Word Embeddings

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )

Papers

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Showing 3751–3775 of 4002 papers

Title	Date	Tasks	Status	Hype
Massively Multilingual Word Embeddings	Feb 5, 2016	Multilingual Word EmbeddingsText Categorization	CodeCode Available	0
A Dual Embedding Space Model for Document Ranking	Feb 2, 2016	Document Rankingmodel	—Unverified	0
Linear Algebraic Structure of Word Senses, with Applications to Polysemy	Jan 14, 2016	Information RetrievalRetrieval	CodeCode Available	0
Trans-gram, Fast Cross-lingual Word-embeddings	Jan 11, 2016	Cross-Lingual Word EmbeddingsGeneral Classification	—Unverified	0
From Word Embeddings to Item Recommendation	Jan 7, 2016	Recommendation SystemsWord Embeddings	CodeCode Available	1
The Role of Context Types and Dimensionality in Learning Word Embeddings	Jan 5, 2016	Learning Word EmbeddingsWord Embeddings	—Unverified	0
Detecting Most Frequent Sense using Word Embeddings and BabelNet	Jan 1, 2016	Word EmbeddingsWord Sense Disambiguation	—Unverified	0
Word Embeddings as Metric Recovery in Semantic Spaces	Jan 1, 2016	Named Entity Recognition (NER)Semantic Similarity	—Unverified	0
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States	Jan 1, 2016	Dependency ParsingFeature Engineering	CodeCode Available	0
Learning Semantic Similarity for Very Short Texts	Dec 2, 2015	Information RetrievalRetrieval	—Unverified	0
Analysis of Word Embeddings and Sequence Features for Clinical Information Extraction	Dec 1, 2015	Clinical Concept ExtractionLanguage Modelling	—Unverified	0
Detection of Multiword Expressions for Hindi Language using Word Embeddings and WordNet-based Features	Dec 1, 2015	Machine TranslationNamed Entity Recognition (NER)	—Unverified	0
Using Word Embeddings for Bilingual Unsupervised WSD	Dec 1, 2015	Word EmbeddingsWord Sense Disambiguation	—Unverified	0
Aspect-based Opinion Summarization with Convolutional Neural Networks	Nov 30, 2015	Aspect ExtractionClassification	—Unverified	0
Named Entity Recognition with Bidirectional LSTM-CNNs	Nov 26, 2015	Entity LinkingFeature Engineering	CodeCode Available	0
On the Linear Algebraic Structure of Distributed Word Representations	Nov 22, 2015	Word Embeddings	—Unverified	0
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes	Nov 22, 2015	Common Sense ReasoningImage Retrieval	CodeCode Available	0
sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings	Nov 19, 2015	Dependency ParsingWord Embeddings	CodeCode Available	0
Multilingual Relation Extraction using Compositional Universal Schema	Nov 19, 2015	Knowledge Base ConstructionRelation	CodeCode Available	0
Compressing Word Embeddings	Nov 19, 2015	Word Embeddings	—Unverified	0
Learning Articulated Motion Models from Visual and Lingual Signals	Nov 17, 2015	Language ModelingLanguage Modelling	—Unverified	0
Learning the Dimensionality of Word Embeddings	Nov 17, 2015	Learning Word EmbeddingsWord Embeddings	—Unverified	0
An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding	Nov 5, 2015	BIG-bench Machine LearningGeneral Classification	—Unverified	0
Controlled Experiments for Word Embeddings	Oct 9, 2015	Word Embeddings	CodeCode Available	0
Mapping Unseen Words to Task-Trained Embedding Spaces	Oct 8, 2015	Dependency ParsingSentiment Analysis	—Unverified	0

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