DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output.
Nabin MaharjanRajendra BanjadeDipesh GautamLasang Jimba TamangVasile RusPublished in: SemEval@ACL (2017)
Keyphrases
- gaussian mixture model
- semantic similarity
- sentence level
- word sense disambiguation
- sentiment analysis
- mixture model
- co occurrence
- wordnet
- similarity measure
- novelty detection
- feature vectors
- sentiment classification
- semantic information
- em algorithm
- multi document summarization
- expectation maximization
- vector space model
- maximum likelihood
- relevance model
- image segmentation
- feature space
- pairwise
- vector space
- reinforcement learning
- low level
- probabilistic model
- unsupervised learning
- distance measure
- dimensionality reduction
- semi supervised