Parameter Estimation for LDA-Frames

MATERNA, Jiří. Parameter Estimation for LDA-Frames. Online. In Lucy Vanderwende, Hal Daume III, Katrin Kirchhoff. Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Atlanta, Georgia: Association for Computational Linguistics, 2013, p. 482-486. ISBN 978-1-937284-47-3.

Basic information

Original name

Parameter Estimation for LDA-Frames

Name in Czech

Odhad parametrů pro LDA rámce

Authors

MATERNA, Jiří (203 Czech Republic, guarantor, belonging to the institution)

Edition

Atlanta, Georgia, Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, p. 482-486, 5 pp. 2013

Publisher

Association for Computational Linguistics

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14330/13:00069065

Organization unit

Faculty of Informatics

ISBN

978-1-937284-47-3

Keywords (in Czech)

LDA rámce; sémantické rámce; valenční rámce; neparametrické metody

Keywords in English

LDA-Frames; semantic frames; valency frames; non-parametric methods

Tags

best, core_A, firank_A, LDA-frames

Tags

International impact, Reviewed

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Abstract

V originále

LDA-frames is an unsupervised approach for identifying semantic frames from semantically unlabeled text corpora, and seems to be a useful competitor for manually created databases of selectional preferences. The most limiting property of the algorithm is such that the number of frames and roles must be predefined. In this paper we present a modification of the LDA-frames algorithm allowing the number of frames and roles to be determined automatically, based on the character and size of training data.

In Czech

LDA rámce jsou sémantické rámce generované automaticky z textových korpusů. Jejich nevýhodou je nutná specifikace počtu sémantických rámců a rolí, které mají být identifikovány. V tomto článku je představena metoda, která umožňuje tyto parametry nalézt automaticky.

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Links

LM2010013, research and development project	Name: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat (Acronym: LINDAT-Clarin) Investor: Ministry of Education, Youth and Sports of the CR
MUNI/A/0739/2012, interní kód MU	Name: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Acronym: SKOMU) Investor: Masaryk University, Category A