Multilevel Heuristics for Rationale-Based Entity Relation Classification in Sentences

no code implementations • COLING 2018 • Shiou Tian Hsu, M Chaudhary, ar, Nagiza Samatova

Rationale-based models provide a unique way to provide justifiable results for relation classification models by identifying rationales (key words and phrases that a person can use to justify the relation in the sentence) during the process.

Classification General Classification +3

A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification

no code implementations • EACL 2017 • Shiou Tian Hsu, Changsung Moon, Paul Jones, Nagiza Samatova

Our novel alignment mechanism allows the RNN to selectively include phrase information in a word-by-word sentence representation, and to do this without awareness of the syntactic structure.

General Classification Sentence +2

Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data

no code implementations • 27 Dec 2016 • Anuj Karpatne, Gowtham Atluri, James Faghmous, Michael Steinbach, Arindam Banerjee, Auroop Ganguly, Shashi Shekhar, Nagiza Samatova, Vipin Kumar

Theory-guided data science (TGDS) is an emerging paradigm that aims to leverage the wealth of scientific knowledge for improving the effectiveness of data science models in enabling scientific discovery.