emnlp-main.314.mp4
Code
 ch4osmy7h/framenetparser
Data
FrameNet