LDA-Frames: An Unsupervised Approach to Generating Semantic Frames

Varování

Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

Autoři	MATERNA Jiří
Rok publikování	2012
Druh	Článek ve sborníku
Konference	Computational Linguistics and Intelligent Text Processing, 13th International Conference, CICLing 2012, Part I
Fakulta / Pracoviště MU	Fakulta informatiky
Citace
Doi	http://dx.doi.org/10.1007/978-3-642-28604-9_31
Obor	Informatika
Klíčová slova	LDA-frames; semantic frame; Latent Dirichlet Allocation
Popis	In this paper we introduce a novel approach to identifying semantic frames from semantically unlabelled text corpora. There are many frame formalisms but most of them suffer from the problem that all frames must be created manually and the set of semantic roles must be predefined. The LDA-Frames approach, based on the Latent Dirichlet Allocation, avoids both these problems by employing statistics on a syntactically tagged corpus. The only information that must be given is a number of semantic frames and a number of semantic roles to be identified. The power of LDA-Frames is first shown on a small sample corpus and then on the British National Corpus.
Související projekty:	Centrum komputační lingvistiky