Cause Information Extraction from Financial Articles Concerning Business Performance

Hiroyuki SAKAI; Shigeru MASUYAMA

doi:10.1093/ietisy/e91-d.4.959

Cause Information Extraction from Financial Articles Concerning Business Performance

Hiroyuki SAKAI, Shigeru MASUYAMA

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We propose a method of extracting cause information from Japanese financial articles concerning business performance. Our method acquires cause information, e.g. "(zidousya no uriage ga koutyou: Sales of cars were good)". Cause information is useful for investors in selecting companies to invest. Our method extracts cause information as a form of causal expression by using statistical information and initial clue expressions automatically. Our method can extract causal expressions without predetermined patterns or complex rules given by hand, and is expected to be applied to other tasks for acquiring phrases that have a particular meaning not limited to cause information. We compared our method with our previous one originally proposed for extracting phrases concerning traffic accident causes and experimental results showed that our new method outperforms our previous one.

Publication: IEICE TRANSACTIONS on Information Vol.E91-D No.4 pp.959-968

Publication Date: 2008/04/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e91-d.4.959

Type of Manuscript: Special Section PAPER (Special Section on Knowledge-Based Software Engineering)

Category: Knowledge Engineering

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Hiroyuki SAKAI, Shigeru MASUYAMA, "Cause Information Extraction from Financial Articles Concerning Business Performance" in IEICE TRANSACTIONS on Information, vol. E91-D, no. 4, pp. 959-968, April 2008, doi: 10.1093/ietisy/e91-d.4.959.
Abstract: We propose a method of extracting cause information from Japanese financial articles concerning business performance. Our method acquires cause information, e.g. "(zidousya no uriage ga koutyou: Sales of cars were good)". Cause information is useful for investors in selecting companies to invest. Our method extracts cause information as a form of causal expression by using statistical information and initial clue expressions automatically. Our method can extract causal expressions without predetermined patterns or complex rules given by hand, and is expected to be applied to other tasks for acquiring phrases that have a particular meaning not limited to cause information. We compared our method with our previous one originally proposed for extracting phrases concerning traffic accident causes and experimental results showed that our new method outperforms our previous one.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.4.959/_p

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@ARTICLE{e91-d_4_959,
author={Hiroyuki SAKAI, Shigeru MASUYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Cause Information Extraction from Financial Articles Concerning Business Performance},
year={2008},
volume={E91-D},
number={4},
pages={959-968},
abstract={We propose a method of extracting cause information from Japanese financial articles concerning business performance. Our method acquires cause information, e.g. "(zidousya no uriage ga koutyou: Sales of cars were good)". Cause information is useful for investors in selecting companies to invest. Our method extracts cause information as a form of causal expression by using statistical information and initial clue expressions automatically. Our method can extract causal expressions without predetermined patterns or complex rules given by hand, and is expected to be applied to other tasks for acquiring phrases that have a particular meaning not limited to cause information. We compared our method with our previous one originally proposed for extracting phrases concerning traffic accident causes and experimental results showed that our new method outperforms our previous one.},
keywords={},
doi={10.1093/ietisy/e91-d.4.959},
ISSN={1745-1361},
month={April},}

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TY - JOUR
TI - Cause Information Extraction from Financial Articles Concerning Business Performance
T2 - IEICE TRANSACTIONS on Information
SP - 959
EP - 968
AU - Hiroyuki SAKAI
AU - Shigeru MASUYAMA
PY - 2008
DO - 10.1093/ietisy/e91-d.4.959
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2008
AB - We propose a method of extracting cause information from Japanese financial articles concerning business performance. Our method acquires cause information, e.g. "(zidousya no uriage ga koutyou: Sales of cars were good)". Cause information is useful for investors in selecting companies to invest. Our method extracts cause information as a form of causal expression by using statistical information and initial clue expressions automatically. Our method can extract causal expressions without predetermined patterns or complex rules given by hand, and is expected to be applied to other tasks for acquiring phrases that have a particular meaning not limited to cause information. We compared our method with our previous one originally proposed for extracting phrases concerning traffic accident causes and experimental results showed that our new method outperforms our previous one.
ER -