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WORKSHOP DESCRIPTION:
This is the first joint workshop between FNP and MultiLing workshops (http://multiling.iit.demokritos.gr/), both workshops have been running for several years with great success.
The joint workshop will focus on the use of Natural Language Processing (NLP), Machine Learning (ML), and Corpus Linguistics (CL) methods related to all aspects of financial text mining and financial narrative processing (FNP) in addition to demonstrating the value and challenges of applying summarisation to multilingual financial text, usually referred to as financial narrative disclosures.
There is a growing interest in the application of automatic and computer-aided approaches for extracting, summarising, and analysing both qualitative and quantitative financial data.
CALL FOR PAPERS:
We invite submissions on topics that include, but are not limited to, the following:
- Applying core technologies on financial narratives: morphological analysis, disambiguation, tokenization, POS tagging, named entity recognition, chunking, parsing, semantic role labelling, sentiment analysis, document quality and advanced readability metrics etc.
- Using NLP to detect misreporting in relation to diversity and wellbeing on issues related to gender, ethnicity, women at work as well as employee mental health and stability.
- Financial narratives resources: dictionaries, annotated data, tools and technologies etc.
- Given the international nature of the conference, we particularly welcome FNP papers reporting non- English and multilingual research, describing the different regulatory regimes within which companies operate internationally. Summarisation across domains and sources that are related to finance (e.g. company blogs, product reviews, market briefs, etc.), this includes financial multilingual and cross-lingual summarisation using single-document summarisation, multi-document summarisation, summarisation evaluation, headline generation, cross-domain/cross-topic summarisation.