Business event curation: Merging human and automated approaches

Yiqi Wang; Huiying Ma; Nichola Lowe; Maryann Feldman; Charles Schmitt

Business event curation: Merging human and automated approaches

Yiqi Wang
, Huiying Ma
, Nichola Lowe
, Maryann Feldman
, Charles Schmitt

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

Abstract

We present preliminary work to construct a knowledge curation system to advance research in the study of regional economics. The proposed system exploits natural language processing (NLP) techniques to automatically implement business event extraction, provides a user-facing interface to assist human curators, and a feedback loop to improve the performance of the Information Extraction Model for the automated parts of the system. Progress to date has shown that we can improve standard NLP approaches for entity and relationship extraction through heuristic means and provide indexing of extracted relationships to aid curation.

Original language	English (US)
Title of host publication	30th AAAI Conference on Artificial Intelligence, AAAI 2016
Publisher	AAAI press
Pages	4272-4273
Number of pages	2
ISBN (Electronic)	9781577357605
State	Published - 2016
Externally published	Yes
Event	30th AAAI Conference on Artificial Intelligence, AAAI 2016 - Phoenix, United States Duration: Feb 12 2016 → Feb 17 2016

Publication series

Name	30th AAAI Conference on Artificial Intelligence, AAAI 2016

Other

Other	30th AAAI Conference on Artificial Intelligence, AAAI 2016
Country/Territory	United States
City	Phoenix
Period	2/12/16 → 2/17/16

Bibliographical note

Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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@inproceedings{9e8a7513c30f433f9ecc2af7382825bb,

title = "Business event curation: Merging human and automated approaches",

abstract = "We present preliminary work to construct a knowledge curation system to advance research in the study of regional economics. The proposed system exploits natural language processing (NLP) techniques to automatically implement business event extraction, provides a user-facing interface to assist human curators, and a feedback loop to improve the performance of the Information Extraction Model for the automated parts of the system. Progress to date has shown that we can improve standard NLP approaches for entity and relationship extraction through heuristic means and provide indexing of extracted relationships to aid curation.",

author = "Yiqi Wang and Huiying Ma and Nichola Lowe and Maryann Feldman and Charles Schmitt",

note = "Publisher Copyright: {\textcopyright} Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 30th AAAI Conference on Artificial Intelligence, AAAI 2016 ; Conference date: 12-02-2016 Through 17-02-2016",

year = "2016",

language = "English (US)",

series = "30th AAAI Conference on Artificial Intelligence, AAAI 2016",

publisher = "AAAI press",

pages = "4272--4273",

booktitle = "30th AAAI Conference on Artificial Intelligence, AAAI 2016",

}

TY - GEN

T1 - Business event curation

T2 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016

AU - Wang, Yiqi

AU - Ma, Huiying

AU - Lowe, Nichola

AU - Feldman, Maryann

AU - Schmitt, Charles

PY - 2016

Y1 - 2016

N2 - We present preliminary work to construct a knowledge curation system to advance research in the study of regional economics. The proposed system exploits natural language processing (NLP) techniques to automatically implement business event extraction, provides a user-facing interface to assist human curators, and a feedback loop to improve the performance of the Information Extraction Model for the automated parts of the system. Progress to date has shown that we can improve standard NLP approaches for entity and relationship extraction through heuristic means and provide indexing of extracted relationships to aid curation.

AB - We present preliminary work to construct a knowledge curation system to advance research in the study of regional economics. The proposed system exploits natural language processing (NLP) techniques to automatically implement business event extraction, provides a user-facing interface to assist human curators, and a feedback loop to improve the performance of the Information Extraction Model for the automated parts of the system. Progress to date has shown that we can improve standard NLP approaches for entity and relationship extraction through heuristic means and provide indexing of extracted relationships to aid curation.

UR - https://www.scopus.com/pages/publications/85007271205

UR - https://www.scopus.com/pages/publications/85007271205#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:85007271205

T3 - 30th AAAI Conference on Artificial Intelligence, AAAI 2016

SP - 4272

EP - 4273

BT - 30th AAAI Conference on Artificial Intelligence, AAAI 2016

PB - AAAI press

Y2 - 12 February 2016 through 17 February 2016

ER -

Business event curation: Merging human and automated approaches

Abstract

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