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An Overview of Event Extraction From Text PDF

10 Pages·2015·English
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by ['Nate Chamness']| 2015| 10 pages| English

About An Overview of Event Extraction From Text

This document provides an overview of event extraction techniques from unstructured text. It discusses three main approaches: data-driven, knowledge-driven, and hybrid. Data-driven approaches use machine learning and statistics to discover relationships without explicit semantics. Knowledge-driven approaches use predefined patterns and rules representing expert knowledge and linguistics to extract events. Hybrid approaches combine data-driven and knowledge-driven techniques. The document reviews examples of each approach and evaluates them based on required data, domain knowledge, user expertise, and interpretability of results.

Detailed Information

Author:['Nate Chamness']
Publication Year:2015
Pages:10
Language:English
Format:PDF
Price:FREE
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