Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A Hybrid Learning Scheme for Chinese Word Embedding
Improve Chinese Word Embeddings by Exploiting Internal Structure
The Role of Context Types and Dimensionality in Learning Word Embeddings
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components
A Simple Approach to Learn Polysemous Word Embeddings
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation
Word-Context Character Embeddings for Chinese Word Segmentation
Neural Word Segmentation Learning for Chinese
An Exploration of Word Embedding Initialization in Deep-Learning Tasks
Distilling Word Embeddings: An Encoding Approach
Definition Modeling: Learning to define word embeddings in natural language
Learning Context-Specific Word/Character Embeddings
WordRank: Learning Word Embeddings via Robust Ranking
Learning distributed word representation with multi-contextual mixed embedding
Controlled Experiments for Word Embeddings
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
A Survey of Cross-lingual Word Embedding Models
Segmentation-Free Word Embedding for Unsegmented Languages
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation
3DLAT: TSV-based 3D ICs crosstalk minimization utilizing Less Adjacent Transition code
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
“ it ' s ok — not everyone can be good at math ” : instructors with an entity theory comfort ( and demotivate ) students .
Towards Understanding Relational Orientation: Attachment Theory and Facebook Activities
Advances in Highly Constrained Multi-Phase Trajectory Generation using the General Pseudospectral Optimization Software (GPOPS)