ADROIT: Automatic discourse relation organizer of internet-based text

A. S M Mahbub Morshed; Mitsuru Ishizuka

ADROIT: Automatic discourse relation organizer of internet-based text

A. S M Mahbub Morshed, Mitsuru Ishizuka

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

Abstract

The ADROIT system that we are developing allows automatic discourse analysis of information rich natural language texts extracted directly from the web. We use guidelines and relations of Rhetorical Structure Theory (RST) to decompose texts into elementary segments and to perform the discourse parsing between them. In this paper, we present version 1.0 of ADROIT and focus on the noble technique of cue-phrase disambiguation and machine learning for identification and organization of discourse relations.

Original language	English
Title of host publication	Proceedings of the National Conference on Artificial Intelligence
Pages	1824-1825
Number of pages	2
Volume	3
Publication status	Published - 2008
Externally published	Yes
Event	23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08 - Chicago, IL Duration: 2008 Jul 13 → 2008 Jul 17

Other

Other	23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08
City	Chicago, IL
Period	08/7/13 → 08/7/17

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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title = "ADROIT: Automatic discourse relation organizer of internet-based text",

abstract = "The ADROIT system that we are developing allows automatic discourse analysis of information rich natural language texts extracted directly from the web. We use guidelines and relations of Rhetorical Structure Theory (RST) to decompose texts into elementary segments and to perform the discourse parsing between them. In this paper, we present version 1.0 of ADROIT and focus on the noble technique of cue-phrase disambiguation and machine learning for identification and organization of discourse relations.",

author = "Morshed, {A. S M Mahbub} and Mitsuru Ishizuka",

year = "2008",

language = "English",

isbn = "9781577353683",

volume = "3",

pages = "1824--1825",

booktitle = "Proceedings of the National Conference on Artificial Intelligence",

note = "23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference, AAAI-08/IAAI-08 ; Conference date: 13-07-2008 Through 17-07-2008",

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AU - Morshed, A. S M Mahbub

AU - Ishizuka, Mitsuru

PY - 2008

Y1 - 2008

N2 - The ADROIT system that we are developing allows automatic discourse analysis of information rich natural language texts extracted directly from the web. We use guidelines and relations of Rhetorical Structure Theory (RST) to decompose texts into elementary segments and to perform the discourse parsing between them. In this paper, we present version 1.0 of ADROIT and focus on the noble technique of cue-phrase disambiguation and machine learning for identification and organization of discourse relations.

AB - The ADROIT system that we are developing allows automatic discourse analysis of information rich natural language texts extracted directly from the web. We use guidelines and relations of Rhetorical Structure Theory (RST) to decompose texts into elementary segments and to perform the discourse parsing between them. In this paper, we present version 1.0 of ADROIT and focus on the noble technique of cue-phrase disambiguation and machine learning for identification and organization of discourse relations.

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M3 - Conference contribution

AN - SCOPUS:57749118693

SN - 9781577353683

VL - 3

SP - 1824

EP - 1825

BT - Proceedings of the National Conference on Artificial Intelligence

Y2 - 13 July 2008 through 17 July 2008

ER -

ADROIT: Automatic discourse relation organizer of internet-based text

Abstract

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ASJC Scopus subject areas

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