Financial Technology and Natural Language Processing (2023)
Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting
Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting
Chung-Chi Chen
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Hiroya Takamura
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Puneet Mathur
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Remit Sawhney
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Hen-Hsen Huang
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Hsin-Hsi Chen
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
Bixing Yan
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Shaoling Chen
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Yuxuan He
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Zhihan Li
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Yihao Fang
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Xianzhi Li
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Stephen Thomas
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Xiaodan Zhu
Beyond Classification: Financial Reasoning in State-of-the-Art Language Models
Guijin Son
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Hanearl Jung
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Moonjeong Hahm
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Keonju Na
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Sol Jin
Textual Evidence Extraction for ESG Scores
Naoki Kannan
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Yohei Seki
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models
Lele Cao
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Vilhelm von Ehrenheim
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Astrid Berghult
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Cecilia Henje
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Richard Anselmo Stahl
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Joar Wandborg
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Sebastian Stan
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Armin Catovic
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Erik Ferm
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Hannes Ingelhag
Using Deep Learning to Find the Next Unicorn: A Practical Synthesis on Optimization Target, Feature Selection, Data Split and Evaluation Strategy
Lele Cao
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Vilhelm von Ehrenheim
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Sebastian Stan
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Xiaoxue Li
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Alexandra Lutz
Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance
Lefteris Loukas
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Ilias Stogiannidis
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Prodromos Malakasiotis
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Stavros Vassos
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Yancheng Liang
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Jiajie Zhang
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Hui Li
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Xiaochen Liu
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Yi Hu
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Yong Wu
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Jiaoyao Zhang
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Yongyan Liu
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Yi Wu
Reducing tokenizer’s tokens per word ratio in Financial domain with T-MuFin BERT Tokenizer
Braulio Blanco Lambruschini
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Patricia Becerra-Sanchez
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Mats Brorsson
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Maciej Zurad
LoKI:Money Laundering Report Generation via Logical Table-to-Text using Meta Learning
Harika Cm
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Debasmita Das
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Ram Ganesh V
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Rajesh Kumar Ranjan
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Siddhartha Asthana
Multi-Lingual ESG Issue Identification
Chung-Chi Chen
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Yu-Min Tseng
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Juyeon Kang
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Anaïs Lhuissier
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Min-Yuh Day
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Teng-Tsai Tu
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Hsin-Hsi Chen
Leveraging Contrastive Learning with BERT for ESG Issue Identification
Weiwei Wang
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Wenyang Wei
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Qingyuan Song
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Yansong Wang
Leveraging BERT Language Models for Multi-Lingual ESG Issue Identification
Elvys Linhares Pontes
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Mohamed Benjannet
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Lam Kim Ming
EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models
Hanwool Lee
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Jonghyun Choi
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Sohyeon Kwon
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Sungbum Jung
Jetsons at the FinNLP-2023: Using Synthetic Data and Transfer Learning for Multilingual ESG Issue Classification
Parker Glenn
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Alolika Gon
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Nikhil Kohli
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Sihan Zha
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Parag Pravin Dakle
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Preethi Raghavan
HKESG at the ML-ESG Task: Exploring Transformer Representations for Multilingual ESG Issue Identification
Ivan Mashkin
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Emmanuele Chersoni
Team HHU at the FinNLP-2023 ML-ESG Task: A Multi-Model Approach to ESG-Key-Issue Classification
Fabian Billert
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Stefan Conrad