Automatically assigned DDC number: 00635

Manually assigned DDC number: 00635

Number of references: 16

Title: Automatic Labeling of Semantic Roles

Author:

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Subject: Daniel Gildea,Nelson Morgan,Jerome Feldman Eecs Automatic Labeling of Semantic Roles

Description: The problem of linking syntactic constituents of a sentence to semantic roles is an essential part of many natural language processing tasks. The research outlined here aims to develop a statistical approach to the problem, extending the methodology that has been very successful in statistical parsing one step closer to language understanding. Both specific and more abstract semantic roles are considered in an effort to generalize from semantic frames for which training data is available to general text. Possible applications for a statistical semantic analyzer include spoken language dialog systems, information retrieval, machine translation and the emerging field of text data mining. 1 Introduction This proposal attacks the problem of linking: mapping syntactic constituents of a sentence to the semantic roles they fill. In the paradigm of frame semantics, a frame is an abstracted description of an action or state. Examples of semantic frames include, among many others, Communicatio...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 2000-02-18

Pubyear: 2000

Format: ps

Identifier: http://citeseer.ist.psu.edu/333834.html

Source: http://www.icsi.berkeley.edu/~gildea/proposal.ps

Language: en

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