Paper: Extracting Social Networks and Biographical Facts From Conversational Speech Transcripts

ACL ID P07-1131
Title Extracting Social Networks and Biographical Facts From Conversational Speech Transcripts
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2007
Authors

We present a general framework for automatically extracting social networks and biographical facts from conversational speech. Our approach relies on fusing the output produced by multiple informa- tion extraction modules, including entity recognition and detection, relation detec- tion, and event detection modules. We describe the specific features and algo- rithmic refinements effective for conver- sational speech. These cumulatively in- crease the performance of social network extraction from 0.06 to 0.30 for the devel- opment set, and from 0.06 to 0.28 for the test set, as measured by f-measure on the ties within a network. The same frame- work can be applied to other genres of text — we have built an automatic biography generation system for general domain text using the same approa...