Identifying interpersonal distance using systemic features

Maria Herke-Couchman; Casey Whitelaw; Jon Patrick

Identifying interpersonal distance using systemic features

Maria Herke-Couchman, Casey Whitelaw, Jon Patrick

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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Abstract

This paper uses Systemic Functional Linguistic (SFL) theory as a basis for extracting semantic features of documents. We focus on the pronominal and determination system and the role it plays in constructing interpersonal distance. By using a hierarchical system model that represents the author’s language choices, it is possible to construct a rich and informative feature representation. Using these systemic features, we report clear separation between registers with different interpersonal distance.

Original language	English
Title of host publication	AAAI'04 Spring Symposium on Exploring Affect and Attitude in Text
Number of pages	4
Publication status	Published - 2004
Event	2004 AAAI Spring Symposium - San Francisco Duration: 22 Mar 2004 → 24 Mar 2004

Conference

Conference	2004 AAAI Spring Symposium
City	San Francisco
Period	22/03/04 → 24/03/04

Bibliographical note

Copyright the Publisher. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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Publisher version (open access)Final published version, 40.3 KBLicence: Unspecified

http://www.aaai.org/Papers/Symposia/Spring/2004/SS-04-07/SS04-07-013.pdf

Cite this

@inproceedings{6a6883abb1da4151bf3d80f742c9a1e3,

title = "Identifying interpersonal distance using systemic features",

abstract = "This paper uses Systemic Functional Linguistic (SFL) theory as a basis for extracting semantic features of documents. We focus on the pronominal and determination system and the role it plays in constructing interpersonal distance. By using a hierarchical system model that represents the author{\textquoteright}s language choices, it is possible to construct a rich and informative feature representation. Using these systemic features, we report clear separation between registers with different interpersonal distance.",

author = "Maria Herke-Couchman and Casey Whitelaw and Jon Patrick",

note = "Copyright the Publisher. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.; 2004 AAAI Spring Symposium ; Conference date: 22-03-2004 Through 24-03-2004",

year = "2004",

language = "English",

booktitle = "AAAI'04 Spring Symposium on Exploring Affect and Attitude in Text",

}

TY - GEN

T1 - Identifying interpersonal distance using systemic features

AU - Herke-Couchman, Maria

AU - Whitelaw, Casey

AU - Patrick, Jon

N1 - Copyright the Publisher. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2004

Y1 - 2004

N2 - This paper uses Systemic Functional Linguistic (SFL) theory as a basis for extracting semantic features of documents. We focus on the pronominal and determination system and the role it plays in constructing interpersonal distance. By using a hierarchical system model that represents the author’s language choices, it is possible to construct a rich and informative feature representation. Using these systemic features, we report clear separation between registers with different interpersonal distance.

AB - This paper uses Systemic Functional Linguistic (SFL) theory as a basis for extracting semantic features of documents. We focus on the pronominal and determination system and the role it plays in constructing interpersonal distance. By using a hierarchical system model that represents the author’s language choices, it is possible to construct a rich and informative feature representation. Using these systemic features, we report clear separation between registers with different interpersonal distance.

M3 - Conference proceeding contribution

BT - AAAI'04 Spring Symposium on Exploring Affect and Attitude in Text

T2 - 2004 AAAI Spring Symposium

Y2 - 22 March 2004 through 24 March 2004

ER -

Identifying interpersonal distance using systemic features

Abstract

Conference

Bibliographical note

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Cite this