1. Identifying Entity Relationships in News Reports 27. January 2010 Martin Jačala, Jozef Tvarožek Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava, Slovakia

2. 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

3. 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

4. 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