DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output

Nabin Maharjan; Rajendra Banjade; Dipesh Gautam; Lasang J. Tamang; Vasile Rus

2017 SemEval SemEval 2017

DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output

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

🐣 Hot Topic Early Bird - sentence embedding

Authors

Nabin Maharjan, Rajendra Banjade, Dipesh Gautam, Lasang J. Tamang, Vasile Rus

Topics

Machine Learning > Core Methods > Embedding Learning Natural Language Processing > Understanding > Semantic Analysis Natural Language Processing > Applications > Natural Language Inference Machine Learning > Bayesian & Probabilistic > Gaussian Processes Deep Learning > Learning Types > Representation Learning

Keywords

word alignment semantic similarity gaussian mixture model sentence embedding

Download PDF