Paper: Frame Semantic Tree Kernels for Social Network Extraction from Text

ACL ID E14-1023
Title Frame Semantic Tree Kernels for Social Network Extraction from Text
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

In this paper, we present work on ex- tracting social networks from unstructured text. We introduce novel features de- rived from semantic annotations based on FrameNet. We also introduce novel se- mantic tree kernels that help us improve the performance of the best reported sys- tem on social event detection and classi- fication by a statistically significant mar- gin. We show results for combining the models for the two aforementioned sub- tasks into the overall task of social net- work extraction. We show that a combina- tion of features from all three levels of ab- stractions (lexical, syntactic and semantic) are required to achieve the best performing system.