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bib (full) Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting

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Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting
Chung-Chi Chen | Hiroya Takamura | Puneet Mathur | Remit Sawhney | Hen-Hsen Huang | Hsin-Hsi Chen

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Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
Bixing Yan | Shaoling Chen | Yuxuan He | Zhihan Li

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ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Yihao Fang | Xianzhi Li | Stephen Thomas | Xiaodan Zhu

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Beyond Classification: Financial Reasoning in State-of-the-Art Language Models
Guijin Son | Hanearl Jung | Moonjeong Hahm | Keonju Na | Sol Jin

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Textual Evidence Extraction for ESG Scores
Naoki Kannan | Yohei Seki

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A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
Lele Cao | Vilhelm von Ehrenheim | Astrid Berghult | Cecilia Henje | Richard Anselmo Stahl | Joar Wandborg | Sebastian Stan | Armin Catovic | Erik Ferm | Hannes Ingelhag

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Using Deep Learning to Find the Next Unicorn: A Practical Synthesis on Optimization Target, Feature Selection, Data Split and Evaluation Strategy
Lele Cao | Vilhelm von Ehrenheim | Sebastian Stan | Xiaoxue Li | Alexandra Lutz

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Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
Lefteris Loukas | Ilias Stogiannidis | Prodromos Malakasiotis | Stavros Vassos

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DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Yancheng Liang | Jiajie Zhang | Hui Li | Xiaochen Liu | Yi Hu | Yong Wu | Jiaoyao Zhang | Yongyan Liu | Yi Wu

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Reducing tokenizer’s tokens per word ratio in Financial domain with T-MuFin BERT Tokenizer
Braulio Blanco Lambruschini | Patricia Becerra-Sanchez | Mats Brorsson | Maciej Zurad

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LoKI:Money Laundering Report Generation via Logical Table-to-Text using Meta Learning
Harika Cm | Debasmita Das | Ram Ganesh V | Rajesh Kumar Ranjan | Siddhartha Asthana

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Multi-Lingual ESG Issue Identification
Chung-Chi Chen | Yu-Min Tseng | Juyeon Kang | Anaïs Lhuissier | Min-Yuh Day | Teng-Tsai Tu | Hsin-Hsi Chen

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Leveraging Contrastive Learning with BERT for ESG Issue Identification
Weiwei Wang | Wenyang Wei | Qingyuan Song | Yansong Wang

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Leveraging BERT Language Models for Multi-Lingual ESG Issue Identification
Elvys Linhares Pontes | Mohamed Benjannet | Lam Kim Ming

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EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models
Hanwool Lee | Jonghyun Choi | Sohyeon Kwon | Sungbum Jung

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Jetsons at the FinNLP-2023: Using Synthetic Data and Transfer Learning for Multilingual ESG Issue Classification
Parker Glenn | Alolika Gon | Nikhil Kohli | Sihan Zha | Parag Pravin Dakle | Preethi Raghavan

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HKESG at the ML-ESG Task: Exploring Transformer Representations for Multilingual ESG Issue Identification
Ivan Mashkin | Emmanuele Chersoni

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Team HHU at the FinNLP-2023 ML-ESG Task: A Multi-Model Approach to ESG-Key-Issue Classification
Fabian Billert | Stefan Conrad