Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Two/Too Simple Adaptations of Word2Vec for Syntax Problems
How much do word embeddings encode about syntax?
Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings
sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings
Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
Adaptation of Word Vectors using Tree Structure for Visual Semantics
Retrofitting Sense-Specific Word Vectors Using Parallel Text
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy
Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models
Cross-lingual syntactically informed distributed word representations
Chinese Grammatical Error Diagnosis Using Single Word Embedding.
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations
Implicitly Incorporating Morphological Information into Word Embedding
Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings
AProbabilisticModel for SemanticWord Vectors
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Diachronic word embeddings and semantic shifts: a survey
Discovery of Evolving Semantics through Dynamic Word Embedding Learning
Word-Sense Disambiguation Using Statistical Methods
Extending and Improving Wordnet via Unsupervised Word Embeddings
Generating Typed Dependency Parses from Phrase Structure Parses
VANET Modeling and Clustering Design Under Practical Traffic, Channel and Mobility Conditions
Combining geometry and combinatorics: A unified approach to sparse signal recovery
Cognitive load and autonomic response patterns under negative priming demand in depersonalization‐derealization disorder
Twitter Sentiment Analysis