Work

Parsing arguments of nominalizations in English and Chinese

Year: 2004

Type: conference-paper

Abstract: In this paper, we use a machine learning framework for semantic argument parsing, and apply it to the task of parsing arguments of eventive nominalizations in the FrameNet database. We create a baseline system using a subset of features introduced by Gildea and Jurafsky (2002), which are directly applicable to nominal predicates. We then investigate new features which are designed to capture the novelties in nominal argument structure and show a significant performance improvement using these new features. We also investigate the parsing performance of nominalizations in Chinese and compare the salience of the features for the two languages.

Source: Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL)

DOI: 10.3115/1613984.1614020

Authors: Sameer Pradhan, Honglin Sun, Wayne Ward, James H. Martin, Dan Jurafsky

Institutions: University of Colorado Boulder, Stanford University

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2045951030

FWCI: 1.942

Cites: 18

Cited by: 31

Related to: 10