Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution
Model-based Word Embeddings from Decompositions of Count Matrices
A Probabilistic Model for Learning Multi-Prototype Word Embeddings
AProbabilisticModel for SemanticWord Vectors
Improving Document Ranking with Dual Word Embeddings
sparse word embeddings using ℓ1 regularized online learning .
Sparse Overcomplete Word Vector Representations
Evaluating Word Embeddings Using a Representative Suite of Practical Tasks
Dynamic Word Embeddings via Skip-Gram Filtering
Intrinsic Subspace Evaluation of Word Embedding Representations
Improving Word Embeddings with Convolutional Feature Learning and Subword Information
Controlled Experiments for Word Embeddings
Hash Embeddings for Efficient Word Representations
A Simple Approach to Learn Polysemous Word Embeddings
Learning word embeddings efficiently with noise-contrastive estimation
Topic Modeling Using Distributed Word Embeddings
Socialized Word Embeddings
word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
PSDVec: a Toolbox for Incremental and Scalable Word Embedding
Refining Word Embeddings for Sentiment Analysis
In Defense of Word Embedding for Generic Text Representation
edge computing – edge 2018 .
A spectral algorithm for learning class-based n -gram models of natural language
A Compact, Low Input Capacitance Neural Recording Amplifier
Distributed Hierarchical Control Plane of Software Defined Networking
Underwater image dehazing using modified dark channel prior