no code implementations • 13 Mar 2017 • Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han
We propose an efficient framework, called MetaPAD, which discovers meta patterns from massive corpora with three techniques: (1) it develops a context-aware segmentation method to carefully determine the boundaries of patterns with a learnt pattern quality assessment function, which avoids costly dependency parsing and generates high-quality patterns; (2) it identifies and groups synonymous meta patterns from multiple facets---their types, contexts, and extractions; and (3) it examines type distributions of entities in the instances extracted by each group of patterns, and looks for appropriate type levels to make discovered patterns precise.
no code implementations • 10 Mar 2017 • Matthew Marge, Claire Bonial, Brendan Byrne, Taylor Cassidy, A. William Evans, Susan G. Hill, Clare Voss
Our overall program objective is to provide more natural ways for soldiers to interact and communicate with robots, much like how soldiers communicate with other soldiers today.
no code implementations • 13 Jun 2016 • Douglas Summers-Stay, Clare Voss, Taylor Cassidy
The inherent inflexibility and incompleteness of commonsense knowledge bases (KB) has limited their usefulness.
no code implementations • NAACL 2016 • Di Lu, Clare Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William Wallace, James Hendler, Mei Si, Lance Kaplan
no code implementations • TACL 2014 • Nathanael Chambers, Taylor Cassidy, Bill McDowell, Steven Bethard
We experiment on the densest event graphs to date and show a 14{\%} gain over state-of-the-art.
Ranked #2 on Temporal Information Extraction on TimeBank