Presentation 2011-10-11
Construction of Japanese Semantic Role Label Identification System Based on Very Small Correct Examples
Suguru TSUCHIYAMA, Koichi TAKEUCHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a method to identify semantic role labels utilizing a few correctly label-annotated examples. The similarity between input sentence and correct labeled example sentences is evaluated by manually denned similarity function. This is because a statistical learning model doesn't work well without many correct examlpes. We develop Japanese semantic role label identification system based on the proposal method. Moreover, this system can be added deverbal compound analyzer and idiom identification system. We also report the comparison between the proposal method and CRFs in the experiment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Disambiguation of verb meanings / Frame / Argument structure analyzer
Paper # TL2011-37,NLC2011-34
Date of Issue

Conference Information
Committee NLC
Conference Date 2011/10/3(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Construction of Japanese Semantic Role Label Identification System Based on Very Small Correct Examples
Sub Title (in English)
Keyword(1) Disambiguation of verb meanings
Keyword(2) Frame
Keyword(3) Argument structure analyzer
1st Author's Name Suguru TSUCHIYAMA
1st Author's Affiliation Graduate School of Natural Science and Technology, Okayama University()
2nd Author's Name Koichi TAKEUCHI
2nd Author's Affiliation Graduate School of Natural Science and Technology, Okayama University
Date 2011-10-11
Paper # TL2011-37,NLC2011-34
Volume (vol) vol.111
Number (no) 228
Page pp.pp.-
#Pages 4
Date of Issue