Information Extraction from Event Announcements
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Jianwei Lu 1 Information Extraction from Event Announcements Student: Jianwei Lu (40942937) Supervisor: Robert Dale
description
Information Extraction from Event Announcements. Student: Jianwei Lu (40942937) Supervisor: Robert Dale. Agenda. Project Introduction Email Event Information Extractor Conclusion. Background. What is Information Extraction (IE)? Automated extraction of key information - PowerPoint PPT Presentation
Transcript of Information Extraction from Event Announcements
Jianwei Lu 1
Information Extraction from Event Announcements
Student: Jianwei Lu (40942937)Supervisor: Robert Dale
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Agenda
Project Introduction Email Event Information Extractor Conclusion
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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] http://www.dcs.shef.ac.uk/~yorick/papers/infoext.pdf
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The Outcomes
Title
URL
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Sample Data
Corpus 1 – 30 documents Corpus 2 – 100 documents Corpus 3 – 1,500 documents
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Agenda
Project Introduction Email Event Information Extractor Conclusion
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My System Architecture
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Text Zoning
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URL Finding Rules
Use pattern to capture URLs Approaches for finding an event URL
1. Search Summary zone2. Search the whole document
Results
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Dates Finding Rules
Use pattern to capture Dates Use clues to find corresponding date
1. submission-date < start-date <= end-date2. no submission-date in a “Call for
Participation” announcement3. etc.
Results
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Locations Finding Rules
Tokenise lines into words Use gazetteer to capture Locations
Results
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Title Finding Rules
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Title Finding Rules (cont’d)
Apply Machine Learning to classify title lines
Refine title after classification
Results
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Current Performance
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Agenda
Project Introduction Email Event Information Extractor Conclusion
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What I have Achieved
Modules for Information Extraction URL Dates Locations Title
Evaluation Framework
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Limitations and Future Work
Extension for refining titles Comparison for titles Comprehensive study on SVM tool and
features used for machine learning
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Implementation Details
Python 2.6 Gazetteer from
http://world-gazetteer.com/
Support Vector Machinehttp://svmlight.joachims.org/
Natural Language Toolkit (NLTK)http://www.nltk.org/Home
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Questions?
