Skip to main content

Greek Verb Semantic Processing for Stock Market Text Mining

  • Conference paper
  • First Online:
Natural Language Processing — NLP 2000 (NLP 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1835))

Included in the following conference series:

Abstract

In the present paper we present the implementation and application of a system for computer semantic processing of Greek verbs occurring in Greek Stock Market Texts. The system has been implemented with the programming language Prolog and it accomplishes functions like the automatic detection of circular definitions and the automatic transformation of definitions into special forms in which verbs that express basic concepts are used. The application of the system concerns the interface of a user with an Intelligent Information Extraction and Text Mining System, which is under construction. The Computational Lexicon constructed supports the Deductive Mining of Knowledge from Texts about the behaviour of companies. The knowledge acquired is used for the answering of questions about the behaviour of companies from the texts using the ARISTA method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Boguraev B., Pustejovsky J.: Lexical Knowledge Representation and Natural Language Processing, in: Artificial Intelligence 63, Elsevier (1993) 193–223

    Article  Google Scholar 

  2. Kontos, J.: Syntax-Directed Processing of Texts with Action Semantics. Cybernetica, 23, 2 (1980) 157–175

    Google Scholar 

  3. Kontos, J.: Syntax-Directed Plan Recognition with a Microcomputer. Microprocessing and Microprogramming. 9, (1982) 227–279

    Article  Google Scholar 

  4. Kontos, J.: Syntax-Directed Fact Retrieval from Texts with a Micro-Computer. Proc. MELECON’ 83, Athens (1983)

    Google Scholar 

  5. Kontos, J.: Natural Language Processing of Scientific/Technical Data, Knowledge and Text Bases. Proceedings of ARTINT Workshop. Luxembourg (1985)

    Google Scholar 

  6. Kontos, J., Cavouras, J. C: Knowledge Acquisition from Technical Texts Using Attribute Grammars. The Computer Journal., Vol 31, No 6, (1988) 525–530

    Article  Google Scholar 

  7. Kontos, J.: ARISTA: Knowledge Engineering with Scientific Texts. Information and Software Technology, Vol. 34, No 9, (1992) 611–616

    Article  Google Scholar 

  8. Kontos, J.: Artificial Intelligence and Natural Language Processing (In Greek) E. Benou, Athens, Greece (1996)

    Google Scholar 

  9. Kontos, J., Malagardi, I.: Information and Knowledge Extraction from Medical Texts. Health Telematics Education Conference, Athens (1998)

    Google Scholar 

  10. Kontos, J., Malagardi, I.: Information Extraction and Knowledge Acquisition from Texts using Bilingual Question-Answering. Journal of Intelligent and Robotic Systems. Kluwer Academic Publishers, 26(2), (1999) 103–122

    Article  Google Scholar 

  11. Malagardi, I.: Computer Determination of Relations between the Elements in Noun Phrases of Sublanguages. 17th annual meeting of the Department of Linguistics. Aristotle Univ. of Thessaloniki (1996)

    Google Scholar 

  12. MUC-6: Proceedings of the Sixth Message Understanding Conference. J. Aberdeen et al. (1995)

    Google Scholar 

  13. Wilks, Y.: Information Extraction as a Core Language Technology. In Pazienza, M. T. Information Extraction. LNAI Tutorial. Springer, (1997) 1–9

    Google Scholar 

  14. Wilks, Y., Catizone, R.: Can we Make Information Extration More Adaptive? Proceedings of ES99, The Nineteenth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Springer (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kontos, J., Malagardi, I., Alexandris, C., Bouligaraki, M. (2000). Greek Verb Semantic Processing for Stock Market Text Mining. In: Christodoulakis, D.N. (eds) Natural Language Processing — NLP 2000. NLP 2000. Lecture Notes in Computer Science(), vol 1835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45154-4_36

Download citation

  • DOI: https://doi.org/10.1007/3-540-45154-4_36

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67605-8

  • Online ISBN: 978-3-540-45154-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics