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Relation Extraction (spatial and temporal together, person-location-time ) from raw web news text in different languages(English, German, Hindi). Different Natural Language Processing techniques and Machine Learning techniques are exercised. Feature Engineering was the most critical part that I already designed common to all experimenting langu…

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ShihabYasin/Person-Location-Time-Association-by-Classification

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PERSON_LOCATION_TIME-CLASSIFIER

With NIST Scientist Judith Gelernter, PhD

Relation Extraction (spatial and temporal together, person-location-time ) from raw web news text in different languages(English, German, Hindi). Different Natural Language Processing and Machine Learning techniques were exercised. Feature Engineering was the most critical part that I designed common to all experimenting languages. Experimented with Support Vector Machines and later Ensemble Learning. Before that I designed a specialized annotation scheme to be applied on collected web data and finally collected in extensible markup language format for further application and improvement.

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Relation Extraction (spatial and temporal together, person-location-time ) from raw web news text in different languages(English, German, Hindi). Different Natural Language Processing techniques and Machine Learning techniques are exercised. Feature Engineering was the most critical part that I already designed common to all experimenting langu…

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