FinArg-2:
Temporal Inference of Financial Arguments

NLPFinChung-Chi Chen, AIRC, AIST, Japan
Hen-Hsen Huang, Institute of Information Science, Academia Sinica, Taiwan
Hsin-Hsi Chen, Department of Computer Science and Information Engineering, National Taiwan University
Hiroya Takamura, AIRC, AIST, Japan
Yu-Lieh Huang, Department of Quantitative Finance, National Tsing Hua University
Alaa Alhamzeh, Department of Computer Sciences, University of Passau

http://finarg.nlpfin.com/

Overview of FinArg Task Series
NLPFinReferences:[1] Chen, Chung-Chi, Hen-Hsen Huang, and Hsin-Hsi Chen. "Evaluating the rationales of amateur investors." Proceedings of the Web Conference. 2021
[2] Alhamzeh, A., Fonck, R., Versmée, E., Egyed-Zsigmond, E., Kosch, H., & Brunie, L. "It’s Time to Reason: Annotating Argumentation Structures in Financial Earnings Calls: The FinArg Dataset." FinNLP-2022[3] Ramon Ruiz-Dolz, Chr-Jr Chiu, Chung-Chi Chen, Noriko Kando, Hsin-Hsi Chen. Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain. LREC-COLING-2024

2Task and Dataset
NLPFin3Professional Stock Research Report
NLPFinBullishGiven a premise, infer the impact duration of it. (Future)4

Social Media Discussion Thread
NLPFinGiven a claim, infer the valid period of it. (Future)

5Earnings Conference Call
NLPFinCompany
Manager

Apple Inc. (NASDAQ:AAPL) Q1 2024 Earnings Call Transcript

Revenue for the December quarter was $119.6 billion, up 2% from last year.
Within this Quarter

Given an argument, identify the temporal tag. (Past)
PeriodWithin this Quarter
Up to Two Quarter
Half to one Year
More than one Year
Not Mentioned1509311460
1,767

ProfessionalAnalysts

6

Why FinArg-2 Tasks are Important?
NLPFin7

Professional Stock Research Report
NLPFin•Improving Forecasting Skill Assessment from Text

8

Social Media Discussion Thread
NLPFin•Improving the Performance on Stock Movement Prediction based on Text

9

FinArg-2: Temporal Inference of Financial Arguments•NLPFin

Professional Stock Research Report (31,656 instances)•

Given a premise, infer the impact duration of it. (Future)
Useful for Forecasting Skill Analysis (FinArg-3)•Social Media Post (8,760 instances)•Given a claim, infer the valid period of it. (Future)
Useful for Stock Movement Prediction•Earnings Conference Call (2,184 instances)•

Given an argument, identify the temporal tag. (Past)
PeriodWithin this Quarter
Up to Two Quarter
Half to one Year
More than one Year
Not Mentioned

150
93
114
60
1,767

10

Related Events
NLPFin•FinNLP-AgentScen Workshop @ IJCAI-2024 – August 3 – 9 – Jeju, South Korea•Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario
Planning (AgentScen)•Main Track Submission Deadline: April 26th.

•

Shared Tasks• Multiple Question Generation from Presentation Transcripts (MQG)• Forward-Looking Document Comment Generation (DCG)• Financial Large Language Model Evaluation (FinLLM)••

The 17th International Natural Language Generation Conference (INLG) – September 23 - 27 – AIST, Tokyo, Japan••

https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-agentscen/home

https://inlg2024.github.io/

Join us if you also attend•

NumEval: Numeral-Aware Language Understanding and Generation (NumEval) @ SemEval (NAACL)•FinNLP-KDF-ECONLP Workshop @ LREC-COLING• Two Invited Talks• 20 Main Track Papers• Two shared Tasks• https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-kdf-2024/home11Natural Language Processing in Finance Group
http://nlpfin.com/