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 801–825 of 4002 papers

Title	Date	Tasks	Status	Score
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces	Sep 13, 2019	Word Embeddings	CodeCode Available	5
Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training	Sep 1, 2019	Aspect Category DetectionOpinion Mining	CodeCode Available	5
Lifelong Domain Word Embedding via Meta-Learning	May 25, 2018	Lifelong learningMeta-Learning	CodeCode Available	5
Lifelong Learning of Topics and Domain-Specific Word Embeddings	Aug 1, 2021	Lifelong learningWord Embeddings	CodeCode Available	5
Deep word embeddings for visual speech recognition	Oct 30, 2017	Lipreadingspeech-recognition	CodeCode Available	5
Linear Ensembles of Word Embedding Models	Apr 5, 2017	regressionWord Embeddings	CodeCode Available	5
Beyond Word2Vec: Embedding Words and Phrases in Same Vector Space	Dec 18, 2017	Phrase Vector EmbeddingSemantic Textual Similarity	CodeCode Available	5
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them	Mar 9, 2019	Word Embeddings	CodeCode Available	5
Assessing Social and Intersectional Biases in Contextualized Word Representations	Nov 4, 2019	FairnessSentence	CodeCode Available	5
Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation	Aug 31, 2018	DecoderMachine Translation	CodeCode Available	5
Local Word Vectors Guiding Keyphrase Extraction	Oct 20, 2017	Keyphrase ExtractionWord Embeddings	CodeCode Available	5
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction	Sep 12, 2019	Cross-Lingual Word EmbeddingsWord Embeddings	CodeCode Available	5
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy	Sep 3, 2018	Deep LearningSentence	CodeCode Available	5
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation	May 23, 2023	Machine TranslationTransfer Learning	CodeCode Available	5
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction	Feb 3, 2025	Computational EfficiencyLearning Word Embeddings	CodeCode Available	5
Assessing the Reliability of Word Embedding Gender Bias Measures	Sep 10, 2021	Word Embeddings	CodeCode Available	5
A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection	Dec 1, 2020	Language ModelingLanguage Modelling	CodeCode Available	5
Mapping distributional to model-theoretic semantic spaces: a baseline	Jul 11, 2016	Dependency ParsingQuestion Answering	CodeCode Available	5
Assessing Wordnets with WordNet Embeddings	Jul 1, 2019	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	5
Massively Multilingual Word Embeddings	Feb 5, 2016	Multilingual Word EmbeddingsText Categorization	CodeCode Available	5
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers	Aug 1, 2023	Adversarial Robustnessimage-classification	CodeCode Available	5
Generating Timelines by Modeling Semantic Change	Sep 21, 2019	Word Embeddings	CodeCode Available	5
Measuring Semantic Similarity of Words Using Concept Networks	Aug 1, 2016	Representation LearningSemantic Similarity	CodeCode Available	5
Measuring Social Biases in Grounded Vision and Language Embeddings	Feb 20, 2020	Word Embeddings	CodeCode Available	5
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance	Oct 1, 2018	Word Embeddings	CodeCode Available	5

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