UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing

Anirudh Joshi; Tim Baldwin; Richard O. Sinnott; Cecile Paris

2018 SemEval SemEval 2018

UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Anirudh Joshi, Tim Baldwin, Richard O. Sinnott, Cecile Paris

Topics

Machine Learning > Core Methods > Classification Machine Learning > Core Methods > Representation Learning Machine Learning > Learning Types > Multi-Task Learning Natural Language Processing > Applications > Natural Language Inference Machine Learning > Learning Types > Multi-Agent Systems Deep Learning > Learning Types > Deep Learning

Keywords

multi-task learning text classification natural language inference semantic representation semantic similarity word embedding siamese network stacked lstm generative implication synonym fuzzing

Download PDF