A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task

This paper presents a winning solution for the CCKS-2020 financial event extraction task, where the goal is to identify event types, triggers and arguments in sentences across multiple event types. In this task, we focus on resolving two challenging problems(i.e., low resources and element overlapping) by proposing a joint learning framework, named SaltyFishes. We first formulate the event extraction task as a joint probability model. By sharing parameters in the model across different types, we can learn to adapt to low-resource events based on high-resource events. We further address the element overlapping problems by a mechanism of Conditional Layer Normalization, achieving even better extraction accuracy. The overall approach achieves an F1-score of 87.8% which ranks the first place in the competition.

A Prior Information Enhanced Extraction Framework for Document-level Financial Event Extraction

Document-level financial event extraction(DFEE) is the task of detecting events and extracting the corresponding event arguments in financial documents, which plays an important role in information extraction in the financial domain. This task is challenging as the financial documents are generally long text and event arguments of one event may be scattered in different sentences. To address this issue, we proposed a novel Prior Information Enhanced Extraction framework(PIEE) for DFEE, leveraging prior information from both event types and pre-trained language models. Specifically, PIEE consists of three components: event detection, event argument extraction, and event table filling. In event detection, we identify the event type. Then, the event type is explicitly used for event argument extraction. Meanwhile, the implicit information within language models also provides considerable cues for event arguments localization. Finally, all the event arguments are filled in an event table by a set of predefined heuristic rules. To demonstrate the effectiveness of our proposed framework, we participated in the share task of CCKS2020 Task 4-2: Documentlevel Event Arguments Extraction. On both Leaderboard A and Leaderboard B, PIEE took the first place and significantly outperformed the other systems.

Abstract of Economic and Financial Events

News from Ministries and CommissionsThe Central Conference on Economic Work was held from December 3rd to 5th in Beijing. Six main tasks in the next year were put forward at the Conference:1. Continuously strengthening and improving the macro-economic regulation and control, so as to ensure the smooth, steady and comparatively rapid economic development;2. Continuously providing greater support to agriculture, rural

Abstract of Economic and Financial Events

News from Ministries and CommissionsMinistry of FinanceReforming the mechanism of export tax refunds.The StateCouncil recently issued the decision on reforming the mecha-nism of export tax refunds,so as to carry out the reform of thecurrent mechanism of export tax refunds.The spccific contentsinclude appropriately Iowering the export tax refunds rate,giv-ing more support from the central financial authorities to theexport tax refunds and setting up the new mechanism of jointlyshouldering the burden of export tax refunds by the central andlocal authorities,etc.Treasury bonds issued.The ninth batch book-entry treasurybonds of 2003 were issued from October 24th to October 30th.They were fifteen-year coupon bonds with fixed interest rate.