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

🌉 Interdisciplinary Bridge - Deep Learning and Machine Learning and Natural Language Processing

🧭 Keyword Pioneer - stacked lstm

🐝 Cross-Pollinator - Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

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

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