LIPI at Financial Narrative Summarisation 2022: Extractive Approaches for Summarizing Multi-Lingual Financial Reports

EasyChair Preprint no. 8840

Abstract

In this fast-moving world, it is difficult for investors to read lengthy annual reports of organizations. However, they need to make investment-related decisions relying on facts present in these documents. We participated in the third edition of the Financial Narrative Summarization (2020) shared task. It consisted of summarizing financial documents in three languages: English, Spanish, and Greek. In this paper, we describe the approaches followed by our team, LIPI. Among all the participants, we performed the best for the English sub-task in terms of ROUGE scores. Our source code is available at https://github.com/sohomghosh/Financial_Narrative_Summarization_2022.

Keyphrases: Financial texts, Natural Language Processing, Text Summarization

@Booklet{EasyChair:8840,
  author = {Sohom Ghosh and Sudip Kumar Naskar},
  title = {LIPI at Financial Narrative Summarisation 2022: Extractive Approaches for Summarizing Multi-Lingual Financial Reports},
  howpublished = {EasyChair Preprint no. 8840},

  year = {EasyChair, 2022}}