Accepted Papers

Main Track

Financial News Annotation by Weakly-Supervised Hierarchical Multi-label Learning

Hang Jiang, Zhongchen Miao, Yuefeng Lin, Chenyu Wang, Mengjun Ni, Jian Gao, Jidong Lu and Guangwei Shi

Variations in Word Usage for the Financial Domain

Syrielle Montariol, Alexandre Allauzen and Asanobu Kitamoto

Detecting Omissions of Risk Factors in Company Annual Reports

Corentin Masson and Syrielle Montariol

A Semantic Approach to Financial Fundamentals

Jiafeng Chen and Suproteem Sarkar

Learning Company Embeddings from Annual Reports for Fine-grained Industry Characterization

Tomoki Ito, Jose Camacho Collados, Hiroki Sakaji and Steven Schockaert

Unsupervised Discovery of Firm-Level Variables in Earnings Call Transcript Embeddings

Daniel Edmiston and Ziho Park

Using Extractive Lexicon-based Sentiment Analysis to Enhance Understanding ofthe Impact of Non-GAAP Measures in Financial Reporting

Stacey Taylor and Vlado Keselj

Shared Task Track

FinSBD

FinSBD-2020: The 2nd Shared Task on Sentence Boundary Detection in Unstructured Text in the Financial Domain

Willy Au, Bianca Chong, Abderrahim Ait Azzi and Dialekti Valsamou-Stanislawski

PublishInCovid19 at the FinSBD-2 Task: Sentence and List Extraction in Noisy PDF Text Using a Hybrid Deep Learning and Rule-Based Approach

Janvijay Singh

aiai at the FinSBD-2 Task: Sentence, list and Item Boundary Detection and Items classification of Financial Texts Using Data Augmentation and Attention

Ke Tian, Hua Chen and Jie Yang

Daniel at the FinSBD-2 Task: Extracting List and Sentence Boundaries from PDF Documents, a model-driven approach to PDF document analysis

Emmanuel Giguet and Gaël Lejeune

Subtl.ai at the FinSBD-2 task: Document Structure Identification by Paying Attention

Abhishek Arora, Aman Khullar, Sarath Chandra Pakala, Vishnu Ramesh and Manish Shrivastava


FinSim

The FinSim 2020 Shared Task: Learning Semantic Representations for the Financial Domain

Ismail El Maarouf, Youness Mansar, Virginie Mouilleron and Dialekti Valsamou-Stanislawski

IITK at the FinSim Task: Hypernym Detection in Financial Domain via Context-Free and Contextualized Word Embeddings

Vishal Keswani, Sakshi Singh and Ashutosh Modi

Anuj at the FinSim Task: Anuj@FINSIM–Learning Semantic Representation of Financial Domain with Investopedia

Anuj Saini

ProsperAMnet at the FinSim Task: Detecting hypernyms of financial concepts via measuring the information stored in sparse word representations

Gábor Berend, Norbert Kis-Szabó and Zsolt Szántó

FINSIM20 at the FinSim Task: Making Sense of Text in Financial Domain

Vivek Anand, Yash Agrawal, Aarti Pol and Vasudeva Varma