Identifying Entity Relationships in News Reports

27. January 2010

Martin Jačala, Jozef TvarožekFaculty of Informatics and Information TechnologySlovak University of Technology in Bratislava, Slovakia

Introduction

Analysis of text extracted from news reports Identification of persons, organizations, etc. Large amount of available data Providing constantly updated information The same person in various situations Revealing new, previously “hidden”

information Feedback of the community

27. January 2010

Method overview Text extracted from HTML

documents Part-of-speech tagging

HMM based

Entity identification Important phase Building corpora

Relationship analysis Rule based, input from previous layers

Presentation layer User friendly, accessible

27. January 2010

Results http://ktokoho.info

User interface

Relations between entities

Users can contribute

User modeling

Reusable data

Evaluation on corpus of articles written in Slovak language with 60% recall

27. January 2010