SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features
Sunny Lai, Kwong‐Sak Leung, Yee Leung · 2018
We present SUNNYNLP, our system for solving SemEval 2018 Task 10: "Capturing Discriminative Attributes".Our Support-Vector-Machine(SVM)-based system combines features extracted from pre-trained embeddings and statistical information from Is-A taxonomy to detect semantic difference of concepts pairs.Our system is demonstrated to be effective in detecting semantic difference and is ranked 1 st in the competition in terms of F1 measure.The open source of our code is coined SUNNYNLP 1 .