STORRE
STORRE: Stirling Online Research Repository
http://hdl.handle.net/1893/16518| Appears in Collections: | Computing Science and Mathematics Book Chapters and Sections |
| Peer Review Status: | Refereed |
| Title: | A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure |
| Author(s): | Minhas, Saliha Poria, Soujanya Hussain, Amir Hussainey, Khaled |
| Contact Email: | amir.hussain@stir.ac.uk |
| Editor(s): | Liu, D Alippi, C Zhao, D Hussain, A |
| Citation: | Minhas S, Poria S, Hussain A & Hussainey K (2013) A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure. In: Liu D, Alippi C, Zhao D & Hussain A (eds.) Advances in Brain Inspired Cognitive Systems: 6th International Conference, BICS 2013, Beijing, China, June 9-11, 2013. Proceedings. Lecture Notes in Computer Science, 7888. 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, Beijing, China, 09.06.2013-11.06.2013. Berlin Heidelberg: Springer, pp. 317-327. http://link.springer.com/chapter/10.1007/978-3-642-38786-9_36#; https://doi.org/10.1007/978-3-642-38786-9_36 |
| Keywords: | Narrative Financial Disclosure Biologically Inspired SenticNet |
| Issue Date: | 2013 |
| Date Deposited: | 8-Aug-2013 |
| Series/Report no.: | Lecture Notes in Computer Science, 7888 |
| Abstract: | Indisputably, financial reporting has a key role to play in the efficient workings of capitalist economies. Problems related to agency and asymmetric information (Jensen and Meckling, 1976) would abound and cripple financial markets, as it has done when left unchecked (Enron, WorldCom and Tyco). However for too long, quantitative data has monopolised the assessment and prediction role within this arena and this has contributed to the failures, borne out by research (Kumar & Ravi, 2007). As qualitative data proliferates, containing value relevant information it needs to be factored into the analysis. This paper reviews work on financial narrative disclosures and looks at conventional artificial intelligence and more recent biologically inspired computational approaches to catapult the domain to more progressive methods of using linguistic data in evaluations. |
| Rights: | The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. |
| URL: | http://link.springer.com/chapter/10.1007/978-3-642-38786-9_36# |
| DOI Link: | 10.1007/978-3-642-38786-9_36 |
| Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
| File | Description | Size | Format | |
|---|---|---|---|---|
| A review of artificial intelligence and biologically inspired computational approaches.pdf | Fulltext - Published Version | 196.42 kB | Adobe PDF | Under Embargo until 3000-05-31 Request a copy |
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.