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

17 papers (0% with DOI) · 78 unique authors (26% verified with ORCID)

Anthology ID:: 2023.finnlp-1
Month:: 20 August
Year:: 2023
Address:: Macao
Venues:: FinNLP | WS
Events:: Financial Technology and Natural Language Processing (2023) | Other Workshops and Events (2023)
SIG:: SIGFinTech
Publisher:: -
URL:: https://aclanthology.org/2023.finnlp-1/
DOI:
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PDF:: https://aclanthology.org/2023.finnlp-1.pdf

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

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

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

Textual Evidence Extraction for ESG Scores
Naoki Kannan | Yohei Seki

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 Krakowski | Xiaoxue Li | Alexandra Lutz

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

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

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

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

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

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

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

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