Search Results for author: Taylor Cassidy

Found 15 papers, 1 papers with code

MetaPAD: Meta Pattern Discovery from Massive Text Corpora

no code implementations13 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.

Dependency Parsing

Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue

no code implementations10 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.

Dialogue Management Management +1

Using a Distributional Semantic Vector Space with a Knowledge Base for Reasoning in Uncertain Conditions

no code implementations13 Jun 2016 Douglas Summers-Stay, Clare Voss, Taylor Cassidy

The inherent inflexibility and incompleteness of commonsense knowledge bases (KB) has limited their usefulness.

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