The Visualisation of Cognitive Structures in Forensic Statements | IEEE Conference Publication | IEEE Xplore

The Visualisation of Cognitive Structures in Forensic Statements


Abstract:

Forensic statements are often unstructured, intricate, and thus difficult to interpret and assess. This is due to the varied nature and format of how interviews with vict...Show More

Abstract:

Forensic statements are often unstructured, intricate, and thus difficult to interpret and assess. This is due to the varied nature and format of how interviews with victims, witnesses, or suspects are conducted. It is even more difficult for police investigators, lawyers or other legal practitioners to grasp intuitively and accurately the key information pertaining within the varied statements. This research investigates the opportunities in the convergence of linguistic approaches to extracting and reconstructing the cognitive structure, i.e. "Text-Worlds", in a statement, and the computerised operational settings for enabling effective and hopefully more accurate interpretation of forensic discourse through visualisation.
Date of Conference: 19-22 July 2016
Date Added to IEEE Xplore: 01 September 2016
ISBN Information:
Electronic ISSN: 2375-0138
Conference Location: Lisbon, Portugal
Citations are not available for this document.

1. Introduction

Forensic statements are the text records made by victims, witnesses and suspects. Those statements, along with other physical evidence, are often used to reconstruct truthful crime stories during criminal investigations and court proceedings. However, legal practitioners usually have to face necessarily detailed, extremely complicated and large amounts of text records. It is often challenging for them to identify connections between disparate pieces of linguistic evidence, and to properly assess their probative values to the case in question. Various approaches have been developed for evidence representation, manipulation and automated analysis [1]–[3]. However, a rigorous method that can facilitate the interpretation of detailed forensic statements and assist in objective judgments is still underdeveloped.

Cites in Papers - |

Cites in Papers - IEEE (2)

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1.
Depei Wang, Lianglun Cheng, Hongwei Liu, Ruihao Li, Huilin Wang, Hongrui Liu, "Script2Graph: Auto-construct Screenplay Text World by Mining Contextual Information", 2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI), pp.288-293, 2023.
2.
K M Yatheendra Pravan, Udhayakumar Shanmugam, P.V Rajaraman, "INSIGHTS! - a modern deep learning approach to data analysis using Feature Name Substitution Network", 2019 International Conference on Computational Intelligence in Data Science (ICCIDS), pp.1-4, 2019.

Cites in Papers - Other Publishers (3)

1.
Oleg V. Evseev, Aleksandra N. Koh, Elena V. Mikhalkova, "A comparative analysis of text worlds’ elements in the literary tale “Cinderella” by Charles Perrault (translated into Russian) and its screenplay by Yevgeny Schwartz", Tyumen State University Herald. Humanities Research. Humanitates, vol.9, no.1, pp.20, 2023.
2.
Patricia Canning, Yufang Ho, Sara Bartl, "Worlds of evidence", English Text Construction, vol.14, no.1, pp.25, 2021.
3.
Simon Statham, "The year’s work in stylistics 2019", Language and Literature: International Journal of Stylistics, vol.29, no.4, pp.454, 2020.

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References

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