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Embedding Learning

3751 directly classified papers

Papers per year

Papers

Knowledge Representation with Conceptual Spaces COLING 2018
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases COLING 2018
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations COLING 2018
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet SEMEVAL 2018
Embedding Words as Distributions with a Bayesian Skip-gram Model COLING 2018
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge SEMEVAL 2018
Learning Word Embeddings for Data Sparse and Sentiment Rich Data Sets NAACL 2018
TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors SEMEVAL 2018
Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018
Improving Knowledge Graph Embedding Using Simple Constraints ACL 2018
Optimal Bounds for Johnson-Lindenstrauss Transformations JMLR 2018
The Search Problem in Mixture Models JMLR 2018
Learning from Comparisons and Choices JMLR 2018
Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering NAACL 2018
Querying Word Embeddings for Similarity and Relatedness NAACL 2018
Robust Cross-Lingual Hypernymy Detection Using Dependency Context NAACL 2018
Neural Tensor Networks with Diagonal Slice Matrices NAACL 2018
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors COLING 2018
300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes SEMEVAL 2018
Link and Code: Fast Indexing With Graphs and Compact Regression Codes CVPR 2018
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection NAACL 2018
Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation? NAACL 2018
Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding EMNLP 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
Statistical Inference on Random Dot Product Graphs: a Survey JMLR 2018