Dear colleagues, This year, FinNLP-2023 will be in conjunction with IJCAI-2023 on 20th August 2023, Macao. This year, we organize a Joint Workshop of The 5th Financial Technology And Natural Language Processing (*FinNLP*) and 2nd *Multimodal AI For Financial Forecasting* (Muffin). Thus, papers related to NLP or multimodal AI in finance are welcome.
This year, we have a shared task related to *multilingual ESG issue identification*. Registration is open now, and the datasets are released. Now, we have over 20 teams registered. Welcome to join us! Please refer to our website for more details - FinNLP-2023: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2023/home *Submission Deadline (Extended): May 11, 2023* Accepted papers proceedings will be published at ACL Anthology. ( https://aclanthology.org/venues/finnlp/) Best Regards, FinNLP and Muffin Organizers *Topics*This workshop will hold a research track and two shared tasks. The research track aims to explore recent advances and challenges of NLP & multimodal AI for finance. Researchers from artificial intelligence, computer vision, speech processing, natural language processing, data mining, statistics, optimization, and other fields are invited to submit papers on recent advances, resources, tools, and challenges on the broad theme of Multimodal AI for finance. The topics of the workshop include but are not limited to the following: - Transformer models / Self-supervised / Transfer Learning on Financial Data - Machine Learning for Finance - Natural Language Processing and Speech Applications for Finance - Conversational dialogue modeling for Financial Conference Calls - Social media and User NLP for Finance - Entity extraction and linking, Named-entity recognition, information extraction, relationship extraction, ontology learning in financial documents - Financial Document Processing - Multi-modal financial knowledge discovery - Financial Event detection from Multimedia - Visual-linguistic learning for financial video analysis - Video understanding (human behavior cognition, topic mining, facial expression detection, emotion detection, deception detection, gait and posture analysis, etc.) - Data annotation, acquisition, augmentation, feature engineering, for financial/time-series analysis - Bias analysis and mitigation in financial models and data - Statistical Modeling for Time Series Forecasting - Interpretability and explainability for financial AI models - Privacy-preserving AI for finance *Submission* Authors are invited to submit their unpublished work that represents novel research. The papers should be written in English using the IJCAI-23 author kit and follow the IJCAI 2023 formatting guidelines. Authors can also submit the supplementary materials, including technical appendices, source codes, datasets, and multimedia appendices. All submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to IJCAI 2023 call for papers page. - Short Paper: Up to 4 pages of content including the references. Upon the acceptance, the authors are provided with 1 more page to address the reviewer's comments. - Long Paper: Up to 8 pages of content including the references. Upon the acceptance, the authors are provided with 1 more page to address the reviewer's comments.
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