Event Extraction

DataFunSummit

Oct 29, 2023 · Artificial Intelligence

Construction and Application of a Financial Event Knowledge Graph

This article describes the design, construction pipeline, and practical applications of a financial event knowledge graph, covering background challenges, multi‑layer modeling, information‑extraction techniques, and use cases such as institutional risk monitoring, wealth‑management recommendation, and industry‑chain analysis.

Event ExtractionInformation ExtractionRisk Management

0 likes · 14 min read

Construction and Application of a Financial Event Knowledge Graph

DataFunTalk

Jun 10, 2023 · Artificial Intelligence

Financial Event Analysis and Applications Based on Pre-trained Models

This article introduces the tasks, techniques, and frameworks for financial event analysis using pre‑trained language models, covering unstructured data parsing, event semantics, graph construction, detection, extraction, and prediction, and presents the TDE‑GTEE model that achieves state‑of‑the‑art performance even in few‑shot scenarios.

AIEvent Extractionevent graph

0 likes · 18 min read

Financial Event Analysis and Applications Based on Pre-trained Models

DataFunSummit

May 17, 2023 · Artificial Intelligence

Event Extraction: Overview, Methods, and the OmniEvent Toolkit

This article reviews the development of event extraction, explains its importance for knowledge graphs, surveys four major algorithmic paradigms, introduces the OmniEvent open‑source toolkit with its unified benchmark and modular design, and outlines future research directions such as document‑level extraction and event relation modeling.

Event ExtractionInformation ExtractionKnowledge Graph

0 likes · 11 min read

Event Extraction: Overview, Methods, and the OmniEvent Toolkit

DataFunTalk

Mar 18, 2021 · Artificial Intelligence

Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions

This presentation by Baidu senior R&D engineer Wang Quan outlines the evolution, architecture, and recent breakthroughs of Baidu's knowledge graph, covering universal, event, video, and industry-specific graphs, key technologies such as open knowledge mining, self‑learning, multi‑source fusion, and their applications in search, recommendation, dialogue, and intelligent services.

Event ExtractionIndustry ApplicationsKnowledge Graph

0 likes · 22 min read

Advances in Baidu Knowledge Graph: Technologies, Applications, and Future Directions

DataFunTalk

Sep 16, 2020 · Artificial Intelligence

Hotspot Mining and Event Extraction in Tencent Information Flow: Methods, Framework, and Applications

This article presents Tencent's research on hotspot mining and event extraction for information flow, detailing the challenges of timeliness, comprehensiveness, and heat rationality, the combined use of time‑series analysis, topic detection, clustering, and dynamic‑time‑warping, and the resulting framework and its applications to text, image, and video recommendation.

Event ExtractionNLPhotspot mining

0 likes · 17 min read

Hotspot Mining and Event Extraction in Tencent Information Flow: Methods, Framework, and Applications

DataFunTalk

May 25, 2020 · Artificial Intelligence

NLP Techniques for Financial Investment Analysis: Case Studies from Two Sigma, BlackRock, UC Berkeley and Others

This article reviews how natural language processing is used in financial investment analysis, summarizing case studies from Two Sigma, BlackRock, UC Berkeley and other institutions that apply topic modeling, event extraction and sentiment analysis to improve portfolio performance and achieve excess returns.

Event ExtractionInvestment AnalysisMachine Learning

0 likes · 17 min read

NLP Techniques for Financial Investment Analysis: Case Studies from Two Sigma, BlackRock, UC Berkeley and Others