@inproceedings {pub5195,
	title = {Graph Based Pattern Classification for NLU and Slot Filling:
Approach and Analysis},
	author = {Julian Eggert AND Johane Takeuchi},
	year = {2022},
	month = {December},
	abstract = {In Natural Language Understanding, semantic parsing refers to
the task of extracting meaningful words from text, with slot filling
being a special case. At the same time, syntactic parsing deals with
the identification of syntactic structure in the text. In this paper, we
analyze to which extent syntactic structure can be used for semantic
parsing. For this purpose, we represent the syntactic structure of
sentences from an annotated database as graphs, incrementally
store a large number of graph prototypes in a knowledge base, and
approach the slot filling problem as a graph matching problem. We
analyze how this approach scales with the number of prototypes
and show that it provides a lightweight framework that can be
efficiently used to support semantic parsing tasks.},
	publisher = {ACM},
	booktitle = {NLPIR {\textquoteright}22: Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval},
	editor = {ICPS / ACM},
	city = {New York},
	pages = {65{\textendash}70},
	series = {NLPIR Proceedings}
}