Search results
Hoifung Poon at Microsoft Research. General Manager, Health Futures. About. Publications. Downloads. News & features. About. General Manager at Microsoft Health Futures. I lead Real-World Evidence (RWE) research for advancing AI in precision health. Medicine today is imprecise.
5 days ago · Robin Jia, Cliff Wong, and Hoifung Poon. 2019. Document-Level N-ary Relation Extraction with Multiscale Representation Learning . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) , pages 3693–3704, Minneapolis ...
- Robin Jia, Cliff Wong, Hoifung Poon
- 2019
Sound and efficient inference with probabilistic and deterministic dependencies. H Poon, P Domingos. AAAI 6, 458-463. , 2006. 357. 2006. Neural-symbolic learning and reasoning: A survey and interpretation. AA Garcez, S Bader, H Bowman, LC Lamb, L de Penning, BV Illuminoo, ...
Apr 4, 2019 · Computer Science > Computation and Language. (cs) [Submitted on 4 Apr 2019 ( v1 ), revised 2 Jun 2019 (this version, v2), latest version 26 Jun 2019 ( v3 )] Document-Level $N$-ary Relation Extraction with Multiscale Representation Learning. Robin Jia, Cliff Wong, Hoifung Poon. View a PDF of the paper titled Document-Level $N$-ary Relation ...
- Robin Jia, Cliff Wong, Hoifung Poon
- arXiv:1904.02347 [cs.CL]
- 2019
- NAACL 2019
Robin Jia 1 Cliff Wong 2 Hoifung Poon 2 1 Stanford University, Stanford, California, USA 2 Microsoft Research, Redmond, Washington, USA robinjia@cs.stanford.edu, {cliff.wong,hoifung}@microsoft.com Work done as an intern at Microsoft Research.
Wong, Cliff. ; Poon, Hoifung. Most information extraction methods focus on binary relations expressed within single sentences. In high-value domains, however, $n$-ary relations are of great demand (e.g., drug-gene-mutation interactions in precision oncology).
Hoifung WONG | Research profile. About. 3. Publications. 216. Reads. 215. Citations since 2017. 0 Research Items. 97 Citations. 2017 2018 2019 2020 2021 2022 2023 0 5 10 15 20. Learn about...
