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Semantic Role Labeling for Russian Language Based on Russian FrameBank

  • Ilya KuznetsovEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 542)

Abstract

Semantic Role Labeling (SRL) is one of the major research areas in today’s natural language processing. The task can be described as follows: given an input sentence, that refers to some situation, find the participants of this situation in text and assign them semantically motivated labels, or roles. Although the topic has become increasingly popular in the last decade, there have been only a few attempts to apply SRL to Russian language. We present a supervised semantic role labeling system for Russian based on FrameBank, an actively developing Russian SRL resource analogous to FrameNet and PropBank.

Keywords

Semantic role labeling Semantic parsing Russian Framebank Supervised 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Higher School of EconomicsMoscowRussia

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