GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System

Authors

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro Szekely, T.K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel Rodriguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang

Abstract

In the past year the GAIA team has improved our end-to-end knowledge extraction, grounding, inference, clustering and hypothesis generation system that covers all languages (English, Russian and Ukrainian), data modalities and knowledge element types defined in new AIDA ontologies. We participated in the evaluations of all tasks within TA1, TA2 and TA3 and achieved highly competitive performance. Our TA1 system achieves top performance at both intrinsic evaluation and extrinsic evaluation through TA2 and TA3. The system incorporates a number of impactful and fresh research innovations