{"id":1931,"date":"2019-05-02T23:13:07","date_gmt":"2019-05-02T21:13:07","guid":{"rendered":"https:\/\/eaa-online.org\/arc\/events\/search-high-quality-financial-reporting-narratives-concepts-evidence-methods"},"modified":"2019-05-02T23:13:07","modified_gmt":"2019-05-02T21:13:07","slug":"search-high-quality-financial-reporting-narratives-concepts-evidence-methods","status":"publish","type":"event","link":"https:\/\/eaa-online.org\/arc\/events\/search-high-quality-financial-reporting-narratives-concepts-evidence-methods","title":{"rendered":"In Search of High Quality Financial Reporting Narratives: Concepts, Evidence & Methods"},"content":{"rendered":"

In Search of High Quality Financial Reporting Narratives: Concepts, Evidence & Methods <\/strong><\/p>\n

The Work Foundation, London SW1H 0AD<\/p>\n

Monday, 1 July 2019<\/p>\n

Overview<\/strong><\/p>\n

Text constitutes the majority of content disclosed by companies during their annual reporting cycle. Growth in the volume of unstructured (textual) data is creating demand for technological solutions to assist the task of processing content and extracting meaning from financial reports. Academic researchers in accounting are also turning to methods from computer science and computational linguistics to study the properties and consequences of high quality narrative reporting.<\/p>\n

This one-day workshop unites accounting researchers, financial market professionals, and experts in textual analysis with the goal of sharing views on the properties of high quality annual report narratives and the methods for analysing them. Enhanced practical understanding of the features shaping narrative reporting quality is critical for academic researchers interested in studying the phenomenon. Similarly, cutting-edge research in accounting affords insights into the text processing opportunities available to financial market professionals. Finally, both accounting researchers and professionals require guidance from linguistics and computer scientists on the practicalities of analysing text.     <\/p>\n

The workshop programme comprises a novel combination of practice-focused sessions, research summaries, and introductions to aspects of natural language processing (NLP) and corpus linguistics for those new to the area. The workshop is supported by the Economic and Social Research Council, Lancaster University Management School, and the Centre for Corpus Approaches to Social Science.<\/p>\n

Workshop programme<\/strong><\/p>\n

Sessions<\/u><\/p>\n