Jianwei Lu1 Information Extraction from Event Announcements Student: Jianwei Lu ( ) Supervisor: Robert Dale

Jianwei Lu2 Agenda Project Introduction Event Information Extractor Conclusion

Jianwei Lu3 Background What is Information Extraction (IE)?  Automated extraction of key information  Populate a database What are the significances?  Manage and search data efficiently  Aim for other target applications FOR MORE INFO... [Cowie J and Wilks Y n,d]

Jianwei Lu4 The Outcomes Title URL

Jianwei Lu5 Sample Data Corpus 1 – 30 documents Corpus 2 – 100 documents Corpus 3 – 1,500 documents

Jianwei Lu6 Agenda Project Introduction Event Information Extractor Conclusion

Jianwei Lu7 My System Architecture

Jianwei Lu8 Text Zoning

Jianwei Lu9 URL Finding Rules Use pattern to capture URLs Approaches for finding an event URL 1. Search Summary zone 2. Search the whole document Results

Jianwei Lu10 Dates Finding Rules Use pattern to capture Dates Use clues to find corresponding date 1. submission-date < start-date <= end-date 2. no submission-date in a “Call for Participation” announcement 3. etc. Results

Jianwei Lu11 Locations Finding Rules Tokenise lines into words Use gazetteer to capture Locations Results

Jianwei Lu12 Title Finding Rules

Jianwei Lu13 Title Finding Rules (cont’d) Apply Machine Learning to classify title lines Refine title after classification Results

Jianwei Lu14 Current Performance

Jianwei Lu15 Agenda Project Introduction Event Information Extractor Conclusion

Jianwei Lu16 What I have Achieved Modules for Information Extraction  URL  Dates  Locations  Title Evaluation Framework

Jianwei Lu17 Limitations and Future Work Extension for refining titles Comparison for titles Comprehensive study on SVM tool and features used for machine learning

Jianwei Lu18 Implementation Details Python 2.6 Gazetteer from Support Vector Machine Natural Language Toolkit (NLTK)

Jianwei Lu19 Questions?